Dissertations / Theses on the topic 'Multicriteria- Spatial Decision Support System'
To see the other types of publications on this topic, follow the link: Multicriteria- Spatial Decision Support System.
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 dissertations / theses for your research on the topic 'Multicriteria- Spatial Decision Support System.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse dissertations / theses on a wide variety of disciplines and organise your bibliography correctly.
1
FERRETTI, VALENTINA. "Multicriteria- Spatial Decision Support Systems (MC-SDSS): un approccio integrato per le valutazioni strategiche degli interventi di trasformazione territoriale." Doctoral thesis, Politecnico di Torino, 2011. http://hdl.handle.net/11583/2502240.
Full textAbstract:
Nel contesto delle valutazioni di sostenibilità delle trasformazioni territoriali e, più in generale, della gestione dell’ambiente e delle risorse naturali, i problemi decisionali con i quali i Decision Makers si confrontano sono tipicamente caratterizzati dal coinvolgere una componente spaziale (individuazione di aree idonee ad ospitare discariche, valutazione ambientale strategica di piani regolatori, etc.), dal richiedere più di un criterio di valutazione e dal perseguire più di un obiettivo (protezione dell’ambiente, ma anche crescita economica e giustizia sociale, ossia sviluppo sostenibile).
Al fine di gestire la crescente complessità in tale contesto di analisi è necessario garantire, da un lato, un approccio sistemico e di tipo non lineare e, dall’altro, un’integrazione di metodi e discipline.
Questo ha stimolato, in fase operativa, l’integrazione delle funzioni spaziali tipiche dei Geographic Information Systems (GIS) con quelle di Analisi Multicriteri tipiche dei Decision Support Systems (DSS; Burstein e Holsapple, 2008), generando i modelli denominati Multicriteria- Spatial Decision Support Systems (MC-SDSS; Malczewski, 1999) e sviluppando una piattaforma ideale per l’analisi, la strutturazione e la risoluzione di problemi inerenti alla gestione dell’ambiente e del territorio.
I modelli MC-SDSS costituiscono strumenti di analisi e valutazione recentemente sviluppati in campo internazionale ma ancora scarsamente sperimentati a livello nazionale e rappresentano una delle più recenti evoluzioni delle procedure di valutazione (Valutazione di Impatto Ambientale –VIA, Valutazione Ambientale Strategica –VAS e Valutazione di Incidenza Ecologica –VIE) nell’ambito degli interventi di trasformazione territoriale.
Obiettivo generale del testo è quello di esplorare strumenti di lavoro innovativi in grado di aiutare la comprensione dei fenomeni complessi relativi alle trasformazioni del territorio e, in particolare, di evidenziare il contributo delle tecniche MC-SDSS all’interno delle procedure di VIA, VAS e VIE e alla scelta di alternative di intervento.
La tesi si articola in 6 capitoli, alcuni prettamente metodologici, altri applicativi.
In particolare, il capitolo 1 contestualizza l’approfondimento proponendo una riflessione sulla complessità dei sistemi ed evidenziando come quest’ultima ponga con forza la questione della valutazione, con particolare riferimento all’attività di decision- making a supporto delle analisi di sostenibilità e della pianificazione. Il secondo e il terzo capitolo sono, invece, caratterizzati da una connotazione prettamente metodologica. Il capitolo 2 presenta infatti dettagliatamente i due strumenti dalla cui integrazione nascono i modelli MC-SDSS, ovvero le tecniche di Analisi Multicriteri e i sistemi GIS, fornendo per entrambi cenni storici ed illustrandone i fondamenti metodologici al fine di sottolineare le limitazioni intrinsecamente associate ad entrambi, nonché il valore aggiunto derivante dalla loro integrazione. Il capitolo 3 illustra quindi il risultato di tale innovativo approccio metodologico mettendo in luce quali siano gli elementi fondamentali di un’Analisi Multicriteri spaziale e quali i possibili gradi di integrazione tra i sopra menzionati strumenti. La trattazione prosegue illustrando, nel capitolo 4, un’analisi dettagliata relativa allo stato dell’arte delle tecniche MC-SDSS finalizzata ad evidenziare il crescente interesse manifestato nel corso degli ultimi anni nei confronti di tale innovativa metodologia e, soprattutto, ad illustrare quali siano i trend più attuali della ricerca in tale settore, attraverso lo sviluppo di una classificazione della letteratura scientifica pubblicata negli ultimi 4 anni. Al fine di dare maggiore concretezza alla trattazione, il capitolo 5 propone lo sviluppo e l’applicazione di un modello MC-SDSS basato sull’integrazione tra il GIS e una particolare tecnica di Analisi Multicriteri recentemente distintasi per le sue potenzialità nella rappresentazione di problemi decisionali complessi e denominata Analytic Network Process (ANP; Saaty, 2005) per la valutazione dell’idoneità del territorio nell’area Nord Est della Provincia di Torino alla localizzazione di una discarica di rifiuti solidi urbani. Tale applicazione si caratterizza come una delle prime sperimentazioni della spatial ANP a livello nazionale. L’ultimo capitolo del testo affronta, infine, la questione dell’applicabilità dei modelli MC-SDSS nei processi decisionali, mettendo in luce limiti e potenzialità degli stessi strumenti e proponendo una riflessione su alcuni aspetti sensibili.
2
Alkimim, Akenya Freire de. "Multicriteria decision analysis applied to the spatial allocation of crops as a planning support system for agricultural expansion in Brazil." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/11/11140/tde-21032014-112043/.
Full textAbstract:
The history of the advancement of the agricultural frontier in Brazil has been closely related to environmental losses. Although environmental losses are sometimes inevitable in the context of agricultural expansion, they should always be minimized. This study seeks to avoid the past pattern of development by proposing a more sustainable way of expanding agriculture. The research tests whether it is possible to expand the cultivation of food and fuel crops in Brazil without compromising natural ecosystems. Brazil has a great agricultural potential considering the significant amount of lands that is suitable for agriculture with a favorable climate and topography. To supply the domestic agricultural market and for Brazil to take on a global food and biofuel export leadership position, actions should be taken to plan for this potential sustainable expansion. This planning would be an alternative means of advancing the agricultural frontier, as opposed to the deforestation previously practiced. A way to accomplish a sustainable pattern of agricultural development could be by the identification of suitable areas to support the expansion without further loss of forestlands. Pasture is a type of land use that occupies large areas in Brazil, and pastures are considered strategic resources for the effectiveness of the proposed expansion, given that they represent areas that have already been deforested and offer some type of existing infrastructure. In addition, from the current biophysical potential production - pasture based beef cattle - may be underused. The goal of this dissertation is to develop a spatial allocation model based on a multicriteria decision making and geographic information systems (GIS) using land suitability analysis to support decision makers with geospatial information about where potential areas for sugarcane and soybean expansion are located in Brazil. The multicriteria decision analysis (MCDA) consists of physical land suitability, infrastructure and socioeconomic data integration to identify suitable pasturelands for crop allocation. To enhance the reliability of the model, a team of specialists in the agricultural crops was selected to establish the criteria priorities in the model for the analysis process. The combination of their judgments gives an overall priority that feeds the multicriteria model. \"What if\" scenarios were also built to show how changes in the criteria priority weights would modify the spatial distribution of suitability classes in relation to the main model. The results yield maps that represent the distribution of suitability classes for sugarcane and soybean expansion. Pasturelands become more or less suitable for sugarcane or soybean allocation according to shifts in the influence of each criterion in the model. The designed models show results that may assist policymakers with geospatial information about priority areas where investments and efforts should be directed for sustainable agricultural expansion in Brazil.A história do avanço da fronteira agrícola no Brasil tem sido intrinsecamente relacionada ao desmatamento. Embora perdas ambientais sejam, por vezes, inevitáveis no contexto de uma expansão agrícola, elas devem ser reduzidas sempre que possível. Tentando não seguir um padrão de desenvolvimento feito à custa de desmatamentos, e pensando numa forma mais sustentável de expansão da agricultura, nós avaliamos nesse estudo a possibilidade de expansão agrícola, para produção de alimentos e de biocombustíveis, sem o comprometimento do ecossistema natural existente no país. O Brasil tem um grande potencial agrícola atribuído à significativa quantidade de solos aptos para agricultura com clima e topografia favoráveis. Para abastecer o mercado agrícola nacional e assumir uma posição de liderança global na exportação de alimentos e biocombustíveis, ações devem ser tomadas pelo Brasil para o planejamento desse potencial de expansão. Esse planejamento seria um modelo alternativo para o avanço da fronteira agrícola, oposto aos padrões de avanço anteriores diretamente relacionados ao desmatamento. Uma forma de conseguir um padrão de desenvolvimento sustentável poderia ser pela identificação de terras agrícolas aptas à essa expansão sem estimular maiores perdas de florestas. As pastagens ocupam grandes áreas no Brasil e são consideradas recursos estratégicos para a eficácia dessa expansão, uma vez que representam áreas que já foram desmatadas e oferecem algum tipo de infraestrutura. Dado o atual potencial biofísico de produção, estima-se que as áreas de pastagem destinadas à pecuária bovina podem estar sendo subutilizadas. O objetivo desse trabalho é desenvolver um modelo de alocação espacial fundamentado numa análise de decisão multicritério e SIG com base na aptidão agrícola das terras, de forma a fornecer informações geoespaciais estratégicas aos tomadores de decisão sobre a localização das áreas potenciais para a expansão da cana-de-açúcar e soja no Brasil. A análise de decisão multicritério (MCDA) consiste na integração de dados edafoclimáticos, de infraestrutura e socioeconômicos para a identificação das áreas de pastagens aptas para a alocação dessas culturas. Para aumentar a confiabilidade do modelo, uma equipe de especialistas em cana-deaçúcar e soja foi selecionada para julgar a prioridade das variáveis no processo de análise. A combinação dos julgamentos fornece uma prioridade geral das variáveis, as quais alimentam o modelo. \"E se\" cenários foram também elaborados para mostrar como as mudanças nos pesos dos critérios modificariam a distribuição espacial das classes de aptidão com relação ao modelo principal. Os resultados são exibidos através de mapas que representam a distribuição das classes de aptidão agrícola para a alocação dos cultivos da cana-de-açúcar e soja. As pastagens tornam-se tanto mais adequadas para a alocação da cana ou soja de acordo com as mudanças na influência de cada critério no modelo. Os modelos projetados mostram resultados favoráveis que podem ajudar os tomadores de decisão com informações geoespaciais que identificam áreas prioritárias onde investimentos e esforços deveriam ser direcionados para estimular a expansão agrícola sustentável no Brasil.
3
Irfan, Muhammad. "An integrated, multicriteria, Spatial Decision Support System, incorporating environmental, social and public health perspectives, for use in geoenergy and geoenvironmental applications." Thesis, Cardiff University, 2014. http://orca.cf.ac.uk/69771/.
Full textAbstract:
A new Spatial Decision Support System (SDSS) has been designed and developed to address a wide spectrum of semi-structured spatial decision problems. These problems are related to site selection, site ranking and impact assessment. The proposed SDSS is conceptualised as a holistic, informed and impact-based multicriteria decision framework. The system has been developed using the .NET C# programming language and open source geoinformatics technologies such as DotSpatial and SpatiaLite. A combination of existing Multi Criteria Decision Analysis (MCDA) and Artificial Intelligence (AI) techniques, with a few novel variations have been developed and incorporated into the SDSS. The site selection module utilises a theme-based Analytical Hierarchy Process (AHP) and Weighted Linear Combination (WLC). Two site ranking techniques have been introduced in this research. The first technique is based on the systematic neighbourhood comparison of sites with respect to key indicators. The second technique utilises multivariate ordering capability of the one-dimensional Self-Organizing Maps (SOM) to rank the sites. The site impact assessment module utilises a theme-based Rapid Impact Assessment Matrix (RIAM). A spatial variant of the General Regression Neural Networks (GRNN) with a genetic algorithm for optimisation has been developed for the prediction and regression analysis. A number of other spatial knowledge discovery and geovisual-analytics tools have been provided in the system to facilitate spatial decision making process. An application of the SDSS has been presented to investigate the potential of Coalbed Methane (CBM) development in Wales, UK. Most potential sites have been identified by utilising the site selection and site ranking tools of the developed SDSS. An impact assessment has been carried out on the best sites by using Rapid Impact Assessment Matrix. Further analysis has uncovered the spatial variability expected in the potential impacts of the sites, considering key indicators. The application has demonstrated that the developed system can help the decision makers in providing a balanced regime of social, environmental, public health and economic aspects into the decision making process for engineering interventions. The generic nature of the developed system has extended the concept of Spatial Decision Support System to address a range of spatial decision problems, thereby enhancing the effectiveness of the decision making process. The developed system can be considered as a useful modern governance tool, incorporating the key factors into decision making and providing optimal solutions for the critical questions related to energy security and economic future of the region.
4
Mansilla, Miguel. "A spatial decision support system framework for rural energy planning." Thesis, University of Reading, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.414556.
Full text
5
Regmi, Binaya. "Web-enabled Spatial Decision Support System for Interdisciplinary Watershed Management." Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/35383.
Full textAbstract:
The development and use of web-enabled tools for watershed modeling and decision-making have gained popularity lately with the increase in internet speed and accessibility. Most of the web-enabled tools available today address the watershed problems related to a narrow discipline like hydrology, or ecology etc. This thesis presents the work done in the development of a web-enabled integrated system, named WebL2W, which can address watershed problems in a more holistic approach.WebL2W integrates models from hydrology, economics, and biology in a single shell. The integration is performed using GIS as a common platform for database and interface management. A user accesses the system over the web and chooses pre-selected land development patterns to create a 'what if' scenario. The hydrologic model simulates effects of the scenario on annual runoff volume, flood peaks of various return periods, and ground water recharge. The economics model evaluates the changes in land value, tax revenue, and government expenditures as a result of the new land development scenario. The biology model evaluates effects of new land uses to fish habitats in the watershed. The design of the system is based on current software engineering practices such as object oriented programming (OOP) and relational database management system (RDBMS). The implementation uses the Visual Basic programming environment and Active Server Pages.
Master of Science
6
Hlaváč, Vít. "Geografický IS jako Decision Support System." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-10377.
Full textAbstract:
This thesis deals relationship between geographical information systems and decision support systems. Its objective is to verify hypothesis, if it is possible to consider geographical information systems as decision support systems. Opening chapter attends to explanation what is GIS and its usage in practise. Second part is engaged in definition of decision support systems. There are some examples from practise, which help us confirm or refuse the hypothesis, in the last chapter.
7
Dill, Robert W. "Data warehousing and data quality for a Spatial Decision Support System." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1997. http://handle.dtic.mil/100.2/ADA336886.
Full textAbstract:
Thesis (M.S. in Information Technology Management) Naval Postgraduate School, Sept. 1997.Thesis advisors, Daniel R. Dolk, George W. Thomas, and Kathryn Kocher. Includes bibliographical references (p. 203-206). Also available online.
8
Barton, John Edward Built Environment Faculty of Built Environment UNSW. "A spatial decision support system for the management of public housing." Awarded by:University of New South Wales, 2007. http://handle.unsw.edu.au/1959.4/35209.
Full text
9
Canessa, Rosaline Regan. "Towards a coastal spatial decision support system for multiple-use management." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ32737.pdf.
Full text
10
Davey, Faye Elanor. "A GIS based spatial decision support system for landscape character assessment." Thesis, University of Plymouth, 2012. http://hdl.handle.net/10026.1/1168.
Full textAbstract:
Landscape Character Assessment (LCA) provides a structured approach to identifying the character and distinctiveness about the landscape. It is a tool used to identify what makes a location unique, a set of techniques and procedures used to map differences between landscapes based on their physical, cultural and historical characteristics. Although the UK has committed to assessing all of its landscapes by signing the European Landscape Convention in 2006, only 60% of coverage has been achieved. The majority of LCAs are carried out by professional environment or landscape consultancies rather than ‘in-house’. Geographical Information Systems are increasingly being used to collate and analyse data and produce character maps. This research presents a Spatial Decision Support System (LCA-SDSS) based in ArcGIS 9.3 that can be used to support decision makers in conducting a LCA. The LCA-SDSS provides a method for storing data, a model base for the assessment of Landform, Ground Type, Land Cover & Cultural attributes and a method for the user to interact with the resulting maps. Using the Tamar Valley Area of Outstanding Natural Beauty (AONB) as a study area the SDSS was developed and tested, resulting in character maps for each stage of the modelling and a final characterisation map. These maps were compared to a LCA conducted by a professional environmental consultant and were found to have produced a good quality assessment as verified by the end user at the Tamar Valley AONB Partnership.
11
Jones, Kylie. "Application of a spatial decision support system to National Park management." Thesis, Jones, Kylie (2014) Application of a spatial decision support system to National Park management. Masters by Coursework thesis, Murdoch University, 2014. https://researchrepository.murdoch.edu.au/id/eprint/26024/.
Full textAbstract:
National park managers must balance multiple, potentially conflicting management objectives and criteria, often in the face of limited budgets and patchy data. A spatial decision support system, based on a multi-criteria evaluation, was the option explored for overcoming these difficulties. It was applied to selected national parks in Western Australia with the aim of integrating several quantitative and qualitative datasets with national park managers’ assessments of the relative importance of the multiple indicators of parks’ biodiversity, Aboriginal heritage and recreation values. The outcomes were used to highlight areas within a national park, and national parks within the state, of highest management priority.
The results of this research indicate the use of a spatial decision support system can enhance decision processes by making the trade-offs that are inevitable in decision making for national park management more transparent, and can assist managers to produce more effective, evidence-based decision outcomes. With appropriate acknowledgement of limitations in data, these outcomes can be valuable to national park managers in other management or planning decisions.
12
Alsawydani, Saleh. "Development of an incident-responsive spatial decision support system for the Hajj." Thesis, University of Ottawa (Canada), 1996. http://hdl.handle.net/10393/10130.
Full textAbstract:
This study provides a framework and general guidelines for the development of an Incident Responsive Spatial Decision Support System (IRSDSS) using a geographic information system approval. The system designed is for disaster response operations of the Saudi Red Crescent Society during the Hajj season. In recent years, a number of serious disasters have occurred during the Hajj and the need for a superior response system to deal with such events and minimize their consequences is evident. Such a response system will rely on increased use of automation in the communications and in some way to include geography. The Hajj is a special religious gathering that takes place at the last month of the lunar calendar every year. The Hajj has particular settings and characteristics not the least of which is its magnitude in terms of number of pilgrims, physical settings, and length of time. During this period the Saudi Red Crescent Society has specific needs and requirements to manage emergency situations and incidents. The settings and needs of disasters are evaluated and analyzed when developing IRSDSS system and data models presented in this study. Structured analysis methodology is applied, and various modeling tools are used to satisfy the objectives of this research. The primary objective of this study is to examine the applicability of geographic information systems for dispatching resources in response to disasters. Two scenarios are developed to test who should respond first to an incident and what resources should be deployed to that incident. The system is tested under various incident magnitudes, using the Arafat Holy Site as a pilot area. The determinant factors used to answer the question posed by the scenarios are: the optimal path to the incident location, capacity of the Saudi Red Crescent Society stations, and the magnitude of the incident. The findings of this research indicate that the geographic information system technology, in its current state of vendor practices, does not provide complete facilities to support the objectives of the scenarios developed in this study. To demonstrate acceptable solutions to these issues, further data manipulation and analysis are undertaken and special additional C code programs are written for this purpose. When these programs are integrated with geographic information systems technology, they yield an effective spatial reference system that could be used by the Saudi Red Crescent Society for disaster response during the Hajj season.
13
Murphy, Sean. "Development and Assessment of a Spatial Decision Support System for Conservation Planning." Fogler Library, University of Maine, 2003. http://www.library.umaine.edu/theses/pdf/MurphyS2003.pdf.
Full text
14
Basson, F. C. (Frederick Christoffel). "A spatial decision support system for groundwater abstraction impact assessment and licensing." Thesis, Stellenbosch : Stellenbosch University, 2005. http://hdl.handle.net/10019.1/50279.
Full textAbstract:
Thesis (MSc)--Stellenbosch University, 2005.ENGLISH ABSTRACT: Water resources in South Africa are limited and groundwater plays an important role in supporting basic human needs, sustaining ecosystems and enabling industrial and agricultural development. Sound management practices are necessary to ensure sustainable development of water resources. All groundwater usage must be licensed in compliance with the National Water Act of 1998. A Spatial Decision Support System (SDSS) can be used to assist in the groundwater usage licensing process of the Department of Water Affairs and Forestry (DWAF). The main aim of this study was to develop a SDSS, named Groundwater Abstraction & Licence Evaluation Tool (GALET), that could assist in the process of allocating water use licences and determining the local impact of abstraction, based on existing theory and data. The development was done within ArcView 3.2 using the scripting language Avenue. The Sandveld, an arid stretch of land along the west coast of South Africa that is heavily impacted by groundwater abstraction, was the chosen study area. The data collected for this study included existing borehole, recharge, rainfall and geological information. GALET proved to be capable of calculating essential information needed to evaluate groundwater abstraction, which included drawdown in the water table, zone of influence and the possible effects on features such as rivers and wetlands. Targeted potential users regarded GALET as a useful tool in the process of licensing and groundwater abstraction impact assessment and plans are under way to implement GALET or a derivative thereof at the DWAF regional offices.
AFRIKAANSE OPSOMMING: Waterhulpbronne in Suid-Afrika is beperk en grondwater speel 'n belangrike rol in die ondersteuning van basiese menslike behoeftes, volhouding van ekosisteme asook industriële en landbou-ontwikkeling. Betroubare bestuurspraktyke is noodsaaklik om die volhoubare ontwikkeling van waterhulpbronne te verseker. Alle grondwatergebruik moet volgens die Nasionale Waterwet van 1998 gelisensieer word. 'n Ruimtelike Besluitnemings Ondersteuning Stelsel (RBOS) kan as 'n hulpmiddel gebruik word in die lisensiëringsproses van die Departement van Waterwese en Bosbou. Die hoofdoel van hierdie studie was om 'n RBOS, genoem Groundwater Abstraction & Licence Evaluation Tool (GALET), te ontwikkel wat as hulpmiddel gebruik kan word in die allokeringsproses van watergebruiklisensies en die bepaling van die impak van grondwateronttrekking op die omgewing, gebaseer op bestaande teorie en data. Die ontwikkeling is in ArcView 3.2 met die programmeringstaal Avenue gedoen. Die Sandveld, 'n ariede streek aan die weskus van Suid-Afrika wat onderhewig is aan grootskaalse grondwateronttrekking, is gekies as die studie area. Die data wat vir hierdie studie ingesamel is sluit bestaande boorgat, grondwateraanvulling, reënval en geologiese inligting in. GALET was in staat om belangrike inligting aangaande die evaluering van grondwateronttrekking te bereken, o.a. die daling van die grondwatervlak, die impaksone en die moontlike effekte op landvorms soos riviere en vleilande. Die teikengroep potensiële gebruikers het GALET as 'n nuttige hulpmiddel in die proses van lisensiëring en grondwateronttrekking impakbepaling beskou en planne is onderweg om dit of 'n aangepaste program by die streekskantore van die Departement van Waterwese en Bosbou te implementeer.
15
Jones, Marion. "Data integration issues for a farm GIS-based spatial decision support system." Thesis, University of South Wales, 2003. https://pure.southwales.ac.uk/en/studentthesis/data-integration-issues-for-a-farm-gisbased-spatial-decision-support-system(43bb9d53-284a-407a-93fc-659e684a8a69).html.
Full textAbstract:
Farming has a unique role to play in shaping the landscape and enhancing our environment. In recent years, the industry has declined and no longer makes a significant contribution to the national economy. The impact of animal diseases such as BSE and Foot and Mouth has reduced consumer confidence in the quality of food produced. The UK Government, through the introduction of funding schemes, is aiding the recovery of the industry by encouraging farmers to diversify their farming enterprise. One option is the conversion from intensive to organic farming practices, a decision that involves a high level of risk and uncertainty. This research proposes a role for GIS as a decision support tool for a farm manager exploring the options for organic conversion. Where data is captured and held in multiple applications, the GIS-based Spatial Decision Support System (SDSS) must integrate data and models. The use of the GIS must be intuitive, allowing the farm manager to explore different scenarios for land allocation effectively. The interface must allow the amendment of input parameters and present the results from each scenario in a clear, understandable format. This functionality raises important data handling issues that are investigated through the development of a prototype GIS. The identification and assessment of relevant datasets and the seamless integration of data are fundamental to the design of the GIS. Metadata, adhering to international guidelines, are identified as the chief means for discovering, exploring and acquiring spatial datasets from diverse sources. An assessment of the quality and accuracy of the data is essential if they are to be the basis for decision support. Interoperability issues are discussed and suggestions are proposed for the successful integration of data and models for the SDSS through the GIS interface. By providing a visual medium in which alternative strategies can be evaluated, the GIS will enhance the quality of the final decision made by the farm manager.
16
Barnett, Melissa Marie. "A Spatial Decision Support System to Dynamically Compute and Map Neighborhood Indices." Thesis, University of North Texas, 2020. https://digital.library.unt.edu/ark:/67531/metadc1703362/.
Full textAbstract:
Neighborhoods are organic entities that are in a state of constant change and are driven by the specific context of the problem being investigated. The subsequent lack of consensus on a universal geographic definition for what constitutes a neighborhood can lead to biased interpretations of relationships between human activities and place. Further, while existing geographical information system software allows users to combine a range of geographic objects to generate regional units of analyses, their design does not explicitly assess how changing patterns, such as populations, impact the data expressed within them. This research develops an exploratory geographical information system framework that allows users to dynamically delineate neighborhoods based on user-specified characteristics. These include socioeconomic and similar measurements of neighborhood classification from information obtained from secondary data sources, including parcel data, land use/land cover information, and attribute data provided by the United States Postal Service. The proposed methodology creates custom geographies from readily available tract data obtained from various federal and state data repositories to produce indices. By allowing the user to dynamically weigh the combinations of variables used to define their neighborhood, this thesis introduces a solution to a common analytical problem in the discipline.
17
Scheibe, Kevin Paul. "A Spatial Decision Support System for Planning Broadband, Fixed Wireless Telecommunication Networks." Diss., Virginia Tech, 2003. http://hdl.handle.net/10919/11242.
Full textAbstract:
Over the last two decades, wireless technology has become ubiquitous in the United States and other developed countries. Consumer devices such as AM/FM radios, cordless and cellular telephones, pagers, satellite televisions, garage door openers, and television channel changers are just some of the applications of wireless technology. More recently, wireless computer networking has seen increasing employment. A few reasons for this move toward wireless networking are improved electronics transmitters and receivers, reduced costs, simplified installation, and enhanced network expandability.
The objective of the study is to generate understanding of the planning inherent in a broadband, fixed wireless telecommunication network and to implement that knowledge into an SDSS. Intermediate steps toward this goal include solutions to both fixed wireless point-to-multipoint (PMP) and fixed wireless mesh networks, which are developed and incorporated into the SDSS.
This study explores the use of a Spatial Decision Support System (SDSS) for broadband fixed wireless connectivity to solve the wireless network planning problem. The spatial component of the DSS is a Geographic Information System (GIS), which displays visibility for specific tower locations. The SDSS proposed here incorporates cost, revenue, and performance capabilities of a wireless technology applied to a given area. It encompasses cost and range capabilities of wireless equipment, the customersâ propensity to pay, the market penetration of a given service offering, the topology of the area in which the wireless service is proffered, and signal obstructions due to local geography.
This research is both quantitative and qualitative in nature. Quantitatively, the wireless network planning problem may be formulated as integer programming problems (IP). The line-of-sight restriction imposed by several extant wireless technologies necessitates the incorporation of a GIS and the development of an SDSS to facilitate the symbiosis of the mathematics and geography.
The qualitative aspect of this research involves the consideration of planning guidelines for the general wireless planning problem. Methodologically, this requires a synthesis of the literature and insights gathered from using the SDSS above in a what-if mode.Ph. D.
18
Kordi, Maryam. "Comparison of fuzzy and crisp analytic hierarchy process (AHP) methods for spatial multicriteria decision analysis in GIS." Thesis, University of Gävle, Department of Technology and Built Environment, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-669.
Full textAbstract:
There are a number of decision making problems in which Geographical Information System (GIS) has employed to organize and facilitate the procedure of analyzing the problem. These GIS-based decision problems which typically include a number of different criteria and alternatives are generally analyzed by Multicriteria Decision Analysis (MCDA).Different locations within a geographical area represent the alternatives by which the overall goal of the project is achieved. The quality of achieving the goal is evaluated by a set of criteria which should be considered in the work. Analytic Hierarchy Process (AHP) which is a powerful method of MCDA generally can organize spatial problems and decides which alternatives are most suitable for the defined problems. However due to some intrinsic uncertainty in the method, a number of authors suggest fuzzifying the method while others are against fuzzification of the AHP.
The debate over fuzzifying AHP is going on and attempt for finding that was mostly in theory, and little, if any; practical comparison between the AHP and fuzzified AHP has done. This work presents a practical comparison of AHP and fuzzy AHP in a GIS-based problem, case study, for locating a dam in Costa Rica, considering different criteria. In order to perform the AHP and fuzzy AHP in the GIS-based problem and calculating weights of the criteria by the methods, some computer codes have written and developed in MATLAB.
The comparisons between the AHP and fuzzy AHP methods are done on result weights and on the result final maps. The comparison between the weights is repeated on different levels of uncertainty in fuzzy AHP then all the results are compared with the result of AHP method. Also this study for checking the effect of fuzzification on results is suggested Chi-Square test as a suitable tool.
Comparisons between the resulting weights of the AHP and fuzzy AHP methods show some differences between the methods. Furthermore, the Chi-Square test shows that the higher level of uncertainty in the fuzzy AHP, the greater the difference in results between the AHP and fuzzy AHP methods.
19
Kapantow, Gene Henfried Meyer. "A spatial decision support system for location suitability analysis for sustainable tourism development /." St. Lucia, Qld, 2004. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe17872.pdf.
Full text
20
Falk, Peter R. "ARIES : an architectural implementation of a multi-criterion Spatial Decision Support System (SDSS)." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1997. http://handle.dtic.mil/100.2/ADA341746.
Full textAbstract:
Thesis (M.S. in Information Technology Management) Naval Postgraduate School, September 1997."September 1997." Thesis advisor(s): Daniel R. Dolk, Dale M. Courtnery. Includes bibliography references (p. 267-274). Also available online.
21
Dabanli, Ahmet. "Developing A Spatial Decision Support System For Telecom Wireline Infrastructure Of Ankara City." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12611890/index.pdf.
Full textAbstract:
This thesis covers database creation, system design and application development for
wire line telecom infrastructure within Geographical Information Systems (GIS) and
concentrates on spatial decision support applications and serving wire line subscriber
coordinates for emergency calls in Ankara. The main mission of the
Telecommunication in the past was to serve for voice communication activities.
Currently voice, internet, data and video communications are available. These new
services need better bandwidth capacity and/or renewal of infrastructure with Fiber
Optical cables. Telecom has a complex wire line infrastructure, both in physical and
logical topology. It is important to manage this complex infrastructure to give better
services with new installation and update activities. Due to these requirements
Telecom infrastructure needs to be managed with GIS, which visually provide
physical and logical relationships.
In this study it&rsquos aimed to build a GIS system for Turk Telekom (TT) including digitization of wire line cable infrastructure, geocoding subscribers and serving the coordinates of subscribers. The data layers are stored in Oracle Spatial Data Option (SDO) and spatial data information is kept in MapInfo MapCatalog. The data schemes for 81 provinces are created. The applications are developed with Borland Delphi version 7 and Microsoft Visual Studio 2008 .NET Framework. There are several GIS applications developed so far for the infrastructure of TT, since TT needs to know the location and quality of the infrastructure already present in the field and needs spatially to decide on areas that need maintenance including improvement, replacement, and new installations to improve the service. This study is presented as an alternative spatial decision support system for the improvement of the current infrastructure and services given to the customers, by using digitized network and geocoded subscriber data that is stored in GIS system. This study is carried out with customer participation and on site development with Telecom staff.
22
Murphy, Mark A. "An automated spatial decision support system for the relocation of Army Reserve Units." Monterey, California. Naval Postgraduate School, 1997. http://hdl.handle.net/10945/8013.
Full textAbstract:
Approved for public release; distribution is unlimitedThis research analyzes the process used to evaluate potential relocation sites for Army Reserve units from the perspective of military readiness. A comparative decision model (based upon Multi-Attribute Utility Theory), augmented by a Geographic Information System (GIS), was designed and implemented in an automated Spatial Decision Support System (SDSS). This SDSS provides a flexible structure that can be generalized to serve as an executable conceptual model for a wide range of decisions containing significant geographic or location related components. The Army Reserve Installation Evaluation System (ARIES) integrates several commercial software products in a seamless and synergistic manner. Data extracted from numerous large databases is spatially processed by a commercial mapping engine, and then overlaid onto a formal decision model. The decision maker can rely on a single, simplified interface that consistently applies the professional judgement of a panel of experts to produce standardized reports, or choose from a robust suite of methods for model management, sensitivity analysis, and the display of results. A process that previously required weeks can now be completed in minutes. More important, this approach improves the decision maker's effectiveness by conveniently providing insights into the nature of the source data and the decision process
23
Muza, Matej. "Development of a Spatial Decision Support System for Emergency Medical Service Facility Siting." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/42583.
Full textAbstract:
Improved strategic location of an Emergency Medical Service (EMS) facility can significantly increase EMS efficiency. Urban planners need to consider a location that satisfies multiple criteria in order to make an informed decision about a future EMS facility site. Apart from basic criteria such as parcel value and size, decision-makers need to consider area and population coverage from potential parcels. Geographic Information Systems (GIS) provide an adequate analysis environment for EMS facility siting as many considered criteria are of a spatial nature. However, urban planners making decisions about an EMS facility site often lack the necessary expertise to make full use of challenging GIS tools.
In order to help urban planners in the analysis process, this research developed a Spatial Decision Support System (SDSS) for EMS facility siting. The system was developed in ESRI ArcGIS (9.3) using the Visual Basic for Applications (VBA) programming environment. The objective of the system was to integrate spatial data, analysis, and visualization in a single system to help users evaluate a facility siting problem. The systemâ s performance was tested using data for the Town of Blacksburg, VA. In addition, the system was evaluated by local planners and GIS staff with experience in EMS facility siting. Planners agreed the system enables more comprehensive and straightforward use of GIS for EMS facility siting analysis than other available siting tools. Potential improvements include a simpler user interface, synthesis of geoprocessing techniques, reduction of analysis time through automation, and better decision-making by improved visualization of results.Master of Science
24
Miller, Ryan Craig. "A rangeland watershed management spatial decision support system: Design, implementation, and sensitivity analysis." Diss., The University of Arizona, 2004. http://hdl.handle.net/10150/280563.
Full textAbstract:
A prototype spatial decision support system for rangeland watershed management was developed to simplify the process of incorporating advances in technology into the decision process. The application utilizes an open framework by using Web services that are components that communicate using text-based messages, thus eliminating proprietary protocols. This new framework provides an extensible, accessible, and interoperable approach for spatial decision support systems. An important input into the SDSS is digital elevation data where data are produced using different methods, and with different accuracies and resolutions. Six digital elevation models were compared with survey data to evaluate accuracies at different locations in the Walnut Gulch Experimental Watershed. The sensitivity of the SDSS was evaluated using six management systems that were ranked based on minimizing sediment yield. The sensitivity of the DEM, contributing source area value, and precipitation event size on management system rankings was evaluated. Results provide assistance for users in selecting these data and modeling values. This research illustrated that recent advances in information technology can be effectively utilized in watershed decision support technology. The Internet-based SDSS provides core functionality required for rangeland watershed management education and decision-making. In comparing digital elevation data of different sources and resolutions with survey data, the DEM data approximated surfaces well, with the higher resolution data producing lower root mean square error values. And finally, different digital elevation models, contributing source area values, and precipitation event sizes produced different management system rankings. (Abstract shortened by UMI.)
25
D'Alonzo, Valentina. "A Spatial Decision Support System for thermal energy planning at the regional scale." Doctoral thesis, Università degli studi di Trento, 2019. https://hdl.handle.net/11572/368160.
Full textAbstract:
The focus of the Ph.D. dissertation is on the thermal part of the energy planning issue since the space conditioning (heating and cooling – H&C) of buildings represents about 75% of the energy consumed by European residential buildings and only 16% of the heating and cooling consumption is covered by renewable energy sources (RES). At the same time, the increased complexity of the spatial planning process when energy issues are involved has made clear the need for new “energy-aware†tools and methods used in this field.
The proposed methodology is GIS (Geographical Information System)-based and performed at regional scale given that the movement of energy planning activities from national to regional and local scale allows a much more detailed analysis of both the energy demand and supply, balancing them more effectively. The integration of the spatial dimension within energy analyses can also provide the decision-makers with a spatially-explicit approach towards the energy transition and the development of sustainable energy plans and strategies. The general aim of the Ph.D. thesis is to develop a Spatial Decision Support System (SDSS) allowing the decision-makers to take into account (during the planning process) both the improvement of the energy production from RES and the energy renovation of the existing building stock. The SDSS aims also to connect the energy planning (supply side) with spatial planning (demand side) by seeking synergies between the two fields. This connection is made taking advantage of the framework of the Strategic Environmental Assessment (SEA).
The Ph.D. thesis is partially developed within a European co-financed project included in the Interreg Alpine Space programme. The GRETA project was designed to foster the use of shallow geothermal energy (SGE) in energy plans and strategies along the Alps. SGE is a low-carbon source for H&C of buildings, which exploits the heat stored within the ground, a local source widely available and less dependent from changes in time compared to other RES. Despite this, its exploitation is not yet diffused and its growth is limited mainly by factors such as scarce knowledge, complicated and fragmented legislation, and high installation costs. Considering all these issues, the research questions that shaped the Ph.D. activities are:
➢ How to estimate the thermal energy demand of the residential building stock at the regional scale, as a starting point for developing sustainable energy strategies aimed at the reduction of the thermal energy consumption in the existing buildings.
➢ How to integrate this appraisal in the energy planning of a region in order to elaborate different scenarios for the energy balance between thermal demand and supply, fostering the use of shallow geothermal energy (SGE) that is a renewable source still not well-known and not exploited.
➢ How to encourage the connection between energy planning and spatial planning towards the common goal of sustainable energy transition, helping to fill the gap between the development of plans and strategies and their implementation, thanks to the Strategic Environmental Assessment (SEA) framework.
The proposed methodology has been applied in a case study, i.e. Valle d’Aosta, an Italian alpine region. Almost all the data processing is performed with open-source software (GRASS GIS, QGIS, Python, and R) and applying a spatially-explicit approach, for pushing the integration of the spatial dimension in the energy analysis. The spatial units of analysis are the single building and the census tract. The single building has been chosen as the smallest unit available for ensuring a better characterization of the thermal energy demand and of the potential energy production from SGE. Moreover, the scenario analysis for the energy renovation of buildings is better performed at the building level; so, it is particularly suitable for developing an SDSS. Nevertheless, some data processing is done at the census tract level, using aggregated and statistical information to estimate the required values at the building level. The reason for this twofold scale of analysis is that the data availability often changes depending on time, space and data provider. For instance, for the case study area only little data was available at the building level for the whole region. Therefore, the methodology integrates data from different sources to fill this knowledge gap.
The methodology applied in the case study is divided into two parts:
1) The first one concerns the data collection and processing for the spatial estimation of the space heating demand of the existing building stock. At the end of it, the technical and economic suitability of SGE (performed within the GRETA project) for covering the energy demand of buildings and replacing some fossil fuels is evaluated.
2) The second one is carried out in the framework of SEA, by defining common objectives and developing scenarios for the integration of SGE in the energy planning process, as the short-term objective, and the coordination of energy and spatial planning goals, as the long-term objective. In the Ph.D. thesis, SEA is intended as a conceptual framework for integrating energy and spatial planning, rather than as an evaluation tool.
The main outputs of the Ph.D. thesis are: (i) the spatial evaluation of the space heating demand of each residential building of the case study, without using the “archetypes approach†; (ii) the development of a method for the integration of data from different sources and for its estimation if missing at the building level; (iii) the use of SEA as a framework for connecting energy planning and spatial planning fields, to support strategic decision-making processes. Even though the Ph.D. case study is a typical alpine region, (iv) the developed methodology can be applied at different scales and not only on alpine regions but potentially in every kind of context. Since it strongly depends on the availability of data, the replicability of the methodology is quite high.
The main expected impacts of these outputs are: (1) SDSS allows to reach a trade-off between the number of input data and the level of detail often required by decision-makers; (2) SDSS can support the decision-makers allowing them to analyse from various viewpoints different energy scenarios and also to localise where is better to address the energy measures; (3) the results at the building level represent a starting point for defining and developing strategies for the energy transition of settlements at different scales; (4) SEA used as a strategic tool for integrating energy and spatial planning, by coordinating strategic objectives, and linking the thesis outputs to the energy decision-making process.
26
D'Alonzo, Valentina. "A Spatial Decision Support System for thermal energy planning at the regional scale." Doctoral thesis, University of Trento, 2019. http://eprints-phd.biblio.unitn.it/3657/1/VDAlonzo_PhDthesis.pdf.
Full textAbstract:
The focus of the Ph.D. dissertation is on the thermal part of the energy planning issue since the space conditioning (heating and cooling – H&C) of buildings represents about 75% of the energy consumed by European residential buildings and only 16% of the heating and cooling consumption is covered by renewable energy sources (RES). At the same time, the increased complexity of the spatial planning process when energy issues are involved has made clear the need for new “energy-aware” tools and methods used in this field.
The proposed methodology is GIS (Geographical Information System)-based and performed at regional scale given that the movement of energy planning activities from national to regional and local scale allows a much more detailed analysis of both the energy demand and supply, balancing them more effectively. The integration of the spatial dimension within energy analyses can also provide the decision-makers with a spatially-explicit approach towards the energy transition and the development of sustainable energy plans and strategies. The general aim of the Ph.D. thesis is to develop a Spatial Decision Support System (SDSS) allowing the decision-makers to take into account (during the planning process) both the improvement of the energy production from RES and the energy renovation of the existing building stock. The SDSS aims also to connect the energy planning (supply side) with spatial planning (demand side) by seeking synergies between the two fields. This connection is made taking advantage of the framework of the Strategic Environmental Assessment (SEA).
The Ph.D. thesis is partially developed within a European co-financed project included in the Interreg Alpine Space programme. The GRETA project was designed to foster the use of shallow geothermal energy (SGE) in energy plans and strategies along the Alps. SGE is a low-carbon source for H&C of buildings, which exploits the heat stored within the ground, a local source widely available and less dependent from changes in time compared to other RES. Despite this, its exploitation is not yet diffused and its growth is limited mainly by factors such as scarce knowledge, complicated and fragmented legislation, and high installation costs. Considering all these issues, the research questions that shaped the Ph.D. activities are:
➢ How to estimate the thermal energy demand of the residential building stock at the regional scale, as a starting point for developing sustainable energy strategies aimed at the reduction of the thermal energy consumption in the existing buildings.
➢ How to integrate this appraisal in the energy planning of a region in order to elaborate different scenarios for the energy balance between thermal demand and supply, fostering the use of shallow geothermal energy (SGE) that is a renewable source still not well-known and not exploited.
➢ How to encourage the connection between energy planning and spatial planning towards the common goal of sustainable energy transition, helping to fill the gap between the development of plans and strategies and their implementation, thanks to the Strategic Environmental Assessment (SEA) framework.
The proposed methodology has been applied in a case study, i.e. Valle d’Aosta, an Italian alpine region. Almost all the data processing is performed with open-source software (GRASS GIS, QGIS, Python, and R) and applying a spatially-explicit approach, for pushing the integration of the spatial dimension in the energy analysis. The spatial units of analysis are the single building and the census tract. The single building has been chosen as the smallest unit available for ensuring a better characterization of the thermal energy demand and of the potential energy production from SGE. Moreover, the scenario analysis for the energy renovation of buildings is better performed at the building level; so, it is particularly suitable for developing an SDSS. Nevertheless, some data processing is done at the census tract level, using aggregated and statistical information to estimate the required values at the building level. The reason for this twofold scale of analysis is that the data availability often changes depending on time, space and data provider. For instance, for the case study area only little data was available at the building level for the whole region. Therefore, the methodology integrates data from different sources to fill this knowledge gap.
The methodology applied in the case study is divided into two parts:
1) The first one concerns the data collection and processing for the spatial estimation of the space heating demand of the existing building stock. At the end of it, the technical and economic suitability of SGE (performed within the GRETA project) for covering the energy demand of buildings and replacing some fossil fuels is evaluated.
2) The second one is carried out in the framework of SEA, by defining common objectives and developing scenarios for the integration of SGE in the energy planning process, as the short-term objective, and the coordination of energy and spatial planning goals, as the long-term objective. In the Ph.D. thesis, SEA is intended as a conceptual framework for integrating energy and spatial planning, rather than as an evaluation tool.
The main outputs of the Ph.D. thesis are: (i) the spatial evaluation of the space heating demand of each residential building of the case study, without using the “archetypes approach”; (ii) the development of a method for the integration of data from different sources and for its estimation if missing at the building level; (iii) the use of SEA as a framework for connecting energy planning and spatial planning fields, to support strategic decision-making processes. Even though the Ph.D. case study is a typical alpine region, (iv) the developed methodology can be applied at different scales and not only on alpine regions but potentially in every kind of context. Since it strongly depends on the availability of data, the replicability of the methodology is quite high.
The main expected impacts of these outputs are: (1) SDSS allows to reach a trade-off between the number of input data and the level of detail often required by decision-makers; (2) SDSS can support the decision-makers allowing them to analyse from various viewpoints different energy scenarios and also to localise where is better to address the energy measures; (3) the results at the building level represent a starting point for defining and developing strategies for the energy transition of settlements at different scales; (4) SEA used as a strategic tool for integrating energy and spatial planning, by coordinating strategic objectives, and linking the thesis outputs to the energy decision-making process.
27
Duan, Yanxin. "A Spatial Decision Support System for Economic Analysis of Sediment Control on Rangeland Watersheds." Diss., Tucson, Arizona : University of Arizona, 2005. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1306%5F1%5Fm.pdf&type=application/pdf.
Full text
28
Kenney, David Peter. "Developing a spatial decision support system for timber sale planning on a national forest." Thesis, This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-12302008-063659/.
Full text
29
Baybas, Gizem. "Spatial Decision Support System For Archaeological Application: A Case Study For Kaunos Archaeological Site." Master's thesis, METU, 2013. http://etd.lib.metu.edu.tr/upload/12615648/index.pdf.
Full textAbstract:
Geographically located materials are used by the archaeology to analyze and explain the socio-cultural aspects of ancient life. Thus, Geographical Information Systems (GIS) have started to be used in archaeology for many applications. Although, cooperation of GIS and archaeology is considered as beneficial, it has become insufficient to meet the requirements of archaeologists about excavation study. Therefore, the aim of this thesis is to develop Spatial Decision Support System (SDSS) which includes both the GIS tools and analyses andanalytical modeling capabilities in order to satisfy the needs of archaeologists. Moreover, to develop a specialized system for specific archaeological excavation site is aimed. In this study, Kaunos is selected as a case study area and in order to furnish this aim, firstly, needs of archaeologists working in the excavation study of Kaunos are analyzed. Secondly, GIS tools and analyses are determined which meet the requirements of archaeologists. Finally, SDSS for Kaunos Archaeological Excavation Site is developed. It is composed of four components namely
Database Management, Model Management, Dialog Management and Stakeholder Components. Analyses are conducted under the Model Management Component and results are visualized in Dialog Management Component. Result maps help and assist archaeologists in terms of interpreting and examining the socio-cultural, economical and demographical characteristics of Kaunos.
30
Arnette, Andrew Nicholas. "A Spatial Decision Support System for the Development of Multi-Source Renewable Energy Systems." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/28159.
Full textAbstract:
This research involves the development of a comprehensive decision support system for energy planning through the increased use of renewable energy sources, while still considering the role of existing electricity generating facilities. This dissertation focuses on energy planning at the regional level, with the Greater Southern Appalachian Mountain region chosen for analysis due to the dependence on coal as the largest source of generation and the availability of wind and solar resources within the region.
The first stage of this planning utilizes a geographic information system (GIS) for the discovery of renewable energy sources. This GIS model analyzes not just the availability of wind and solar power based on resource strength, but also considers the geographic, topographic, regulatory, and other constraints that limit the use of these resources. The model determines potential wind and solar sites within the region based on these input constraints, and finally the model calculates the cost and generation characteristics for each site.
The results of the GIS model are then input into the second section of the model framework which utilizes a multi-objective linear programming (MOLP) model to determine the optimal mix of new renewable energy sources and existing fossil fuel facilities. In addition to the potential wind and solar resources discovered in the GIS, the MOLP model considers the implementation of solid wood waste biomass for co-fire at coal plants. The model consists of two competing objectives, the minimization of annual generation cost and the minimization of annual greenhouse gas emissions, subject to constraints on electricity demand and capital investment, amongst others. The model uses the MiniMax function in order to find solutions that consider both of the objective functions.
The third major section of this dissertation analyzes three potential public policies â renewable portfolio standard, carbon tax, and renewable energy production tax credit - that have been used to foster increased renewable energy usage. These policies require minor modifications to the MOLP model for implementation. The results of these policy cases are then analyzed to determine the impact that these policies have on generation cost and pollution emissions within the region.Ph. D.
31
Minde, Julie M. "Building a framework for a spatial decision support system for co-locating public facilities." Fairfax, VA : George Mason University, 2008. http://hdl.handle.net/1920/3402.
Full textAbstract:
Thesis (M.S.)--George Mason University, 2008.Vita: p. 111. Thesis director: Zolnik, Edmund. Submitted in partial fulfillment of the requirements for the degree of Master of Science in Geographic and Cartographic Sciences. Title from PDF t.p. (viewed Mar. 17, 2009). Includes bibliographical references (p. 105-110). Also issued in print.
32
Silva, Frederica Nishakumari de. "CEMPS - spatial decision support system for evacuation planning : an operational research - geographical information systems approach." Thesis, Lancaster University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242839.
Full text
33
Cathcart, Steven C. "A Group-based Spatial Decision Support System for Wind Farm Site Selection in Northwest Ohio." Bowling Green State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1320431690.
Full text
34
Palem, Srikanth Venkata. "Design and implementation of an Internet based Spatial Decision Support System(SDSS) for Freight Management." See Full Text at OhioLINK ETD Center (Requires Adobe Acrobat Reader for viewing), 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=toledo1091799341.
Full textAbstract:
Thesis (M.A.)--University of Toledo.Typescript. "A thesis [submitted] as partial fulfillment of the requirements of the Master of Arts degree in Geography." Includes bibliographical references (leaves 94-99).
35
Zambelli, Pietro. "A spatial decision support system to assess personal exposure to air pollution integrating sensor measurements." Doctoral thesis, Università degli studi di Trento, 2015. https://hdl.handle.net/11572/367979.
Full textAbstract:
Recent epidemiological studies have reinforced the link between short and long-term exposure to air pollutants and adverse effects on public health especially over the weaker part of the population, like children and older adults. The creation of simple tools to locate sensible areas as well as of dedicated Spatial Decision Support System (SDSS) to improve the management of pollution risk areas system is strongly advised. The aim of this work is to develop a SDSS methodology, based on easy to find data and usable by decision makers, to assess and reduce the impact of air pollutants in a urban context. To achieve this goals I tested the exploitability of a set of low-cost sensors for outdoor air quality monitoring, I characterized the urban micro-environments and the spatial variability of air pollutants using remote sensing compared to field data and eventually I developed a SDSS to improve the public health designing and comparing different scenarios. The city centre of Edinburgh has been used as study case for the purposed methodology. To test the reliability and applicability of low cost sensors as proxies for remote sensed data, we conducted a measurements campaign to compare the observed data between an official measurements station (OMS) in Trento (Italy) and electrochemical and thick film sensors respectively of Carbon Monoxide (CO) and Ozone ($O_3$). Due to data quality and availability we decided to characterize the urban micro-environments of Edinburgh (Scotland, UK) in eight main classes (water, grass, vegetation, road, car, bus, buildings and shadow) combining the Geographic Object-Based Image Analysis (GEOBIA) with Machine Learning algorithms to process the high resolution (0.25m x 0.25m) RGB aerial ortho-rectified images. This land-use characterization combined with other geographical informations, like the classification of the roads and the urban morphology, were compared with 37 Nitrogen Dioxide (NO2) concentration data, collected using passive tubes during a six week campaign of measurements conducted by the school of Chemistry of the University of Edinburgh.
I developed a new open-source GIS python library (PyGRASS), integrated in the stable release of GRASS GIS, to speed-up the prototyping phase and to create and test new GIS tools and methodologies. Different studies on SDSS were carried out to implement procedures and models. Based on these models and data all the factors (land-use, roads and geo-morphological features) were ranked to identify which are driving forces for urban air quality and to help decision makers to develop new policies. The sensor tested in Trento revealed an evident drift in measurement residues for CO, furthermore the measurements were also quite sensitive to external factors such as temperature and humidity. Since these sensors required frequent recalibration in order to obtain reliable results, their use was not as low-cost as expected. The characterization of urban land-use in Edinburgh with GEOBIA and machine learning provided an overall accuracy of 93.71\% with a Cohen's k of 0.916 using a train/test dataset of 9301 objects. The $NO_2$ data confirm the assumption that air concentration is strongly dependent on geographical position and it is strongly influenced by the position of the pollutant's source. Using the results of the tests and remote sensing analysis, I developed an SDSS. Starting from the current situation, I designed three scenarios to assess the effect that different policies and actions could have on improving air quality at on the local and district level. The outcomes of this work can be used to define and compare different scenarios and develop effective policies to reduce the impact of air pollutants in an urban context using simple and easy to find data. The GIS-based tool can help to identify critical areas before deploying sensors and splitting the study area in homogeneous micro-environments clusters. The model is easy to expand following different procedures.
36
Zambelli, Pietro. "A spatial decision support system to assess personal exposure to air pollution integrating sensor measurements." Doctoral thesis, University of Trento, 2015. http://eprints-phd.biblio.unitn.it/1490/1/Pietro_Zambelli__Thesis__2015-05-04.pdf.
Full textAbstract:
Recent epidemiological studies have reinforced the link between short and long-term exposure to air pollutants and adverse effects on public health especially over the weaker part of the population, like children and older adults. The creation of simple tools to locate sensible areas as well as of dedicated Spatial Decision Support System (SDSS) to improve the management of pollution risk areas system is strongly advised. The aim of this work is to develop a SDSS methodology, based on easy to find data and usable by decision makers, to assess and reduce the impact of air pollutants in a urban context. To achieve this goals I tested the exploitability of a set of low-cost sensors for outdoor air quality monitoring, I characterized the urban micro-environments and the spatial variability of air pollutants using remote sensing compared to field data and eventually I developed a SDSS to improve the public health designing and comparing different scenarios. The city centre of Edinburgh has been used as study case for the purposed methodology. To test the reliability and applicability of low cost sensors as proxies for remote sensed data, we conducted a measurements campaign to compare the observed data between an official measurements station (OMS) in Trento (Italy) and electrochemical and thick film sensors respectively of Carbon Monoxide (CO) and Ozone ($O_3$). Due to data quality and availability we decided to characterize the urban micro-environments of Edinburgh (Scotland, UK) in eight main classes (water, grass, vegetation, road, car, bus, buildings and shadow) combining the Geographic Object-Based Image Analysis (GEOBIA) with Machine Learning algorithms to process the high resolution (0.25m x 0.25m) RGB aerial ortho-rectified images. This land-use characterization combined with other geographical informations, like the classification of the roads and the urban morphology, were compared with 37 Nitrogen Dioxide (NO2) concentration data, collected using passive tubes during a six week campaign of measurements conducted by the school of Chemistry of the University of Edinburgh.
I developed a new open-source GIS python library (PyGRASS), integrated in the stable release of GRASS GIS, to speed-up the prototyping phase and to create and test new GIS tools and methodologies. Different studies on SDSS were carried out to implement procedures and models. Based on these models and data all the factors (land-use, roads and geo-morphological features) were ranked to identify which are driving forces for urban air quality and to help decision makers to develop new policies. The sensor tested in Trento revealed an evident drift in measurement residues for CO, furthermore the measurements were also quite sensitive to external factors such as temperature and humidity. Since these sensors required frequent recalibration in order to obtain reliable results, their use was not as low-cost as expected. The characterization of urban land-use in Edinburgh with GEOBIA and machine learning provided an overall accuracy of 93.71\% with a Cohen's k of 0.916 using a train/test dataset of 9301 objects. The $NO_2$ data confirm the assumption that air concentration is strongly dependent on geographical position and it is strongly influenced by the position of the pollutant's source. Using the results of the tests and remote sensing analysis, I developed an SDSS. Starting from the current situation, I designed three scenarios to assess the effect that different policies and actions could have on improving air quality at on the local and district level. The outcomes of this work can be used to define and compare different scenarios and develop effective policies to reduce the impact of air pollutants in an urban context using simple and easy to find data. The GIS-based tool can help to identify critical areas before deploying sensors and splitting the study area in homogeneous micro-environments clusters. The model is easy to expand following different procedures.
37
Ercan, Ismail. "A Fuzzy Based Decision Support System For Locational Suitability Of Settlements." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/2/12607017/index.pdf.
Full textAbstract:
Spatial Decision Making as a branch of decision making science deals
with geographically related data in order to achieve complex spatial decision
problems. Fuzzy set theory is one of the methods that can be used to come
up with these types of problems. On the other hand, Geographical
Information Systems (GIS) is one of the most powerful tools that we can use
to accomplish spatial decision problems. Selection of the suitable site or
land-use for the real estate is also a spatial decision making problem. When
we consider the initial dynamics of the suitably located property from the
point of view of value and potential we observe that the &ldquogood location&rdquo
is the dominating factor. This study reports on the development of a kind of decision support system for locational suitability of settlements that integrates the fuzzy set (FZ) theory, a rule-based system (RBS) and GIS. This study is thought as the assistant for the property managers that are buyers and sellers. It can function as the property consultant for the buyers when they are looking for a property to buy and also it helps the real estate agencies to sell their properties. On the other hand, different scenarios of the potential areas according to the different user&rsquo
s preferences are depicted and they are joined and compared with the results of the vulnerability to earthquake hazards&rsquo
of the same area. Odunpazari - Eskisehir area is selected for implementation of the case study because of the data availability. As a result of this study, it can be said that most suitable property changes depending on the people&rsquo
s preferences. In addition, it is seen that most of the buildings that are locationally suitable are highly vulnerable to the earthquake hazards.
38
Pizzol, Lisa <1978>. "Spatial and regional risk assessment in decision support systems for environmental risk management." Doctoral thesis, Università Ca' Foscari Venezia, 2010. http://hdl.handle.net/10579/1001.
Full textAbstract:
Environmental risks are traditionally assessed and presented in non spatial ways although the spatial relations between the risk assessment components and the spatial distribution of the risk assessment variables strongly influence exposure estimations and hence risks. According to the scale of the problem, two different spatial risk assessments approaches can be identified: site-specific spatial risk assessment and regional risk assessment. In the present Ph.D. thesis the first approach applies geostatistic interpolation methods for mapping the distribution of contaminants concentration in order to support the risk-based zoning of the site. It was implemented in DESYRE (DEcision Support sYstem for the REqualification of contaminated sites) and applied to the Porto Marghera case study. At regional scale, an innovative methodology integrating a relative risk approach and spatial analysis was developed to select sites at regional scale where a preliminary soil investigation is required first. It was implemented in SYRIADE (Spatial decision support sYstem for Regional rIsk Assessment of DEgraded land) and applied to the Upper Silesia case-study.Tradizionalmente nella valutazione dei rischi per l’uomo e per l’ambiente, le relazioni spaziali tra le componenti dell’analisi di rischio e la distribuzione spaziale delle variabili coinvolte non vengono adeguatamente considerate, sebbene esse influiscono sulla valutazione dell’esposizione e quindi del rischio. In base alla scala di analisi, si possono identificare due approcci di analisi di rischio (AR): l’AR spaziale sito-specifica e l’AR regionale. Nella presente tesi di dottorato è stata sviluppata una procedura di AR spaziale sito-specifica che utilizza metodi di interpolazione spaziale per ottenere delle mappe di distribuzione della contaminazione al fine di supportare la zonizzazione del sito sulla base dei livelli di rischio. A scala regionale è stata sviluppata una metodologia innovativa che integra un approccio di AR relativo con analisi spaziali, per selezionare i siti dove le attività di caratterizzazione sono urgentemente richieste. Le due metodologie sono state implementate rispettivamente in DESYRE (DEcision Support sYstem for the REqualification of contaminated sites) e in SYRIADE (Spatial decision support sYstem for Regional rIsk Assessment of DEgraded land) e applicate al sito di Porto Marghera e alla regione dell’Upper Silesia.
39
Witiuk, Sidney Wayne. "A spatial decision support system for autodistricting collection units for the taking of the Canadian Census." Thesis, University of Edinburgh, 1990. http://hdl.handle.net/1842/26058.
Full text
40
DAPUETO, GIULIA. "Environmental Spatial Decision Support System (ESDSS) per la gestione dei servizi ecosistemici nelle aree marino-costiere." Doctoral thesis, Università degli studi di Genova, 2019. http://hdl.handle.net/11567/944822.
Full textAbstract:
Gli ecosistemi costieri e marini sono tra gli ecosistemi più produttivi al mondo, in termini di biomassa e ricchezza specifica, e i loro stock di capitale naturale forniscono un insieme di servizi ecosistemici essenziali per la vita dell’uomo. Inoltre favoriscono lo sviluppo di altri servizi ecosistemici che offrono opportunità per il tempo libero, la contemplazione e l'attività fisica. Nel contesto della conservazione e dello sviluppo sostenibile della zona costiera, il turismo e la ricreazione sono fattori chiave e, pertanto, sono temi urgenti nel campo della gestione delle coste. Luoghi di particolare interesse sono le aree marine protette. Il loro fascino e la maggiore coscienza della natura da parte dell'opinione pubblica contribuiscono a incrementare il turismo in suddette aree.
Le aree marine protette sono sistemi molto complessi istituiti per proteggere l’ambiente marino, ovvero il capitale naturale, e la sua biodiversità. Al tempo stesso sostengono lo sviluppo socio-economico delle comunità locali, basato sui servizi ecosistemici, in un’ottica di sostenibilità ambientale. È necessario, quindi, uno spostamento verso una gestione più completa, integrata, con enfasi sugli approcci basati sugli ecosistemi e una valutazione degli impatti cumulativi che vengono esercitati sugli ecosistemi stessi. L’adozione di misure di protezione di queste aree di elevato pregio ambientale favorisce la conservazione degli stock di capitale naturale e la generazione di numerosi servizi ecosistemici.
L’obiettivo del presente lavoro è fornire uno strumento decisionale utile ad attuare una gestione sostenibile delle aree marino-costiere integrando aspetti ambientali, economici e sociali. È stato sviluppato un Environmental Spatial Decision Support System per la gestione dei servizi ecosistemici delle aree marino-costiere e in particolar modo delle aree marine protette, partendo dalla valorizzazione del capitale naturale. È un sistema interattivo che combina strumenti e funzionalità di analisi, suddividendo il lavoro in moduli separati e riadattabili in base alle necessità, e offre l'opportunità di visualizzare e presentare ai decisori i risultati come scenari alternativi di gestione, anche sotto forma di mappe. Le mappe consentono sia agli esperti che ai gestori dell’AMP di individuare e caratterizzare le singole aree in funzione del loro valore ecologico, dell’offerta di servizi ecosistemici, della pressione e degli impatti originati dall’uomo, soprattutto in relazione alle sinergie e ai trade-off tra i diversi servizi. Si possono così stabilire eventuali interventi da fare, predisponendo azioni di protezione e variando la fruizione delle aree.
Il lavoro si inserisce all’interno del Progetto nazionale MATTM “Contabilità Ambientale nelle Aree Marine Protette italiane” e sviluppa ulteriori moduli in continuità con tale progetto. Per mettere a punto il sistema si è scelto di esaminare il caso dell’area marina protetta ligure di Portofino, realtà coinvolta nel progetto.
41
Blinn, Christopher Michael. "Creation of a Spatial Decision Support System as a Risk Assessment Tool Based on Kentucky Tornado Climatology." TopSCHOLAR®, 2012. http://digitalcommons.wku.edu/theses/1153.
Full textAbstract:
Tornadoes are one of Mother Nature’s deadliest phenomena. They affect a large region of the United States. The risk of tornadoes is contingent on dynamic atmospheric conditions that are most likely during spring but which can occur anytime of the year, making the storms challenging to forecast. Using geographical information systems (GIS), a web-based spatial decision support system (SDSS) was created to help understand the spatial dimension of tornado risk assessment. The risk values are calculated using Tornado Days rather than taking a crude density measurement. The SDSS hosts GIS web services that are displayed on an Adobe Flex application. The web application allows users to view, research, query and extract information from the attributes of the GIS files. There is also a dynamic risk tool which gives users the ability to click anywhere inside the study area and get the percentage of risk that a tornado will occur within 25 miles of that very point. The web application eliminates users and viewers from conducting their own research and GIS work. In addition, automated updating models and macros were created to update the tornado database on an annual basis.
42
Dumas, Jeremiah Percy. "A spatial decision support system utilizing data from the Gap Analysis Program and a Bayesian Belief Network." Master's thesis, Mississippi State : Mississippi State University, 2005. http://library.msstate.edu/etd/show.asp?etd=etd-07072005-104946.
Full text
43
Mlisa, Andiswa. "Spatial decision support system for hydrogeological studies in Table Mountain Group Aquifers, Western Cape Province, South Africa." Thesis, Stellenbosch : University of Stellenbosch, 2007. http://hdl.handle.net/10019.1/2473.
Full textAbstract:
Thesis (MA (Geography and Environmental Studies))--University of Stellenbosch, 2007.The Western Cape province of South Africa is a water scarce area with a Mediterranean climate. The majority of rainfall occurs in the cold winter months and the area experiences hot and dry summers. Studies done to investigate various water supply and water demand management options for the City of Cape Town, concluded that the Table Mountain Group (TMG) aquifer has the potential of yielding high volumes (estimated at 70Mm3/a) of good quality water, but that further research about this source as a potential augmentation supply to the City of Cape Town was necessary before extraction could commence. The aim of the study is to develop a spatial decision support system (SDSS) to be used by a hydrogeology project team, which includes hydrogeologists, environmentalists, ecologists, engineers and other stakeholders. The Table Mountain Group Aquifer (TMGA) SDSS is meant to be a decision support tool, but should also raise awareness about the use of spatial data and information and its capabilities for earth science and other multidisciplinary applications. By means of team discussions and interviews data, spatial analysis and data manipulation requirements were determined. Based on these requirements, four spatial analysis tools were developed. The spatial tool named “Borehole Analysis” analyses stratigraphic information obtained from existing boreholes and hydrogeological point data. The tool determines what groundwater use and monitoring has been undertaken in the area of interest. The “Topographic Analysis” tool identifies any topographical (e.g. rivers) and cadastral (e.g. farm boundaries) data within a certain distance from a possible borehole site. The “Sensitive Area Analysis” tool addresses queries with respect to sensitive areas, such as wetlands, statutory protected areas and private nature reserves. The “Image Classification” tool gives the team members an opportunity to use band ratios during image interpretation. The TMGA SDSS was developed using TNTmips v70, Extensible Markup Language (XML) and Spatial Manipulation Language (SML) and can be run on TNTAtlas v70, which is a free software. The TMGA SDSS enables the team members to have equal and ready access to data acquired by other members. This was found to support intra- and interdisciplinary conversation and facilitate understanding of how the data is being (or could be) used. It also contributes to levels of confidence in decision-making and supports a holistic approach to project design and implementation. Keywords: decision-making, geographic information system (GIS), spatial decision support systems (SDSS), spatial manipulation language (SML)
44
TORABI, MOGHADAM SARA. "A New Integrated Multi-Criteria Spatial Decision Support System for urban energy planning in the built environment." Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2706337.
Full textAbstract:
Sustainability contests represent a fundamental challenge to traditional urban development practices and concepts. Reducing energy consumption and greenhouse gas emissions from urban infrastructure and building stock, towards low-carbon cities requires a supportive planning process. In this regard, the use of appropriate tools and methods for addressing complex interactions of Urban Energy Planning (UEP) processes is needed. In particular, the problem of building stock energy consumption in the urban environment is crucial. A major aim of this research is to model energy consumption patterns based on bottom-up statistical-engineering combination methods. These methods evaluate the current status of energy consumption and different future energy saving scenarios to promote sustainable urban planning. However, the choice among urban energy planning scenarios is extensively based on multi-actors and multi-criteria aspects. Therefore, to anchor such a sustainable urban planning, a wider societal consensus building with an earnest and active engagement of relevant stakeholders in the city is essential. For this purpose, stakeholder-oriented approach plays a key role in implementing the effective strategies for urban and regional adaptation. The research, therefore, is also dealing with the integration of participative decisional processes of urban energy planning by organizing different focus groups involving real stakeholders. This fact can help to assess, over a short/long term period, the mix of measures by analyzing meaningful scenarios focused on energy consumptions, environmental impacts, economic and social aspects. The result is the development of a new Multi-Criteria Spatial Decision Support System (MC-SDSS), which is an interactive energetic plug-in in GIS environment using CommunityViz. This tool has been applied to a demonstrator case-study, related to a medium-sized city of the metropolitan area of Turin. However, the methodology used for delivering the tool can be applied to other contexts due to its flexibility. The new MC-SDSS is intended to facilitate the decisional process for stakeholders who can ask “what-if” questions and visualize “if-then” scenarios in a real-time. Moreover, it can explore a range of possible futures for assisting urban planners, policymakers and built environment stakeholders in their efforts to plan, design and manage low-carbon cities. This thesis is part of a national Smart City & Communities project, named “EEB-Zero Energy Buildings in Smart Urban Districts” (www.smartcommunitiestech.it).
45
Gunay, Serkan. "Spatial Information System For Conservation Ofhistoric Buildings Case Study: Doganlar Church Izmir." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608388/index.pdf.
Full textAbstract:
Conservation of historic buildings requires comprehensive and correct information of buildings to be analyzed in conservation decision making process in a systematic and rational approach. Geographical Information Systems (GIS) are advantageous in such cases which can be defined as computer based systems for handling geographical and spatial data. GIS have the potential to support the conservation decision making process with their storing, analyzing and monitoring capabilities. Therefore, information systems like GIS can be seen as a potential significant instrument for dealing with the conservation projects.
This thesis aims to analyze the transformation process of the data collected in conservation process into practical information in order to adapt this process to a spatial information system.
In this context, use of Geographical Information Systems is tested in the process of historic building conservation on spatial information system designed for Doganlar Church izmir chosen as the case study. Hence the advantages and disadvantages of local information systems in conservation decision making process of historic buildings can be criticized.
46
Tims, Willem. "GIS model for the Land Use and Development Master Plan in Rwanda." Thesis, University of Gävle, Ämnesavdelningen för samhällsbyggnad, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-4975.
Full textAbstract:
This thesis was aimed at the development of a Geographical Information System (GIS) based model to support the Rwanda Land Use and Development Master Plan. Developing sustainable land management is the main task of this master plan. Stakeholder’s involvement was of key importance. Their demands should be analysed and visualised to support discussions and the decision-making process. Spatial Multicriteria Decision Analysis (MCDA) is a proven method for land-use planning purposes. However, most land-use planning applications focus on a specific theme, such as urban development. In addition, land-use planning is often limited to a relatively small area. This thesis focused at the development of a countrywide GIS model, containing all land-uses accommodated in three main land-use categories: urban, agriculture and conservation. The GIS model was largely based on the Land-Use Conflict Identification Strategy (LUCIS) model. Many of the goals, objectives, and subobjectives that described the earlier mentioned land-use categories were adopted from the original model. However, a significant number of them were dropped, and new were created to suit the Rwandan situation. Stakeholder’s involvement was realized by assigning weights to the goals and preference maps. The Analytical Hierarchy Process (AHP) was used as weighting method. ESRI’s ArcGIS ModelBuilder was used to give the model shape in the GIS. Firstly, suitability maps were created of all elements in the model. The suitability maps were then transformed into preference maps by weighting them. In the next step the preference maps were collapsed in three classes: low, medium and high preference. Finally, the preference maps of the three land-use categories were combined, in order to visualize conflict areas. Ortho photos proved to be useful when acting as reference for the suitability and preference maps. Despite a large number of missing datasets, the GIS model was executed to simplify the understanding. However, many of the obtained results were unreliable because of the incompleteness of datasets, and can therefore not be used for decision-making. Unfortunately, due to the stage of the project it was not possible to obtain weights from the stakeholders, and should therefore be done when the time is right. Right Choice DSS, a very user-friendly decision support application, was proposed to use for calculating weights. To conclude, the developed GIS model integrated countrywide land-use suitability mapping and stakeholders’ wishes that can be used for discussions and decision making.
47
Feick, Robert David. "A multi-participant spatial decision support system for planning tourism-related land use change in small island states." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/NQ51195.pdf.
Full text
48
Sinske, Stefan (Stefan Andreas). "A spatial decision support system for pipe break susceptibility analysis and impact assessment of municipal water distribution systems." Thesis, Stellenbosch : Stellenbosch University, 2002. http://hdl.handle.net/10019.1/52697.
Full textAbstract:
Dissertation (PhD)--Stellenbosch University, 2002.ENGLISH ABSTRACT: Municipal water distribution maintenance is very important for sustainable urban development. Water pipe breaks result not only in a disruption in service but also in significant loss of water, which otherwise could have been sold to the consumer. In countries where water is scarce, such as South Africa, water losses can be detrimental to the living standard of people. Water pipe breaks can furthermore cause extensive damage to nearby lower-lying properties. Existing decision support systems available in the field of water distribution system maintenance are mainly focused on leak detection and pipe rehabilitation/replacement strategy. These existing systems, however, do not address the actual causes of pipe breaks and pipe break impact is also not supported. The aim of this research is to develop a spatial decision support system (SDSS) for pipe break susceptibility analysis and impact assessment. The engineer (or public works administrator) can apply the SDSS to model the complex pipe break phenomena in the municipal water distribution system. The SDSS can identify pipes susceptible to breaking and pipes with potentially high break impact as far as water loss and damage caused to nearby property are concerned. This combined pipe break susceptibility analysis and potential impact assessment should promote more informed decision-making on preventative maintenance measures to be taken and their prioritisation. The dissertation consists offive parts. In the first part (Chapters 1-4) theories on information systems, fuzzy logic, object-oriented modelling, Unified Modelling Language (UML) and pipe break causes are presented. This literature review provides a basis on which the SDSS for pipe break susceptibility analysis and impact assessment can be developed. In the second part (Chapter 5) the general user requirements and design of the SDSS are given. The general SDSS architecture, the general system functionality and the user interface are described and designed in this part of the dissertation. The third part (Chapter 6) provides the detailed user requirements and design of the subsystems of the SDSS. Specialised functionality for pipe break susceptibility analysis and impact assessment is added to the general design of the SDSS. Subsystems are designed for analysing the pipe break susceptibility due to age, air-pocket formation and tree-root attack. Pipe break impact assessment subsystems are also designed for assessing water loss and potential damage caused to nearby property. Finally, a combined analysis subsystem is designed for combined pipe break susceptibility analysis and impact assessment. In the fourth part (Chapter 7), the SDSS is applied to the water distribution system of the Paarl Municipality to identify pipes in the network that have both high break susceptibility and also high break impact. The pipe break susceptibility analysis model of the SDSS is also tested and calibrated by comparing the model results with actual pipe break occurrence data of the study area. The final chapter (Chapter 8) contains the summary and recommendations regarding the functionality of the newly developed SDSS.
AFRIKAANSE OPSOMMING: Die instandhouding van munisipale waterverspreidingstelsels is uiters belangrik vir volhoubare stedelike ontwikkeling. Waterpypbreuke lei nie alleenlik tot onderbreking in diensverskaffing nie, maar ook tot beduidende waterverlies en verlies aan inkomste uit waterverkope. In lande waar water skaars is, soos in Suid-Afrika, kan waterverliese die lewenstandaard van die bevolking nadelig beïnvloed. Waterpypbreuke kan ook groot skade aan naby-geleë laag-liggende eiendomme aanrig. Besluitnemingstelsels tans beskikbaar op die gebied van instandhouding van waterverspreidingstelsels is hoofsaaklik gerig op lekkasie-opsporing en pyprehabilitasie- en pypvervangingstrategieë. Hierdie bestaande stelsels spreek egter nie die eintlike oorsake van pypbreuke aan nie, daar word ook nie op die impak van pypbreuke ingegaan nie. Die doelwit van hierdie navorsing is om 'n ruimtelike besluitnemingstelsel (RBS) - vir pypbreuk-risiko-analise en impakberaming te ontwikkel. Die ingenieur (of stelselbestuurder) kan met behulp van die RBS die komplekse pypbreukverskynsel in 'n munisipale waterverspreidingstelsel modelleer. Die RBS kan pype met hoë breek-potensiaal identifiseer asook pype wat, indien dit breek, groot waterverlies of skade aan naby-geleë eiendomme sal veroorsaak. Hierdie gekombineerde pypbreuk-risiko-analise en impakberaming behoort meer oordeelkundige besluitneming te bevorder deur beter prioritisering van voorkomende instandhoudingsmaatreëls en die uitvoering daarvan. Die proefskrif bestaan uit vyf dele. In die eerste deel (Hoofstukke 1-4) word die teorieë oor inligtingstelsels, 'fuzzy logic', objek-georiënteerde modellering, 'unified modelling language (UML)' en die oorsake van pypbreuke behandel. Hierdie literatuurstudie skep die basis waaruit die RBS vir pypbreukrisikobepaling en impakberaming ontwikkel sal word. In die tweede deel (Hoofstuk 5) word die algemene gebruikersbehoeftes en die ontwerp van die RBS uiteengesit. Die algemene RBS struktuur en die gebruikerskoppelvlak word in hierdie deel van die proefskrif beskryf en ontwerp. In die derde deel (Hoofstuk 6) word die gedetailleerde gebruikersbehoeftes en die ontwerp van die substelsels van die RBS uiteengesit. Gespesialiseerde funksionaliteit vir pypbreuk-risikobepaling en impakberaming is tot die algemene ontwerp van die RBS bygevoeg. Substelsels is ontwerp vir die ontleding van pypbreuk-risiko as gevolg van ouderdom, lugblaas-vorming en boomwortelaanval. Substelsels vir impakberaming is ook ontwerp om waterverlies en potensiële skade aan eiendomme vas te stel. Ten slotte word 'n gekombineerde ontledingsubstelsel vir gekombineerde pypbreuk-risikobepaling en impakberaming opgestel. In die vierde deel (Hoofstuk 7) word die RBS toegepas op die waterverspreidingstelsel van die Paarlse munisipaliteit om pype uit te ken wat beide 'n hoë breuk-risiko en 'n hoë breuk-impak bevat. Die pypbreuk-analise model van die RBS is ook getoets en gekalibreer deur die resultate van die model te vergelyk met data van werklike pypbreuke in die studiegebied. Die laaste hoofstuk (Hoofstuk 8) bevat die samevatting en die aanbevelings rakende die funksionaliteit van die voorgestelde RBS.
49
Nodine, Dewayne J. "Spatial decision support system for evaluation of land use plans based upon storm water runoff impacts : a theoretical framework." Virtual Press, 1996. http://liblink.bsu.edu/uhtbin/catkey/1020175.
Full textAbstract:
All land uses affect storm water runoff However, different uses of the same site generate varying amounts of runoff Many communities have come to rely upon detention and/or retention basins for controlling the additional runoff resulting from land development. It is argued that this incremental approach to storm water management must be replaced with a more proactive long-term view.To achieve this, more user-friendly software capable of modeling the effect long-range land use plans have on the volume and behavior of storm water runoff is needed. This software, called a Spatial Decision Support System (SDSS), must be capable of guiding the user, who may not be an expert at runoff analysis, through the process and also capable of generating output in various formats understandable by lay persons. This study utilizes a systems analysis technique to develop a theoretical framework for the Storm Water SDSS.Department of Urban Planning
50
Hamid, Kasmah. "Development of a Web-enabled Spatial Decision Support System (SDSS) for Prevention of Tick Borne Disease in Kuantan, Malaysia." Thesis, Curtin University, 2022. http://hdl.handle.net/20.500.11937/89780.
Full textAbstract:
Ticks are the second most common vectors of human disease after mosquitoes. They are found on many small mammal hosts and also blood-feed on humans with the risk of transmitting diseases. Considering the diseases’ risks, this study has investigated the potential for a web-enabled spatial decision support system (SDSS) to assist government decision-makers in the control, management of resources and prevention of tick borne diseases specifically in the study area of Kuantan, Malaysia.