Tesis sobre el tema "Multicriteria- Spatial Decision Support System"
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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.
Texto completoAlkimim, 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/.
Texto completoA 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.
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/.
Texto completoMansilla, 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.
Texto completoRegmi, Binaya. "Web-enabled Spatial Decision Support System for Interdisciplinary Watershed Management". Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/35383.
Texto completoWebL2W 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
Hlaváč, Vít. "Geografický IS jako Decision Support System". Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-10377.
Texto completoDill, 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.
Texto completoThesis advisors, Daniel R. Dolk, George W. Thomas, and Kathryn Kocher. Includes bibliographical references (p. 203-206). Also available online.
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.
Texto completoCanessa, 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.
Texto completoDavey, 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.
Texto completoJones, 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/.
Texto completoAlsawydani, 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.
Texto completoMurphy, 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.
Texto completoBasson, 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.
Texto completoENGLISH 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.
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.
Texto completoBarnett, 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/.
Texto completoScheibe, Kevin Paul. "A Spatial Decision Support System for Planning Broadband, Fixed Wireless Telecommunication Networks". Diss., Virginia Tech, 2003. http://hdl.handle.net/10919/11242.
Texto completoPh. D.
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.
Texto completoThere 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.
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.
Texto completoFalk, 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.
Texto completo"September 1997." Thesis advisor(s): Daniel R. Dolk, Dale M. Courtnery. Includes bibliography references (p. 267-274). Also available online.
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.
Texto completos 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.
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.
Texto completoThis 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
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.
Texto completoMaster of Science
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.
Texto completoD'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.
Texto completoD'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.
Texto completoDuan, 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.
Texto completoKenney, 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/.
Texto completoBaybas, 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.
Texto completoanalytical 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.
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.
Texto completoPh. D.
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.
Texto completoVita: 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.
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.
Texto completoCathcart, 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.
Texto completoPalem, 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.
Texto completoTypescript. "A thesis [submitted] as partial fulfillment of the requirements of the Master of Arts degree in Geography." Includes bibliographical references (leaves 94-99).
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.
Texto completoZambelli, 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.
Texto completoErcan, 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.
Texto completogood 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.
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.
Texto completoTradizionalmente 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.
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.
Texto completoDAPUETO, 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.
Texto completoBlinn, 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.
Texto completoDumas, 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.
Texto completoMlisa, 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.
Texto completoThe 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)
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.
Texto completoGunay, 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.
Texto completoTims, 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.
Texto completoThis 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.
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.
Texto completoSinske, 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.
Texto completoENGLISH 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.
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.
Texto completoDepartment of Urban Planning
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.
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