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Academic literature on the topic 'Multicriteria- Spatial Decision Support System'

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Published: 14 March 2023

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Journal articles on the topic "Multicriteria- Spatial Decision Support System"

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Bensalloua, Charef Abdallah, and Djamila Hamdadou. "Spatial OLAP and Multicriteria Integrated Approach for Decision Support System." International Journal of Decision Support System Technology 10, no. 3 (July 2018): 1–26. http://dx.doi.org/10.4018/ijdsst.2018070101.

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This article describes how Spatial On-Line Analytical Processing, such a decisional technology, offers the possibilities of spatial and multidimensional analysis of data stored in multidimensional structure namely spatial data warehouse. However, this technology is limited in the quality aspect of the decision related to the multicriteria consideration. In the current article, the objective is to propose a Spatial Decision Support System namely “Silvicultura” for facilitating decision making in complex situations. This approach is based on integrating multicriteria analysis with SOLAP in order to enrich the spatial and multidimensional analysis with the contribution of MCA tools for mitigating conflict situations. The authors have based their proposal modeling on Unified Modeling language, since it is a well-known standard modeling language and can be easily extended for multidimensional modeling. Finally, in order to validate their proposal, the authors present a case study to show how to use it in the agroforestry management.
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Alçada-Almeida, Luís, João Coutinho-Rodrigues, and José-Paulo de Almeida. "Interactive multicriteria decision support system for spatial planning analysis." Proceedings of the Institution of Civil Engineers - Municipal Engineer 166, no. 1 (March 2013): 3–15. http://dx.doi.org/10.1680/muen.12.00010.

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Yatsalo, B., V. Didenko, A. Tkachuk, G. Gritsyuk, O. Mirzeabasov, V. Slipenkaya, A. Babutski, I. Pichugina, T. Sullivan, and I. Linkov. "Multi-Criteria Spatial Decision Support System DECERNS." International Journal of Information Systems and Social Change 1, no. 1 (January 2010): 11–30. http://dx.doi.org/10.4018/jissc.2010092902.

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Land-use planning and environmental management often requires an implementation of both geoyspatial information analysis and value-driven criteria within the decision-making process. DECERNS (Decision Evaluation in Complex Risk Network Systems) is a web-based distributed decision support system for multicriteria analysis of a wide range of spatially-explicit land management alternatives. It integrates mainly basic and some advanced GIS functions and implements several Multi-Criteria Decision Analysis (MCDA) methods and tools. DECERNS can also be integrated with a model server containing generic and site specific models for in-depth analysis of project and environmental risks as well as other decision criteria under consideration. This paper provides an overview of the modeling approaches as well as methods and tools used in DECERNS. Application of the DECERNS WebSDSS (Web-based Spatial Decision Support System) for a housing site selection case study is presented.
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Agrawal, Neelam, Kesari Verma, and Tarun Kumar. "Multicriteria Spatial Decision Support System for Soil Fertility Assessment in Agriculture." International Journal of Computer Applications 174, no. 10 (January 15, 2021): 29–34. http://dx.doi.org/10.5120/ijca2021920975.

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Hamdadou, Djamila, and Karim Bouamrane. "A spatial group decision support system: Coupling negotiation and multicriteria approaches." Intelligent Decision Technologies 10, no. 2 (March 1, 2016): 129–47. http://dx.doi.org/10.3233/idt-150244.

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Coutinho-Rodrigues, João, Ana Simão, and Carlos Henggeler Antunes. "A GIS-based multicriteria spatial decision support system for planning urban infrastructures." Decision Support Systems 51, no. 3 (June 2011): 720–26. http://dx.doi.org/10.1016/j.dss.2011.02.010.

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Benmoussa, Khadidja, Djamila Hamdadou, and Zine El Abidine Roukh. "Spatial Group Decision Support System to Facilitate Site Selection Negotiation Process, Reduce Decision-Maker Conflict, and Augment System Performance." International Journal of Organizational and Collective Intelligence 12, no. 1 (January 1, 2022): 1–28. http://dx.doi.org/10.4018/ijoci.304884.

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The selection of a suitable land requires careful thought and several criteria must be taken into account to ensure a good decision. Typically, selection processes are based on face-to-face meetings. But this strategy focuses on simple predefined searches and selections according to some basic criteria, such as land price, etc. They do not take into account spatially explicit criteria and spatial analyzes relevant to a site selection process (for example, proximity to hospital). To overcome these limitations, the proposed system relies on the integration of four key concepts: a multi-agent system, a multi-criteria method, geographic and ontological information systems. The results of the implementation provide manageability of large data storage. Despite the large number of approaches integrating geographic information systems and multicriteria analyzes, their use, in practice, is limited because they lack data semantics. As a result, the concept of ontology which introduces the semantics of the proposed approach offers many possibilities in terms of the type of terrain.
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Esmaelian, Majid, Madjid Tavana, Francisco J. Santos Arteaga, and Sommayeh Mohammadi. "A multicriteria spatial decision support system for solving emergency service station location problems." International Journal of Geographical Information Science 29, no. 7 (May 20, 2015): 1187–213. http://dx.doi.org/10.1080/13658816.2015.1025790.

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Marques, Marlene, Keith M. Reynolds, Susete Marques, Marco Marto, Steve Paplanus, and José G. Borges. "A Participatory and Spatial Multicriteria Decision Approach to Prioritize the Allocation of Ecosystem Services to Management Units." Land 10, no. 7 (July 16, 2021): 747. http://dx.doi.org/10.3390/land10070747.

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Forest management planning can be challenging when allocating multiple ecosystem services (ESs) to management units (MUs), given the potentially conflicting management priorities of actors. We developed a methodology to spatially allocate ESs to MUs, according to the objectives of four interest groups—civil society, forest owners, market agents, and public administration. We applied a Group Multicriteria Spatial Decision Support System approach, combining (a) Multicriteria Decision Analysis to weight the decision models; (b) a focus group and a multicriteria Pareto frontier method to negotiate a consensual solution for seven ESs; and (c) the Ecosystem Management Decision Support (EMDS) system to prioritize the allocation of ESs to MUs. We report findings from an application to a joint collaborative management area (ZIF of Vale do Sousa) in northwestern Portugal. The forest owners selected wood production as the first ES allocation priority, with lower priorities for other ESs. In opposition, the civil society assigned the highest allocation priorities to biodiversity, cork, and carbon stock, with the lowest priority being assigned to wood production. The civil society had the highest mean rank of allocation priority scores. We found significant differences in priority scores between the civil society and the other three groups, highlighting the civil society and market agents as the most discordant groups. We spatially evaluated potential for conflicts among group ESs allocation priorities. The findings suggest that this approach can be helpful to decision makers, increasing the effectiveness of forest management plan implementation.
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MALCZEWSKI, Jacek, and Mohammadreza JELOKHANI-NIARAKI. "An ontology-based multicriteria spatial decision support system: a case study of house selection." Geo-spatial Information Science 15, no. 3 (August 30, 2012): 177–85. http://dx.doi.org/10.1080/10095020.2012.715900.

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Dissertations / Theses on the topic "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.

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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.
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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/.

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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.
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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/.

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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.
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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.

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Regmi, Binaya. "Web-enabled Spatial Decision Support System for Interdisciplinary Watershed Management." Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/35383.

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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.


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Hlaváč, Vít. "Geografický IS jako Decision Support System." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-10377.

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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.
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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.

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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.
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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.

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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.

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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.

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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.
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Books on the topic "Multicriteria- Spatial Decision Support System"

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Dill, Robert W. Data warehousing and data quality for a Spatial Decision Support System. Monterey, Calif: Naval Postgraduate School, 1997.

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Hershey, Rachel Riemann. Towards an effective spatial decision support system for landuse management and planning. London: London School of Economics and Political Science. Geographical Information Research Laboratory, 1991.

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Arentze, Theo. A spatial decision support system for the planning of retail and service facilities. Eindhoven: University of Eindhoven, 1999.

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Falk, Peter R. ARIES: An architectural implementation of a multi-criterion Spatial Decision Support System (SDSS). Monterey, Calif: Naval Postgraduate School, 1997.

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Murphy, Mark A. An automated spatial decision support system for the relocation of Army Reserve Units. Monterey, Calif: Naval Postgraduate School, 1997.

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Sholva, Yus. Spatial decision support system untuk mendukung pengentasan kemiskinan masyarakat kota melalui partisipasi masyarakat dan peran serta pengurus RT/RW sebagai perpanjangan tangan pemerintah: Laporan akhir penelitian strategis nasional tahun 2009 batch I. Pontianak]: Fakultas Teknik, Universitas Tanjungpura, 2009.

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Data Warehousing and Data Quality for a Spatial Decision Support System. Storming Media, 1997.

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An Automated Spatial Decision Support System for the Relocation of Army Reserve Units. Storming Media, 1997.

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Regenfelder, Melanie. Development of a Spatial Decision Support System for Habitat Modeling: Concept and Implementation. AV Akademikerverlag, 2013.

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ARIES: An Architectural Implementation of a Multi-Criterion Spatial Decision Support System (SDSS). Storming Media, 1997.

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Book chapters on the topic "Multicriteria- Spatial Decision Support System"

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Chakhar, Salem, and Vincent Mousseau. "Multicriteria Spatial Decision Support Systems." In Encyclopedia of GIS, 753–58. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_840.

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Chakhar, Salem, and Vincent Mousseau. "Multicriteria Spatial Decision Support Systems." In Encyclopedia of GIS, 1–8. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23519-6_840-2.

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Chakhar, Salem, and Vincent Mousseau. "Multicriteria Spatial Decision Support Systems." In Encyclopedia of GIS, 1404–11. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-17885-1_840.

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Shekhar, Shashi, and Hui Xiong. "Spatial Multicriteria Decision Support Systems." In Encyclopedia of GIS, 1102. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1283.

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Luè, A., and A. Colorni. "A Multicriteria Spatial Decision Support System for Hazardous Material Transport." In Evaluation and Decision Models with Multiple Criteria, 429–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46816-6_14.

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Lagrab, Waleed, and Noura Aknin. "Knowledge-Based Multicriteria Spatial Decision Support System (MC-SDSS) for Trends Assessment of Settlements Suitability." In Innovations in Smart Cities and Applications, 574–86. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74500-8_53.

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Cerreta, Maria, Fortuna De Rosa, Maria Di Palma, Pasquale Inglese, and Giuliano Poli. "A Spatial Multicriteria Assessment Decision Support System (SMCA-DSS) for East Naples: Towards a Water Opportunity Map." In Lecture Notes in Computer Science, 572–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39649-6_41.

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Bandyopadhyay, Susmita. "Spatial Decision Support System." In Decision Support System, 217–25. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003307655-12.

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Crossland, Martin D. "Spatial Decision Support System." In Encyclopedia of GIS, 1. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23519-6_1264-2.

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Crossland, Martin D. "Spatial Decision Support System." In Encyclopedia of GIS, 2011. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-17885-1_1264.

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Conference papers on the topic "Multicriteria- Spatial Decision Support System"

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Mohamed, Hanine, Boutkhoum Omar, Tickniouine Abdessadek, and Agouti Tarik. "Approach to integration SOLAP tools and multicriteria analysis for spatial decision support." In 2013 ACS International Conference on Computer Systems and Applications (AICCSA). IEEE, 2013. http://dx.doi.org/10.1109/aiccsa.2013.6616469.

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Genova, K., M. Vassileva, V. Vassilev, and F. Andonov. "Linear multicriteria decision support system." In the 4th international conference conference. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/973620.973678.

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"MULTICRITERIA DECISION SUPPORT SYSTEM MULTIOPTIMA." In 10th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001698602760281.

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Genova, Krasimira, Vassil Vassilev, Filip Andonov, Mariyana Vassileva, and Silvia Konstantinova. "A multicriteria analysis decision support system." In the 5th international conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1050330.1050372.

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Chai, Junyi, James N. K. Liu, Man Lung Yiu, Hongwei Wang, and Anming Li. "A Novel Dynamic Skyline Operation for Multicriteria Decision Support." In 2013 46th Hawaii International Conference on System Sciences (HICSS). IEEE, 2013. http://dx.doi.org/10.1109/hicss.2013.49.

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Nehme, Cláudio Chauke, and Margareth Simões. "Spatial decision support system for land assessment." In the seventh ACM international symposium. New York, New York, USA: ACM Press, 1999. http://dx.doi.org/10.1145/320134.320157.

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Mao, Xi, and Qi Li. "Ontology-based web spatial decision support system." In 2011 19th International Conference on Geoinformatics. IEEE, 2011. http://dx.doi.org/10.1109/geoinformatics.2011.5980936.

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Shan Gao, J. Paynter, and D. Sundaram. "Flexible support for spatial decision-making." In 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the. IEEE, 2004. http://dx.doi.org/10.1109/hicss.2004.1265200.

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San Pedro, J., and F. Burstein. "A framework for case-based fuzzy multicriteria decision support for tropical cyclone forecasting." In 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the. IEEE, 2003. http://dx.doi.org/10.1109/hicss.2003.1174209.

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Wong, D. W. S., and C. V. Wu. "Spatial metadata and GIS for decision support." In Proceedings of HICSS-29: 29th Hawaii International Conference on System Sciences. IEEE, 1996. http://dx.doi.org/10.1109/hicss.1996.493251.

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Reports on the topic "Multicriteria- Spatial Decision Support System"

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Callaghan, Caitlin, Matthew Bigl, Brandon Booker, Kyle Elliott, Paulina Lintsai, Marissa Torres, Kathryn Trubac, and Jacqueline Willan. Energy Atlas—mapping energy-related data for DoD lands in Alaska : Phase 1—assembling the data and designing the tool. Engineer Research and Development Center (U.S.), October 2021. http://dx.doi.org/10.21079/11681/42226.

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The U.S. Army is the largest Department of Defense (DoD) land user in Alaska, including remote areas only accessible by air, water, or wintertime ice roads. Understanding where energy resources and related infrastructure exist on and adjacent to DoD installations and training lands can help in-form Army decision-makers, especially in remote locations like Alaska. The Energy Atlas–Alaska provides a value-added resource to support decision-making for investments in infrastructure and diligent energy management, helping Army installations become more resilient and sustainable. The Energy Atlas–Alaska utilizes spatial information and provides a consistent GIS (geographic information system) framework to access and examine energy and related resource data such as energy resource potential, energy corridors, and environmental information. The database can be made accessible to DoD and its partners through an ArcGIS-based user interface that provides effective visualization and functionality to support analysis and to inform DoD decision-makers. The Energy Atlas–Alaska helps DoD account for energy in contingency planning, acquisition, and life-cycle requirements and ensures facilities can maintain operations in the face of disruption.
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Callaghan, Caitlin, Matthew Bigl, Brandon Booker, Kyle Elliott, Paulina Lintsai, Marissa Torres, Kathryn Trubac, and Jacqueline Willan. Energy Atlas—mapping energy-related data for DoD lands in Alaska : Phase 1—assembling the data and designing the tool. Engineer Research and Development Center (U.S.), October 2021. http://dx.doi.org/10.21079/11681/42226.

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Abstract:
The U.S. Army is the largest Department of Defense (DoD) land user in Alaska, including remote areas only accessible by air, water, or wintertime ice roads. Understanding where energy resources and related infrastructure exist on and adjacent to DoD installations and training lands can help in-form Army decision-makers, especially in remote locations like Alaska. The Energy Atlas–Alaska provides a value-added resource to support decision-making for investments in infrastructure and diligent energy management, helping Army installations become more resilient and sustainable. The Energy Atlas–Alaska utilizes spatial information and provides a consistent GIS (geographic information system) framework to access and examine energy and related resource data such as energy resource potential, energy corridors, and environmental information. The database can be made accessible to DoD and its partners through an ArcGIS-based user interface that provides effective visualization and functionality to support analysis and to inform DoD decision-makers. The Energy Atlas–Alaska helps DoD account for energy in contingency planning, acquisition, and life-cycle requirements and ensures facilities can maintain operations in the face of disruption.
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Beck, Tanya, and Ping Wang. Morphodynamics of barrier-inlet systems in the context of regional sediment management, with case studies from West-Central Florida, USA. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41984.

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The temporal and spatial scales controlling the morphodynamics of barrier-inlet systems are critical components of regional sediment management practice. This paper discusses regional sediment management methods employed at multiple barrier-inlet systems, with case studies from West-Central Florida. A decision-support tool is proposed for regional sediment management with discussion of its application to barrier-inlet systems. Connecting multiple barrier islands and inlets at appropriate spatio-temporal scales is critical in developing an appropriately scoped sediment management plan for a barrier-inlet system. Evaluating sediment bypassing capacity and overall inlet morphodynamics can better inform regional sand sharing along barrier-inlet coastlines; particularly where sediment resources are scarce and a close coupling between inlet dredging and beach placement is vital to long-term sustainable management. Continued sea-level rise and anthropogenic activities may intensify the need for investigating longer-term processes and expanding regional planning at a centennial timescale and are acknowledged as challenging tasks for RSM studies. Specifically, we suggested that a regionally focused, multi-inlet study was necessary for management plan of individual inlet for the west-central Florida case studies. Key recommendations based on the case studies are included.
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