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1
Sandhu, Raghbir Singh. "Intelligent spatial decision support systems." Thesis, University College London (University of London), 1998. http://discovery.ucl.ac.uk/1317911/.
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This thesis investigates the conceptual and methodological issues for the development of Intelligent Spatial Decision Support Systems (ISDSS). These are spatial decision support systems (SDSS) integrating intelligent systems techniques (Genetic Algorithms, Neural Networks, Expert Systems, Fuzzy Logic and Nonlinear methods) with traditional modelling and statistical methods for the analysis of spatial problems. The principal aim of this work is to verify the feasibility of heterogeneous systems for spatial decision support derived from a combination of traditional numerical techniques and intelligent techniques in order to provide superior performance and functionality to that achieved through the use of traditional methods alone. This thesis is composed of four distinct sections: (i) a taxonomy covering the employment of intelligent systems techniques in specific applications of geographical information systems and SDSS; (ii) the development of a prototype ISDSS; (iii) application of the prototype ISDSS to modelling the spatiotemporal dynamics of high technology industry in the South-East of England; and (iv) the development of ISDSS architectures utilising interapplication communication techniques. Existing approaches for implementing modelling tools within SDSS and GIS generally fall into one of two schemes - loose coupling or tight coupling - both of which involve a tradeoff between generality and speed of data interchange. In addition, these schemes offer little use of distributed processing resources. A prototype ISDSS was developed in collaboration with KPMG Peat Marwick's High Technology Practice as a general purpose spatiotemporal analysis tool with particular regard to modelling high technology industry. The GeoAnalyser system furnishes the user with animation and time plotting tools for observing spatiotemporal dynamics; such tools are typically not found in existing SDSS or GIS. Furthermore, GeoAnalyser employs the client/server model of distributed computing to link the front end client application with the back end modelling component contained within the server application. GeoAnalyser demonstrates a hybrid approach to spatial problem solving - the application utilises a nonlinear model for the temporal evolution of spatial variables and a genetic algorithm for calibrating the model in order to establish a good fit for the dataset under investigation. Several novel architectures are proposed for ISDSS based on existing distributed systems technologies. These architectures are assessed in terms of user interface, data and functional integration. Implementation issues are also discussed. The research contributions of this work are four-fold: (i) it lays the foundation for ISDSS as a distinct type of system for spatial decision support by examining the user interface, performance and methodological requirements of such systems; (ii) it explores a new approach for linking modelling techniques and SDSS; (iii) it investigates the possibility of modelling high technology industry; and (iv) it details novel architectures for ISDSS based on distributed systems.
2
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.
3
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.
Master of Science
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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.
6
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.
9
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/.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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/.
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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.
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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.
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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.
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Weitl, Harms Sherri K. "Temporal association rule methodologies for geo-spatial decision support /." free to MU campus, to others for purchase, 2002. http://wwwlib.umi.com/cr/mo/fullcit?p3091989.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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
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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.
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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
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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.
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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.)
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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.
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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/.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Ruf, Bernadette. "Decision making in a decision support systems environment : an evaluation of spatial ability and task structure /." Diss., This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-07282008-135404/.
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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.
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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).
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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.
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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.
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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.
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Yi, Shi. "Virtual organization based distributed environmental spatial decision support systems applications in watershed management /." Diss., Connect to online resource - MSU authorized users, 2008.
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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.
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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.
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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.
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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.
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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.
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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.
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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)
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Strager, Michael P. "The integration of spatial analysis techniques and decision support systems for natural resource management." Morgantown, W. Va. : [West Virginia University Libraries], 2004. https://etd.wvu.edu/etd/controller.jsp?moduleName=documentdata&jsp%5FetdId=35.
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Thesis (Ph. D.)--West Virginia University, 2004.Title from document title page. Document formatted into pages; contains ix, 144 p. : ill. (some col.), maps (some col.). Includes abstract. Includes bibliographical references.
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Jong, Yungong Theophilus. "GIS implementation as a decision support tool for planning and managing development interventions." Thesis, Nelson Mandela Metropolitan University, 2011. http://hdl.handle.net/10948/d1021227.
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The aim of this study is to examine key implementation and managerial issues surrounding the use of a Geographic Information Systems (GIS) as a Decisions Support Tool (DST) for planning and managing development interventions. Ever since the emergence of GIS as a powerful analytical tool in almost all spheres of human endeavour, many organisations involved in development work have adopted its use. But the challenges of conceiving and implementing a GIS in ways that are more responsive to the problems that trigger its purchase remains a daunting task to many development organisations; even those with a wealth of experience in GIS. This is one of the motivating factors for this study. In this research, some relevant themes in GIS implementation and GIS management as a Spatial Decision Support System (SDSS) were examined in the literature review. A case study research strategy was used focusing on the experience of the Nelson Mandela Bay Municipality Enterprise GIS (EGIS). The study examined how the system is been ran and what other development organisations can learn from this experience. Data was collected and analysed using a mixed research methods approach. The findings show a good level of GIS acceptance among municipality staff. However, running the system is not hitch free. A couple of problems and challenges were identified on the field. It is recommended that the municipality like most development organisations seeking GIS solutions should put the user at the centre of every technical innovation in GIS as a DST.
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Zhu, Xuan. "A knowledge-based approach to the design and implementation of spatial decision support systems." Thesis, University of Edinburgh, 1995. http://hdl.handle.net/1842/21632.
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Geographical information systems (GIS), expert systems (ES) and spatial decision support systems (SDSS) are becoming important tools for supporting managers and planners in making decisions for resource and environmental management. In recent years, attention has turned to the integration of existing GIS, ES systems and other problem-solving techniques to develop more powerful SDSS systems. Such systems should lead to significant competitive advantages, such as cost savings, the ability to couple analytical modelling with heuristic reasoning, and automated explanation facilities for interpreting and justifying the results of modelling studies. However, early attempts have also demonstrated a number of drawbacks, such as user unfriendliness, lack of flexible model management capabilities and poor adaptation to users' needs. To try and overcome some of these problems, this research establishes a new approach to the development of spatial decision support systems within an integrated framework of GIS, spatial modelling and expert systems techniques and technologies. In this approach, knowledge-based techniques are introduced into the design of knowledge-based spatial decision support systems (KBSDSS), with emphasis on the design of a representation scheme based on spatial influence diagrams and mechanisms for structuring, representing and formulating spatial problems, together with automation of the solution process. Spatial influence diagrams are graphic knowledge representations for resource and environmental problems, consisting of information about all problem variables or parameters and their relationships. They can be seen as spatial analogues of influence diagrams developed for decision analysis. However, spatial influence diagrams are deterministic cases of influence diagrams without decision components. Algorithms are developed to formulate and evaluate spatial influence diagrams using domain-specific knowledge in the system to represent and evaluate specific spatial problems according to the decision marker's perspective.
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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.
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Murad, Abdulkader. "Applications of geographical information systems for educational facilities planning." Thesis, University of Newcastle upon Tyne, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341490.
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Xiubin, Li. "A spatial decision support system for land-use planning : a case study of the upper Gongyi River Catchment, Guangdong, China /." [Hong Kong : University of Hong Kong], 1992. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13205080.
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Elmore, James Link. "Strategic Conservation Planning for High Knob, Virginia: A GIS Decision Support Approach." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/32887.
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Conservation strategies frequently require prioritization of targets due to limited budgets and personnel. Prioritization involves choosing those areas that return the most conservation value for the time and money invested. Hence, the process of prioritization involves evaluating multiple conservation values and the uneven spatial distribution of those values across a landscape of concern. The goal of this study was to help conservation organizations improve decision making for implementation of prioritization-based strategies for land protection using a GIS-based, multi-criteria decision support system (GIS-MCDS).
Geographic Information Systems (GIS) can assist conservation planners in quantifying the relative desirability of one area over another, therefore enabling better business and ecological decisions. GIS analyses for planning are routinely undertaken over large geographic extents such as ecoregions to identify priority areas. These analyses often summarize priority by pixel values in a raster image. Implementation of conservation strategy often takes place at the much larger parcel level. Therefore, aggregating pixel-based results by parcels is a prerequisite to implementation of a purchase or easement strategy. I developed a spatial decision support system in an attempt to quantify private land holdings in the High Knob area of Virginia for their relative conservation value, as defined by the Clinch Valley Program of The Nature Conservancy. It utilizes a proxy approach for measuring conservation values and an analytical hierarchy process to aggregate the results by privately held real estate parcels.
Simple prioritizations are often based on parcel size alone, rather than consideration of the many conservation values that characterize land parcels. Though it is much quicker and easier to prioritize parcels in this manner, such simplicity risks missing important smaller areas for conservation while prioritizing larger parcels with less value. I compared this simple â bigger is betterâ ranking method to the GIS-based multi-criteria method developed for TNC. There was a 0.57 correlation between the ranked lists produced by the two models, suggesting that parcel size alone does partially explain the complexity modeled by the multi-criteria method. However, the more complex method did produce different top priority parcels, which could significantly change an organization's implementation strategy. I conclude that both methods have their applications, though the multi-criteria method is better for long-term implementations of strategic acquisition and easement.
A secondary goal was to identify to what extent land trust organizations are prepared to implement a multi-criteria type analysis like the one considered in this study. I conducted an online survey of conservation professionals on how their organization currently uses GIS and their satisfaction with GIS analyses to meet their organizational mission. Sixty-one responses were collected and analyzed. The overwhelming majority of conservation organizations recognize the benefits that GIS bring and have already developed some level of internal expertise, though many barriers to using GIS were also identified. From these results, I conclude that most land trust conservation organizations are not currently utilizing the insights that multi-criteria GIS prioritization is capable of offering, but that their previous positive experience with GIS makes such analyses an attractive proposition for those on the cutting edge of the land conservation movement.Master of Science
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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.
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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
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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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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.
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Li, Xiubin, and 李秀彬. "A spatial decision support system for land-use planning: a case study of the upper Gongyi River Catchment,Guangdong, China." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1992. http://hub.hku.hk/bib/B3123267X.
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