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| 1 through 10 of 71 of the best matching documents. | ||
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| 1: | SDSS/LUP description Spatial Decision Support System for rural Land Use Planning - SDSS/LUP Introduction 1.1 Conservation Planning Information System (CONPLAN) District/sub-district level planning, with emphasis on conservation management of the rural areas, have been stressed for many years in the successive National Development Plans. However, planning is meaningful only when the natural resources are seen in its spatial perspective, distributed over an area. Hence, it is imperative to generate and document a well organized spatial/non-spatial database of the district as a whole for macro-level planning and at block/watershed resolution for micro-level planning, which would in turn be useful in planning the conservation/watershed management programmes for sustainable development. In modern times, the information has been supplemented through Remote Sensing and GIS and has been used to reduce the information gaps. 1.2 Spatial Decision Support System for rural Land Use Planning ... http://www.csre.iitb.ac.in/adi/desc/description.html |
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| 2: | SDSS for Location Planning, or The Seat of the Pants is Out SDSS for Location Planning, or The Seat of the Pants is Out by Larry Daniel Manager of GIS Development MPSI, Inc. (Published in GeoInfo Systems December 1992) In the GeoInfo Systems May '92 issue, Donald Cooke described the general characteristics of a spatial decision support system (SDSS). This article reviews those concepts and extends the discussion by examining SDSS as it has historically applied to site analysis. Reviewing SDSS As described by Donald Cooke in the May '92 issue of GeoInfo Systems, a spatial decision support system (SDSS) is 'canned software that is intuitively obvious to use, solves problems efficiently and delivers immediate results'. SDSS is off-the-shelf software for carefully selected functions, i.e. bug-free point-and-shoot capabilities on very specific spatially-oriented needs. SDSSs don't require in-depth commands to operate, yet allow users to negotiate very sophisticated geographic analysis. Many of the distinctions between GIS and SDSS ... http://www.colorado.edu/... hy/gcraft/notes/gisapps/sdss.html |
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| 3: | SDSS For Rape Suspect Identification activities are merely the most elementary uses for a geographic information system (GIS). Additional, higher level GIS functionality can be utilized to support investigative activities. One area that may particularly benefit from suspect identification/prioritization is rape investigations. Unfortunately, most GIS s do not have the "off the shelf" capability necessary to perform this function. However, through the development of a hybrid application - in this case a Spatial Decision Support System (SDSS) that incorporates the concept of an Expert System (ES) and utilizes dynamic data exchange (DDE) - this problem can be solved. The purpose of this project is to integrate the functionality of ArcView and Microsoft ACCESS with the knowledge base of rape investigators to create an SDSS for use in identifying and ranking rape suspects. INTRODUCTION Geography has always been important to law enforcement practitioners. Pin maps of incident patterns have existed in police departments ... http://www.esri.com/... f/proc97/proc97/to350/pap333/p333.htm |
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| 4: | SDSS Section 2 A Spatial Decision Support System (SDSS) for Electoral Districting Components of the SDSS The following components were used to compute the constituency boundaries in the Kenya and South African examples: A location-allocation model to represent the problem. Data items to implement the model. An objective function to define the user s objectives. An algorithm to solve the problem. Special features to find non-inferior solutions. A GIS to map solutions. The p-median location-allocation model The SDSS uses a location-allocation model to make these maps The classic location-allocation model finds regions for which the sum of the populations of the enumeration areas times the distance to their respective centers is least. These electoral districts are maximally compact regions adjusted for the different population weights. In the p-median model, the sum of person distances to their centers is least and the function Z is minimized. where: wi = population of the ith enumeration ... http://www.uiowa.edu/~electdis/SDSS_section2.htm |
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| 5: | SDSS Section 3 A Spatial Decision Support System (SDSS) for Electoral Districting Algorithms and Data Structures Algorithms to solve the p-median problem Computational difficulties led to the development of heuristic solution techniques which are invariably used for large problems. We use the GRIA heuristic (Densham and Rushton 1992a) This systematically exchanges the enumeration areas that are the centers of new electoral districts During each iteration, the remaining enumeration areas are allocated to the new centers to form approximately equal population size districts. This is a substitution type heuristic with the property that at its termination no pair-wise substitution of any one enumeration area from one electoral district to another electoral district will improve the value of the objective function. Special features to find non-inferior solutions The coefficients in the p-median location-allocation model are modified with appropriate weights to find maps along the solution ... http://www.uiowa.edu/~electdis/SDSS_section3.htm |
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| 6: | Suggested Framework (along with prototype) For realizing Spatial Decision Support Systems (SDSS) A:link {COLOR: 000080; TEXT-DECORATION: none} A:visited {COLOR: 000080; TEXT-DECORATION: none} A:active {COLOR: 000080; TEXT-DECORATION: none} A:hover {COLOR: red; TEXT-DECORATION: underline} GISdevelopment.net -> Application -> Geographic Information Infrastructure Suggested Framework (along with prototype) For realizing Spatial Decision Support Systems (SDSS) R K Goel Head, Geomatics Technology Division Space Applications Centre Ahmedabad – 380053 Decision Making and Decision Support The process of decision making implies the selection of the best course of action(s) in order to achieve a set of pre-defined objectives within certain constraints. Such a choice of action(s) is made by a decision maker on the basis of logical analysis of facts coupled with his knowledge of the decision making environment/context as well as his experience and intuition. Process involves repeated consideration of feasible alternatives with regard to action, their evaluation, comparison and ... http://www.gisdevelopment.net/... /management/giimn0002pf.htm |
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| 7: | Untitled Document A Spatial Decision Support System (SDSS) for Electoral Districting What is a SDSS? A computational system for generating interesting alternative sets of electoral districts Designed to control the properties of each set of districts generated by the model Users specify their optimal criteria (defined below) and the SDSS then generates a new set of electoral districts Users can add spatial constraints–for example, the boundaries of electoral districts must fall within provincial or state boundaries; electoral districts must not cross natural features such as rivers and lakes or mountains. "Compactness" vs. "Equality" The distinguishing feature of this SDSS is that it permits the user to control the search for electoral districts that maximize geographic compactness, or equality of populations, or the "best" compromise between the two. The SDSS generates successive maps of the electoral districts along the solution frontier represented by the following diagram - the non-inferior ... http://www.uiowa.edu/~electdis/SDSS_right.htm |
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| 8: | ISD'99 - A TAXONOMY FOR DEVELOPING SPATIAL DECISION SUPPORT SYSTEM A TAXONOMY FOR DEVELOPING SPATIAL DECISION SUPPORT SYSTEM Key words: Taxonomy, Spatial Decision Support System, SDSS, Geographic Information System, GIS, Scientific Modelling, Database, Modelbase, Coupling, Integration, Watershed. Abstract: Due to their extension and complexity, problems concerned with geographic space are usually classified as ill or unstructured. For these reasons decision-making processes (DMP) that conclude with the selection of optimal or satisfactory solutions require effective and efficient means of support. Spatial Decision Support Systems (SDSS) are computer systems developed to support DMP in which the problems have geographic dimensions and whose structure is complex or impossible to delineate. These systems are functionally composed of data and scientific models managed with the aim of providing maximised support to DMP. The component represented by spatial data is one of the main obstacles that have to be overcome for SDSS to give effective ... http://www.boisestate.edu/isd99/abstracts/dss.htm |
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| 9: | Spatial Decision Support Systems (SDSS) Spatial Decision Support Systems (SDSS) A broader appreciation of the variate qualities of GIS, particularly with respect to environmental modelling, would seem to be the next logical step since, 'during the present century, notably its latter half, physical geography has been greatly stimulated by quantification, computer technology, remote sensing and other advances of instrumentation' (Orme 1985). Taking geomorphology as an example, 'the trends towards process studies within geomorphology was accompanied by the development of more precise techniques for mapping the landscape and for monitoring change; and by the adoption of methods, such as those arising from systems analysis, capable of handling very complex, dynamic situations. As a result, geomorphological advice could be offered in a form that was more rigorous, and intelligible and acceptable, to those outside the subject who were seeking it' Cooke and Doornkamp (1990). Thus GIS assists environmental modelling ... http://www.geog.leeds.ac.uk/... 4/gisjg/exproc/pben/psdss.htm |
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| 10: | Integrating GIS with DSS: a research agenda DSS: A RESEARCH AGENDA Abstract. In a broad sense, every GIS helps the user make more informed decisions. However, the real power of decision support systems has not made its impact on GIS technology. The missing link between sophisticated spatial data systems (GIS) and refined choice models, pattern-seeking systems, and integrated decision support tools (DSS) seems to be a planning/policy analysis methodology based on a planning/policy analysis theory. While Spatial Decision Support Systems (SDSS) generally include pattern-seeking models of geographical analysis, they would benefit from the integration of choice models in a flexible, decision research approach. Several candidates for this integration are considered and evaluated under a problem solving/decision theory approach while special emphasis is placed on the behavioral aspects of individual and group decision making. INTRODUCTION The analysis presented in the paper is restricted to socio-economic applications ... http://spatialodyssey.ursus.maine.edu/... /urisa/ur94015.html |
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