Collaborative spatial decision support systems (C-SDSS) have been used to help groups of stakeholders understand data and search for opportunities at resolving local and regional decision problems in various domains including land use, transportation, and water resources. The key issue in designing an effective C-SDSS is the anticipation of user information needs. Knowledge of user information ...

This paper describes the concept of spatial decision support system (SDSS), which combines network analysis and spatial analysis of accessibility with a web-based map service. There are two main objectives of this research: (1) to assess spatial variation of accessibility to certain services within the city area based on network analysis and (2) to share this knowledge with potential users (cit...

Climate change challenges communities to visualize spatial patterns of risk, assess their vulnerability to those risks, and prepare adaptation plans to lower vulnerability. This paper outlines the design and implementation of a prototype web-based spatial decision support system (SDSS), referred to as the Community Adaptation Viewer (CAV), to assist adaptation planning. Thin-client, Javascript ...

The purpose of this research is to describe the framework for agent-based modeling within distributed Spatial Decision Support System on the Web. A system with three tier client/server architecture model was designed for the development of web-based distributed SDSS based on its function logic. The first level is user interface, offers user interface function; the second level is SDSS level, of...

Spatial Decision Support Systems (SDSS) assist decision makers in analyzing spatial problems and evaluate alternative solutions using applicable spatial and non-spatial data as well as analytical models. SDSS environments are typically built on top of Geographical Information Systems (GIS), which are capable of storing, manipulating and displaying geographically referenced information. Traditio...

In disaster insurance and reinsurance, GIS has been used to visualize and manage geospatial data and to help vulnerability and risk analysis for years. However, hazard insurance is a multidisciplinary issue that involves complex factors and uncertainty. GIS, if used alone, has limited functionality due to poor incorporation of intelligence and spatial statistics. The Spatial Decision Support Sy...

Recent technological advances in Operational Research and Information Technology have enabled the development of high quality spatial decision support systems (SDSS). They constitute a new scientific area of information systems applications developed to support semi-structured or unstructured decisions, paying much attention to the spatial dimension of data to be analyzed, such as the location ...

A preliminary implementati on of a spatial decision support systern (SC?SS) for silvicult�ral planning in s_�ndary coniferous forests is presented. The SDSS provides support in structuling and factonzmg _ complex decision. pro­ blems and in evaluating decision alternatives with respect to the preferences of the dec1s1on _ maker. To _facd1�te spatial analysis of tree species suitability and deri...

Assisted housing counseling can enable clients to choose affordable housing in opportunity-rich communities. However, the quality of such services may vary widely. In this paper we present a framework for developing a spatial decision support system (SDSS) for housing mobility counseling and present evidence regarding the capacity of assisted housing clients to make productive use of such a SDS...