Agent-based modelling environment for spatial decision support
Authors:
Raja R. Sengupta a;
David A. Bennett b
| Affiliations: | a Department of Geography, 4438 Faner Hall, Southern Illinois University, Carbondale, IL 62901-4514, USA; e-mail: rajasen@siu.edu. |
| b Department of Geography, 316 Jessup Hall, The University of Iowa, Iowa City, IA 52252, USA; e-mail: david-bennett@uiowa.edu. |
DOI:
10.1080/713811747
Publication Frequency:
12 issues per year
Published in:
International Journal of Geographical Information Science,
Volume
17,
Issue
2
March
2003
, pages 157
- 180
Subjects:
Cartography;
Computer Science (General);
Earth Sciences;
Geographic Information Systems;
Location Based Services;
Navigation;
Systems & Computer Architecture of Databases;
Topography;
Transport Geography;
Number of References: 41
Formats available:
PDF
(English)
Previously published as:
International journal of geographical information systems
(0269-3798,
1362-3087)
until 1996
View Article:
View Article (PDF)
Abstract
The goal of Spatial Decision Support Systems (SDSS) is to assist decision-makers as they generate alternative solutions to a variety of semi-structured geographical problems, and to evaluate these solutions with the help of applicable data and analytical models. Most existing SDSS, however, support only a limited number of decision-making environments, and are not designed to utilize web-accessible repositories of spatial data and models. These limitations are overcome through the use of 'software agents' within an agent-oriented modelling framework, called 'Distributed Intelligent Geographical Modelling Environment (DIGME)'. The utility of this framework is demonstrated through the development of an SDSS to evaluate the ecological and economic impacts of agricultural policy for the Cache River watershed of southern Illinois.
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