Intelligent geographic information systems (IGIS) and surface water modeling
Arnold, Uwe, Datta, Bithin, and Haenscheid, Peter (1989) Intelligent geographic information systems (IGIS) and surface water modeling. In: IAHS Publications (181) pp. 407-416. From: Third Scientific Assembly of the International Association of Hydrological Sciences: New Directions for Surface Water Modeling, May 1989, Baltimore, MD, USA.
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Abstract
Geographic Information Systems (GIS) are emerging as major spatial data handling tools for natural resources inventory and management. For simulation model applications to surface water related problems, a GIS can serve as a powerful, interactive, and graphics oriented data platform and user environment. However, prior to utilizing available data and models, analysis of the problem's information requirements, the data base contents, and the given boundary conditions is necessary to configure models and data in a most effective and economical way. Problem diagnosis and preprocessing steps such as domain discretization, model parameter selection and calibration require problem-, method- and tool-specific expertise. This paper describes a conceptual approach towards the development of an "intelligent" Geographic Information System (IGIS), which incorporates knowledge processing capabilities for the surface water problem domain. Special attention is given to object oriented methodology, interfaces between numeric data and symbolic knowledge representation, and to dealing with uncertainty.
| Item ID: | 21602 |
|---|---|
| Item Type: | Conference Item (Research - E1) |
| ISBN: | 978-0-947571-96-2 |
| Funders: | German Academic Exchange Service |
| Date Deposited: | 29 Nov 2017 00:21 |
| FoR Codes: | 09 ENGINEERING > 0905 Civil Engineering > 090509 Water Resources Engineering @ 50% 09 ENGINEERING > 0907 Environmental Engineering > 090799 Environmental Engineering not elsewhere classified @ 50% |
| SEO Codes: | 96 ENVIRONMENT > 9609 Land and Water Management > 960999 Land and Water Management of Environments not elsewhere classified @ 100% |
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