Artificial intelligence and geographic information systems: mutual meeting and passing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F09%3A00010659" target="_blank" >RIV/61989592:15310/09:00010659 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Artificial intelligence and geographic information systems: mutual meeting and passing
Original language description
Complicated systems such as geographic information systems (GIS) require sophisticated reasoning mechanisms for dealing with spatial information maintained by techniques in database management systems. However, their usage is limited, especially for thesystems where data are very dynamic and need intelligent decision making support in the presence of some uncertainty. In last years, many geoscientific researchers have begun to examine non-parametric techniques that may explain and model environmental data (Bradshaw et al. 1999; Chon et al. 1996; Ozesmi and Ozesmi 1999). It has been suggested that neural networks and case-based reasoning may provide appropriate techniques for ecological modelling (Bradshaw et al. 1999; Holt and Benwell 1999). Due to the inherent spatial nature of geographical data, it seems reasonable that such modelling be done within a GIS. In the last ten years there has been a significant increase in the application of artificial intelligence (AI) to many practical
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
DE - Earth magnetism, geodesy, geography
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA205%2F09%2F1079" target="_blank" >GA205/09/1079: Methods of Artificial Inteligence in GIS</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Conference on Intelligent Networking and Collaborative Systems INCos 2009
ISBN
978-0-7695-3858-7
ISSN
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e-ISSN
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Number of pages
421
Pages from-to
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Publisher name
IEEE Computer Society Press
Place of publication
New York
Event location
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Event date
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Type of event by nationality
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UT code for WoS article
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