From Conventional to Knowledge Based Geographical Information Systems

From Conventional to Knowledge Based Geographical Information Systems

Artificial intelligence (Al) has received an explosion of interest during the last five years in various fields. There is no longer any question that expert systems and neural networks will be of central importance for developing the next generation of more intelligent geographic information syst...

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Main Author: Fischer, Manfred M.
Format: Others
Language:en
Published: WU Vienna University of Economics and Business 1994
Online Access:http://epub.wu.ac.at/4196/1/WSG_DP_3594.pdf
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spelling ndltd-VIENNA-oai-epub.wu-wien.ac.at-41962018-05-05T05:18:39Z From Conventional to Knowledge Based Geographical Information Systems Fischer, Manfred M. Artificial intelligence (Al) has received an explosion of interest during the last five years in various fields. There is no longer any question that expert systems and neural networks will be of central importance for developing the next generation of more intelligent geographic information systems. Such knowledge based geographic information systems will especially play a key role in spatial decision and policy analysis related to issues such as environmental monitoring and management, land use planning, motor vehicle navigation and distribution logistics. This paper sketches briefly the major characteristics of conventional geographic information systems, and then looks at some of the potentials of Al principles and techniques in a GIS environment where emphasis is laid on expert systems and artificial neural networks technologies and techniques. (author's abstract) WU Vienna University of Economics and Business 1994-01 Paper NonPeerReviewed en application/pdf http://epub.wu.ac.at/4196/1/WSG_DP_3594.pdf Series: Discussion Papers of the Institute for Economic Geography and GIScience http://epub.wu.ac.at/4196/
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language en
format Others
sources NDLTD
description Artificial intelligence (Al) has received an explosion of interest during the last five years in various fields. There is no longer any question that expert systems and neural networks will be of central importance for developing the next generation of more intelligent geographic information systems. Such knowledge based geographic information systems will especially play a key role in spatial decision and policy analysis related to issues such as environmental monitoring and management, land use planning, motor vehicle navigation and distribution logistics. This paper sketches briefly the major characteristics of conventional geographic information systems, and then looks at some of the potentials of Al principles and techniques in a GIS environment where emphasis is laid on expert systems and artificial neural networks technologies and techniques. (author's abstract) === Series: Discussion Papers of the Institute for Economic Geography and GIScience
author Fischer, Manfred M.
spellingShingle Fischer, Manfred M.
From Conventional to Knowledge Based Geographical Information Systems
author_facet Fischer, Manfred M.
author_sort Fischer, Manfred M.
title From Conventional to Knowledge Based Geographical Information Systems
title_short From Conventional to Knowledge Based Geographical Information Systems
title_full From Conventional to Knowledge Based Geographical Information Systems
title_fullStr From Conventional to Knowledge Based Geographical Information Systems
title_full_unstemmed From Conventional to Knowledge Based Geographical Information Systems
title_sort from conventional to knowledge based geographical information systems
publisher WU Vienna University of Economics and Business
publishDate 1994
url http://epub.wu.ac.at/4196/1/WSG_DP_3594.pdf
work_keys_str_mv AT fischermanfredm fromconventionaltoknowledgebasedgeographicalinformationsystems
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