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...
Main Author: | |
---|---|
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 |
id |
ndltd-VIENNA-oai-epub.wu-wien.ac.at-4196 |
---|---|
record_format |
oai_dc |
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/ |
collection |
NDLTD |
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 |
_version_ |
1718634590635032576 |