A service provided by the WU Library and the WU IT-Services

From Conventional to Knowledge Based Geographical Information Systems

Fischer, Manfred M. (1994) From Conventional to Knowledge Based Geographical Information Systems. Discussion Papers of the Institute for Economic Geography and GIScience, 35/94. WU Vienna University of Economics and Business, Vienna.

[img]
Preview
PDF
Download (6Mb) | Preview

Abstract

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)

Item Type: Paper
Divisions: Departments > Sozioökonomie > Wirtschaftsgeographie und Geoinformatik > Fischer
Depositing User: ePub Administrator
Date Deposited: 01 Jul 2014 14:22
Last Modified: 22 Dec 2015 12:27
URI: http://epub.wu.ac.at/id/eprint/4196

Actions

View Item