Munich Personal RePEc Archive

From Conventional to Knowledge Based Geographical Information Systems

Fischer, Manfred M. (1994): From Conventional to Knowledge Based Geographical Information Systems. Published in: Computers, Environment and Urban Systems , Vol. 18, No. 4 (1994): pp. 233-242.

[img]
Preview
PDF
MPRA_paper_77817.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.

UB_LMU-Logo
MPRA is a RePEc service hosted by
the Munich University Library in Germany.