Intelligent GI Analysis

Manfred Fischer

Chapter 19 in Geographical Information and Planning, 1999, pp 349-368 from Springer

Abstract: Abstract Geographic Information Analysis (GIA) embraces a whole cluster of techniques and models which apply formal, usually mathematical and statistical, structures to systems in which the prime variables of interest vary significantly across space. GIA is currently entering a period of rapid change leading to what may be termed intelligent GIA. The driving forces are a combination of large amounts of digital spatial data due to the GIS data revolution, the availability of attractive softcomputing tools, the rapid growth in computational power, and the new emphasis on exploratory data analysis and modelling.

Keywords: Genetic Algorithm; Neural Network Model; Processing Element; Evolutionary Computation; Standard Genetic Algorithm (search for similar items in EconPapers)
Date: 1999
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:adspcp:978-3-662-03954-0_19

Ordering information: This item can be ordered from
http://www.springer.com/9783662039540

DOI: 10.1007/978-3-662-03954-0_19

Access Statistics for this chapter

More chapters in Advances in Spatial Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().