Delineation of demographic regions with GIS and computational intelligence

Hatzichristos, T

dc.contributor.author	Hatzichristos, T	en
dc.date.accessioned	2014-03-01T01:20:06Z
dc.date.available	2014-03-01T01:20:06Z
dc.date.issued	2004	en
dc.identifier.issn	0265-8135	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15841
dc.subject	Computational Intelligence	en
dc.subject	Fuzzy Classification	en
dc.subject	Geographic Information System	en
dc.subject	Neural Network	en
dc.subject.classification	Environmental Studies	en
dc.subject.other	classification	en
dc.subject.other	demographic trend	en
dc.subject.other	GIS	en
dc.subject.other	methodology	en
dc.title	Delineation of demographic regions with GIS and computational intelligence	en
heal.type	journalArticle	en
heal.identifier.primary	10.1068/b1296	en
heal.identifier.secondary	http://dx.doi.org/10.1068/b1296	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	This paper presents a methodology for the creation of homogeneous demographic regions with geographical information systems (GIS) and computational intelligence. The proposed method is unsupervised fuzzy classification performed by neural networks using the fuzzy Kohonen algorithm. GIS technology offers a powerful set of tools for the input, management, and output of data, whereas computational intelligence is used for the analysis and the classification of the data. The proposed methodology is applied to the municipality of Athens, in Greece. Finally the advantages and disadvantages of the approach are discussed.	en
heal.publisher	PION LTD	en
heal.journalName	Environment and Planning B: Planning and Design	en
dc.identifier.doi	10.1068/b1296	en
dc.identifier.isi	ISI:000188876300004	en
dc.identifier.volume	31	en
dc.identifier.issue	1	en
dc.identifier.spage	39	en
dc.identifier.epage	49	en