Using Genetic Algorithms to Create Multicriteria Class Intervals for Choropleth Maps.

Details of the design, implementation, and evaluation of an innovative approach to classification for choropleth maps through the use of a genetic algorithm are presented. It is noted that such an approach to classification places class-interval selection in a multicriteria framework.

Bibliographic Details
Published in:	Annals of the Association of American Geographers Vol. 93; no. 3; pp. 595 - 624
Main Authors:	Armstrong, Marc P., Xiao, Ningchuan, Bennett, David A.
Format:	Article
Published:	Taylor & Francis Ltd September 2003
Subjects:	Statistical maps Genetic algorithms Geography > Methodology Geography > Statistical methods
Online Access:	View this record in EBSCOhost