Supporting the Comparison of Choropleth Maps Using an Evolutionary Algorithm

Authors: Xiao, Ningchuan; Armstrong, Marc P.

Source: Cartography and Geographic Information Science, Volume 32, Number 4, October 2005 , pp. 347-358(12)

Publisher: Cartography and Geographic Information Society

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Abstract:

Choropleth maps can be used to compare the patterns exhibited by different spatial variables. In this paper, we develop an evolutionary algorithm that can be used to generate classifications that allow a user to explore the spatial patterns of multiple choropleth maps in terms of their visual correlation and the equality of area contained in each class. Synthetic and census data are used to demonstrate the effectiveness of our approach.

Keywords: CHOROPLETH MAPPING; VISUAL CORRELATION; MULTI-OBJECTIVE OPTIMIZATION; VISUALIZATION

Document Type: Research article

DOI: 10.1559/152304005775194755

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