Journal ArticleDOI
Visual Aspects of Class Intervals in Choroplethic Mapping
TLDR
In this article, the visual aspects of class intervals in choroplethic mapping were studied in tests which involved a series of five chorephic maps using the same data but different methods of classing, and the subjects were asked to rank the maps in the order of preference for the final map production.Abstract:
Visual aspects of class intervals in choroplethic mapping were studied in tests which involved a series of five choroplethic maps using the same data but different methods of classing. The subjects were asked to rank the maps in the order of preference for the final map production, and to provide explanations for their rankings. The study finds that the grouping of adjoining counties and the number of counties in each statistical class are the most important criteria to the subjects.read more
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Journal ArticleDOI
Evaluation of Methods for Classifying Epidemiological Data on Choropleth Maps in Series
TL;DR: The authors compared seven methods using responses by fifty-six subjects in a two-part experiment involving nine series of U.S. mortality maps and found that matched legends across a series of maps (when possible) increased map-comparison accuracy by approximately 28 percent.
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Using Genetic Algorithms to Create Multicriteria Class Intervals for Choropleth Maps
TL;DR: This article designs, implements, and evaluates a new approach to classification that places class-interval selection into a multicriteria framework and considers not only number–line relationships, but also the area covered by each class, the fragmentation of the resulting classifications, and the degree to which they are spatially autocorrelated.
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Unclassed matrix shading and optimal ordering in hierarchical cluster analysis
TL;DR: The procedure involves the use of computer generated shaded matrices based on unclassed choropleth mapping in conjunction with a strategy for matrix reorganization that incorporates a combination of techniques for seriation and the ordering of binary trees.
Journal ArticleDOI
Comparison of complexity measures for choropleth maps
TL;DR: In this article, the authors present a comparison of six map complexity measures (aggregation index, compactness index, boundary contrast index, fragmentation index and size disparity index) using 90 different choropleth maps.
Journal ArticleDOI
Illuminated Choropleth Maps
TL;DR: In this paper, the authors present a method designed to use colors for choropleth classes and soft shadows to show intraclass variations associated with adjacent or nearby polygons.