Abstract
Empirical Study on Recognition of Spatial Patterns in Choropleth Maps Using Hexagonal Shaped Units
Highlights
Choropleth maps with eight enumeration unit size (EUS) were compared to a symbol map
A generalization level that is too large, expressed in a choropleth map by an EUS that is too large, causes those spatial patterns in the data to be lost as the resulting image is too general
We focused on the issue concerning whether the ability to recognize spatial patterns is related to the hexagonal EUS, defined by the number of pixels
Summary
Choropleth maps with eight EUSs were compared to a symbol map. For this purpose, nine maps were designed. Abstract: Optimal enumeration unit size (EUS) plays an essential role in choropleth map generalization. An EUS that is too small (i.e. too small a generalization level) results in a dispersed image and a difficulty with perceiving characteristic elements in the data (Robinson et al 1984).
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