Data classification methods for preserving spatial patterns
Jochen Schiewe
TL;DR: Researchers propose a task-oriented data classification method to preserve spatial patterns in choropleth maps, developing algorithms for specific patterns such as extreme values, spatial clusters, and hot/cold spots, to ensure accurate representation of spatial relationships.
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Abstract: The primary purpose of choropleth maps is to display or even to emphasize special relationships or patterns in the spatial distribution of attribute values. However, because classification methods commonly used and implemented in software packages (such as equidistance, quantiles, Jenks, etc.) are data-driven, a preservation of such spatial patterns is not guaranteed. Instead of such a data-driven approach in the following a task-oriented procedure is pursued: For typical patterns (local and global extreme values, large value differences to neighbours, spatial clusters, hot/cold spots) specific algorithms have been developed, implemented and tested.
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References
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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Data Classification for Highlighting Polygons with Local Extreme Values in Choropleth Maps
Jochen Schiewe
- 02 Jul 2017
TL;DR: A new method (called PLEX) is presented for the preservation and highlighting of local extreme values in choropleth maps, and the application and the effectiveness of this method will be demonstrated using real-world examples.
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Issues of Change Detection in Animated Choropleth Maps
TL;DR: This article identifies relevant limitations of the human visual system that pertain to animated map reading, including change blindness and foveal versus peripheral attention, and introduces methods to quantify the magnitude of change that separates individual scenes within choropleth animations.