Chloropleth map of constituencies: how to evade visual deception
Por um escritor misterioso
Last updated 22 fevereiro 2025
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Hi everybody! I am doing a map of proposed multi-member-constituencies for the German federal parliament. Nr. 1 to 43 denote the constituencies and the greyscales the mean district size (magnitude). Constituency Nr. 1 and Nr. 11 have the some colour, but Nr. 1 looks way more darker, since the neighboring constituencies of Nr. 1 have a lighter grayscale than the neighboring constituency of Nr. 11. So in fact, a classicial example of visual deception. But what can I do about it? Or do I have
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3 Cartography and Visualisation I Geocomputation 2020-2021 Work Book
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Data Visualization
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What to consider when creating choropleth maps
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VisGuides
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Multiple continuous color scales in a choropleth map - 📊 Plotly Python - Plotly Community Forum
Map - Junk Charts
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maps – Water Programming: A Collaborative Research Blog
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A Complete Guide to Misleading Election Maps - Bloomberg
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VisGuides
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OC] Don't trust a choropleth mapevidence from Switzerland! ;-) : r/dataisbeautiful
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Beware of Choropleth Maps! ← Winwaed Blog
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VisGuides
Choropleth Map – Visually
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Cartonerd: 2017
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Data Visualization
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