Chloropleth map of constituencies: how to evade visual deception
Por um escritor misterioso
Descrição
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
Beware of Choropleth Maps! ← Winwaed Blog
Map - Junk Charts
Cartonerd: 2017
Cartonerd: 2017
choropleth maps Musings on Maps
electoral divides
Maps Mania: October 2015
OC] Don't trust a choropleth mapevidence from Switzerland! ;-) : r/dataisbeautiful
Different US Election Maps Tell 'Different Versions of the Truth
Engora Data Blog: Choropleth maps - pretty but misleading
Maps Mania: October 2021
Beware of Choropleth Maps! ← Winwaed Blog
How to Use Choropleth maps for Visualization
Data Visualization
de
por adulto (o preço varia de acordo com o tamanho do grupo)