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
Map - Junk Charts
mega-regions Musings on Maps
choropleth maps Musings on Maps
Atlas of Cyberspace by Martin Dodge - Issuu
A Complete Guide to Misleading Election Maps - Bloomberg
maps – Water Programming: A Collaborative Research Blog
Cartonerd: 2017
A Complete Guide to Misleading Election Maps - Bloomberg
How to Make a US County Thematic Map Using Free Tools
How to Avoid Being Fooled by Bad Maps - Bloomberg
Trustworthy COVID-19 Mapping: Geo-spatial Data Literacy Aspects of Choropleth Maps
How To Visualize the Coronavirus Pandemic with Choropleth Maps, by Terence Shin, MSc, MBA
OC] Don't trust a choropleth mapevidence from Switzerland! ;-) : r/dataisbeautiful
de
por adulto (o preço varia de acordo com o tamanho do grupo)