Bivariate Choropleth Maps: A How-to Guide - Joshua Stevens
▻http://www.joshuastevens.net/cartography/make-a-bivariate-choropleth-map
This post introduces the idea of bivariate choropleth mapping and demonstrates a technique for creating your own.
#cartographie #choroplethe #tutoriel #qgis via @phnk
With real pieces of #bigfoot inside
Et la réponse n’est pas évidente.
Joshua Stevens - ’Squatch Watch: 92 Years of Bigfoot Sightings in the US and Canada
▻http://www.joshuastevens.net/visualization/squatch-watch-92-years-of-bigfoot-sightings-in-us-and-canada
Right away you can see that sightings are not evenly distributed. At first glance, it looks a lot like a map of population distribution. After all, you would expect sightings to be the most frequent in areas where there are a lot of people. But a bivariate view of the data (right) shows a very different story. There are distinct regions where sightings are incredibly common, despite a very sparse population. On the other hand, in some of the most densely populated areas sasquatch sightings are exceedingly rare.
I don’t have a really good explanation for this. These are sasquatch sightings we’re talking about and I’m way out of my area of expertise (do bigfoot experts exist?). But it’s clear that if the legendary biped is real, it’s thriving out west.
Ça demande quand même pas mal de concentration…
Il y a longtemps que j’essaye diverses solutions, je n’ai pas encore trouvé quelque chose qui soit vraiment efficace. La superposition de deux couleurs est logique, ça semble cohérent et pourtant c’est très difficile à lire.