How to choose an interpolation for your color scale - Datawrapper Blog
▻https://blog.datawrapper.de/interpolation-for-color-scales-and-maps
Which interpolation you choose for your color scale has a massive impact on how the data is perceived, how well your statement is communicated, and how intuitively the reader understands the data.
“Interpolation? What’s that?” you might ask. It’s a method to assign each of your data values to a certain color. In Datawrapper, you can choose an interpolation for both stepped (classed) and continuous (unclassed) color scales. (If you’re not sure which type of scale to use, visit our article When to use classed and when to use unclassed color scales.)
In this article, we focus on the effect of interpolations on choropleth maps like the one above — but you can also use classed and unclassed color scales for symbol maps, heat maps, and wherever else you’re trying to map data to a color gradient.
#discrétisation #palette_de_couleurs #échelle_de_couleurs
revue d’ensemble avec visualisation des résultats de chaque choix
note : tout logiciel de #cartographie digne de ce nom contient un module permettant d’opérer ce paramétrage.
Exemple ci-dessous : Magrit
