The #30DayMapChallenge 2022 starts tomorrow. In the last 2 years a lot of work has been put in @Stata to mainstream some of the map elements we find in other softwares. He is a ๐งต on the different types of maps one can make. If you want the code for any, just msg! Let's go ๐
The basic #spmap package can already do a lot! Here are some examples using standard spmap syntax.
These were made for the online #GIS tutorials earlier this year that were fairly well attended! Over 1400+ registrations and 500+ ppl online. Might repeat it again.
The #bimap package that actually was the result of the #30DayMapChallenge last year allows you to combine two variables to check for interesting spatial correlations.
Half through sorting the #dataviz bookmarks and still haven't found the links I am looking for (the curse of over bookmarking).
But here are 10+1 super amazing, interactive, and midn-blowing๐คฏ #environment, #climate, #trade, #emissions related websites that are just ๐คฉ
๐๐
1/ The #WorldBank's #SDG atlas covers each #SDG goal in detail with some great datavizzes inside each of them. Check it out! Really a lot of effort went into this.
A late night ๐งต on some tips for making grayscale (BW) & colorblind (cblind) friendly graphs in @Stata. BW in case people print out papers, and cblind to make sure documents are "barrier free".
Graphs have 3 elements that we can control: colors, line patterns, & symbols.
Let's start with colors: Whatever color scheme we use, we can check whether it will pass the BW and cblind tests. This can be easily tested using the palettes package. Install these, if you haven't already:
There are three types of common color-blindnesses that can we can check in #Stata: "Protanopia" & "Deuteranopia" where shades of red and green are not discernable, & "Tritanopia" where blue-green, purple-red, yellow-pink are hard to differentiate.