Where the world want to go on holiday
— I Fucking Love Maps (@IFckingLoveMaps) February 17, 2020
Source: https://t.co/zuqTFJ1BpX pic.twitter.com/Z2qJOKq1lL
Dataviz art/skill
Maps with R
Ilya Kashnitsky
Barcelona Summer School of Demography 2024
2024-07-18
@IFckingLoveMaps
Outdonesia pic.twitter.com/chhVKDoHlB
— Terrible Maps (@TerribleMaps) April 25, 2022
Explaining how seasons work to my 4yo daughter Sophia during the Sunday breakfast. pic.twitter.com/rsFplRQAJN
— Ilya Kashnitsky — bsky @ikashnitsky.phd (@ikashnitsky) December 9, 2018
Proud dad moment. This is a world map that my 7yo daughter sketched in half a minute to illustrate an argument she had had with a classmate on how day and night shift 🤩🗺️ pic.twitter.com/rxydpODg6A
— Ilya Kashnitsky — bsky @ikashnitsky.phd (@ikashnitsky) May 31, 2022
With R, maps became yet another type of dataviz
Main take-away: Day 2
— Trust me, I'm a "Biologist" (@TrustBiologist) June 13, 2021
Main take-away: Day 3
Map projections
Mercator explained
Animating the Mercator projection to the true size of each country in relation to all the others.
— Neil Kaye (@neilrkaye) January 8, 2019
Now with added Antarctica!#dataviz #maps #GIS #projectionmapping #mapping pic.twitter.com/VNDRSjOpXe
We live by the #Mercator projection of the world. Check yourself the true size of your country 🌍
— Zbigniew PISARSKI (@Pisarski) October 17, 2018
For example, Greenland and Africa are shown in Mercator projection as roughly the same size, although in reality Africa is about fourteen times larger!
By @neilrkaye pic.twitter.com/km1tJO80qX
New fancy projection (Waterman Butterfly)
behold, my greatest invention: the Mercator Globe pic.twitter.com/AcY0XqBMCp
— ash 🐱💙☀️ (@ashastral) December 11, 2018
Are we too focused on areas?
As many of you noticed the map I used is not using the proper vote results from the 2016 U.S. presidential election. I have been mislead by the map posted by Lara Trump which shows more red than it should be. Here is an updated version of the GIF: pic.twitter.com/et2P9qn5P3
— Karim Douïeb (@karim_douieb) October 9, 2019
Stärkste Partei pro Gemeinde, Nationalratswahl 2019.
— NZZ Visuals (@nzzvisuals) October 21, 2019
Stärkste Partei pro Gemeinde, skaliert nach Einwohnerzahl.
Daten: @StatSchweiz. Code: @rkaravia. pic.twitter.com/oecFJblkzP
Sources of geodata
google “download shapefile” =)
Where to go next?
Packages to explore
I've had another go at calculating a composite risk score for every neighborhood (MSOA) in England accounting for age-based mortality risk and vaccine coverage.
— Colin Angus (@VictimOfMaths) June 14, 2021
The darkest red areas here are those facing the highest mortality risks if they see high COVID case numbers... pic.twitter.com/Qzztkq8VSp