💻 One of the tutorials at @IC2S2 2025 in Norrköping is our tutorial on analyzing and visualizing large open human mobility data in Spain using R #rstats: https://www.ic2s2-2025.org/tutorials/

It will cover #spanishoddata (ropenspain.github.io/spanishoddata/, by @EgorKotov , @robinlovelace , Eugeni Vidal Tortosa),
#flowmapper (https://github.com/JohMast/flowmapper by Johannes Mast), #flowmapblue (https://flowmapblue.github.io/flowmapblue.R/ by @ilyabo), with under the hood data crunching using @duckdb #DuckDB .

Time resolution of this mobility data is also incredible. See the animation. Then do it yourself, just follow the guide: https://ropenspain.github.io/spanishoddata/articles/flowmaps-interactive.html

Credits:
data: Ministerio de Transportes y Movilidad Sostenible, Nommon
data interface (#rstats package #spanishoddata): @EgorKotov, @robinlovelace
data vis engine ((#rstats package #flowmapblue): Ilya Boyandin

Backlink to previous post:
https://datasci.social/@EgorKotov/113112786031045838

I could watch this all day. But instead I am presenting it at #EuroCarto #EuroCarto2024 (@geodepartment) tomorrow. To get this mobility data (#rstats package #spanishoddata) and produce similar visualisation (#rstats package #flowmapblue) and animation, see our guide: https://ropenspain.github.io/spanishoddata/articles/flowmaps-interactive.html

Credits:
data: Spanish Ministry of Transport and Nommon
data interface: @EgorKotov, @robinlovelace
data vis engine: Ilya Boyandin

backlink to previous post:
https://datasci.social/@EgorKotov/113109485779332516