#spanishoddata — Public Fediverse posts

#rstats #spanishoddata will be presented next week at the MNO-MINDS ESSnet Project Final Conference https://cros.ec.europa.eu/event/mno-minds-final-conference at OECD office in Paris.

𝐬𝐩𝐚𝐧𝐢𝐬𝐡𝐨𝐝𝐝𝐚𝐭𝐚 is a package to access Spanish Open Mobility Big Data by Ministerio de Transportes y Movilidad Sostenible in a reproducible way that is analysis ready. Get it and read codebooks and flow visualization guides here https://ropenspain.github.io/spanishoddata/

Here's an ad that Google Opal created for #rstats #spanishoddata https://ropenspain.github.io/spanishoddata/ The flows map in the end is not so good, but the overall idea of the package is represented quite well. Quickly get OD flows from Spanish big open human mobility data.

🚀 𝘀𝗽𝗮𝗻𝗶𝘀𝗵𝗼𝗱𝗱𝗮𝘁𝗮 0.2.0 is here. As before, you are getting nicely formatted Open Mobility Big Data released by the Spanish Ministry of Transport and Sustainable Mobility (MITMS) in a reproducible way. #rstats #opendata #HumanMobility #spanishoddata

- downloads more reliable
- file verification,
- improved docs
- quickly getting daily pre-aggregated data is working again
- more...

Get the package: https://ropenspain.github.io/spanishoddata/

Full change log: https://ropenspain.github.io/spanishoddata/news/index.html

Open human mobility data in Spain is available NOW, thanks to Ministerio de Transportes y Movilidad Sostenible, Nommon directly at https://www.transportes.gob.es/ministerio/proyectos-singulares/estudios-de-movilidad-con-big-data/opendata-movilidad and via #rstats package #spanishoddata https://ropenspain.github.io/spanishoddata/

Similar data across the EU might become available in the coming years as part of official regular statistics, thanks the methodology and tools developed by Positium, Nommon and their partners in the MULTI-MNO project: https://cros.ec.europa.eu/landing-page/multi-mno-project

On June 4th, 2025, I will be speaking at @geomob in Berlin about open human mobility data in Spain and the EU, and its practical and scientific applications. #geomobBER . Attendance is free, just register at https://thegeomob.com/post/june-4th-2025-geomobber-details . I will briefly mention #rstats #spanishoddata too, of course: https://ropenspain.github.io/spanishoddata/

💻 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 .

@rOpenSci Even outside the events such as this mini-hackathon, feel free to reach out to me for a video call to work on any of my packages if you are interested. Issues for #rJavaEnv ( https://github.com/search?q=label%3Aro-hackathon-2025+repo%3Ae-kotov%2FrJavaEnv+&type=issues ) and for #spanishoddata ( https://github.com/search?q=label%3Aro-hackathon-2025+repo%3ArOpenSpain%2Fspanishoddata+&type=issues ). #rstats

#spanishoddata #rstats is on Joseph Rickert's (https://rworks.dev/) top 40 list for December 2024 https://rworks.dev/posts/december-2024-top-40-new-cran-packages/

Get open human mobility data for Spain via #spanishoddata:

https://ropenspain.github.io/spanishoddata/

Here is some reporting following the preliminary tests of progress bar in #rstats #spanishoddata + #duckdb: https://github.com/rOpenSpain/spanishoddata/issues/124#issuecomment-2580860533 So far - the progress bar implementation in the latest pull request to @duckdb for R is not very useful, but hopefully it will get better.

#DuckDB for R pull request for progress bar: https://github.com/duckdb/duckdb-r/pull/951

Preliminary tests of #spanishoddata with #DuckDB progress bar: https://github.com/duckdb/duckdb-r/pull/951#issuecomment-2574111216

To track when progress bar becomes available in #spanishoddata, follow the issue: https://github.com/rOpenSpain/spanishoddata/issues/124

Thanks to Bruno Tremblay for working on this feature for DuckDB R package!

#DuckDB #rstats that powers #spanishoddata will soon get the progress bar indication for long running queries when getting and converting human mobility flows based on Mobile phone signalling and CDR data. We are on top of this development and already testing #spanishoddata, so that we implement this feature as soon as it is shipped with the CRAN release of #DuckDB.

🚀 #rstats #spanishoddata is now featured on the Ministerio de Transportes y Movilidad Sostenible's website as one of the alternative ways to access the open human mobility data for Spain: https://www.transportes.gob.es/ministerio/proyectos-singulares/estudios-de-movilidad-con-big-data/opendata-movilidad
#gischat #humanmobility
#spanishoddata homepage is here: https://ropenspain.github.io/spanishoddata/

🚀 #spanishoddata #rstats is on CRAN! 🥳 #gischat
Download it as usual: install.packages('spanishoddata')
Read our guides in the articles section of the website: https://ropenspain.github.io/spanishoddata/
Report bugs at: https://github.com/rOpenSpain/spanishoddata/issues
Thanks to @robinlovelace and Eugeni Vidal-Tortosa

You can also try it online. Just go to the repository below, launch it with "launch binder" button and in 2-3 minutes RStudio with preinstalled #spanishoddata package will be available for you to play with:

https://github.com/e-kotov/spanishoddata-playground

#spanishoddata #rstats is now 13 times faster to get basic origin-destination flows count at municipal level for a single day. All thanks to the new function that works directly with #GraphQL API of https://mapas-movilidad.transportes.gob.es/ by Ministerio de Transportes y Movilidad Sostenible. See the time comparison below. Just 3-4 seconds you have the data! Previously it was almost a minute!

New tutorial on how to use this new function is here:

https://ropenspain.github.io/spanishoddata/articles/quick-get.html

I found #spanishoddata ( https://ropenspain.github.io/spanishoddata/ ) on this fancy hex sticker t-shirt by @schochastics ( https://datasci.social/@schochastics@fosstodon.org/113386903579060571 ) . #rJavaEnv ( https://www.ekotov.pro/rJavaEnv/ ) must be on the back. Fun thing you can do this weekend is try to find your #rstats package. Full size source img: https://github.com/schochastics/hexshirt/blob/main/hexmap_original.png

#30DayMapChallenge #Choropleth #DANA #Spain REVISED WORDING: Impact of DANA on potential displacement from the usual residence in Spain. Interactive map: https://www.ekotov.pro/2024-30DayMapChallenge/16-choropleth.html | Code: https://github.com/e-kotov/2024-30DayMapChallenge/blob/main/R/16-choropleth.R #rstats #spanishoddata (https://ropenspain.github.io/spanishoddata/ ) + #mapgl (by https://www.linkedin.com/in/walkerke )

#30DayMapChallenge #aNewTool #rstats #spanishoddata ( https://ropenspain.github.io/spanishoddata/ ) meets #mapgl and #flowmapper to show differences between daily home-work-home trips and all other frequent and infrequent trips in Barcelona.

Not only trying a new tool (#mapgl #rstats, thanks to https://github.com/walkerke), but also contributing to a new tool (#rstats #flowmapper, thanks to https://github.com/JohMast).

#30DayMapChallenge #TimeAndSpace Thanks to the new open mobility data for October 2024 by Ministerio de Transportes y Movilidad Sostenible and Nommon, we can now see the actual impact of #DANA in Valencia. It is dramatic... If you want to study the data on your own, you can do so easily by getting the data from the Ministry ( https://www.transportes.gob.es/ministerio/proyectos-singulares/estudios-de-movilidad-con-big-data/opendata-movilidad ) or with facilitation of the #spanishoddata #rstats package ( https://ropenspain.github.io/spanishoddata/ ).

UPDATE: ...fixed 2025 to 2024...

#30DayMapChallenge #PenAndPaper obviously, I would not be in mapping without digital tools, I am a lousy hand drawer. Get open mobility data with #rstats #spanishoddata at https://github.com/rOpenSpain/spanishoddata/ . And don't be shy to give us a GitHub star if you like it. We don't have tutorials how to draw mobility flows by hand, but we do explain how to easily do it with code in R. E.g. our tutorial for static maps https://ropenspain.github.io/spanishoddata/articles/flowmaps-static.html

#30DayMapChallenge #AI_only #HumanMobility I tried to teach DALL-E about locations of Spanish cities. I even gave it a real map to learn. It failed miserably ;) To make an actual map of human mobility from real data in Spain use #rstats #spanishoddata package https://ropenspain.github.io/spanishoddata/

code for the plot: https://github.com/e-kotov/2024-30DayMapChallenge/blob/main/R/03-polygons.R
#rstats #spanishoddata package to access the data: https://ropenspain.github.io/spanishoddata/
original data: https://www.transportes.gob.es/ministerio/proyectos-singulares/estudios-de-movilidad-con-big-data/opendata-movilidad

#30DayMapChallenge #polygons #Spain #DANA #humanmobility #movilidad up to 2% of typical daily mobility in Spain was affected by DANA as of 31 October, based on open mobility data for 2023 and road closures data. Via: #rstats #spanishoddata https://ropenspain.github.io/spanishoddata/

#30DayMapChallenge #points

I looked at the ratio of male/female commuters. Seems like in most urban centers the commuting flows are dominated by women.

Get this data and explore yourself with #rstats #spanishoddata package https://ropenspain.github.io/spanishoddata/ (by @EgorKotov @robinlovelace, Eugeni Vidal Tortosa)

Open Mobility Data: Ministerio de Transportes y Movilidad Sostenible, Nommon

My repo with code is here: https://github.com/e-kotov/2024-30DayMapChallenge

#30DayMapChallenge #points I looked at the ratio of male/female commuters. Seems like in most urban centers the commuting flows are dominated by women. Explore the data yourself with #rstats #spanishoddata package ropenspain.github.io/spanishoddata/ data: Ministry of Transport (Spain), Nommon

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