#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/

#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/

#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/

#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.

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.

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.

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

🚀 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

🚀 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

🚀 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

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

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

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/

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/

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/

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 .

💻 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 .

💻 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 .

💻 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

@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

@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

@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/

#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/

#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/

#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.

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.

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 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 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 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.

#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.

#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.

#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/

🚀 #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/

🚀 #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/

🚀 #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

🚀 #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

🚀 #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

🚀 #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

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

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

#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

#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

#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

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