Anita Graser 🇪🇺🇺🇦🇬🇪<p>If you're at <a href="https://fosstodon.org/tags/AGIT2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AGIT2025</span></a>, I'd love to see you at our <a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataScience</span></a> workshop focused on <a href="https://fosstodon.org/tags/PublicTransport" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PublicTransport</span></a> tomorrow morning 🌄 </p><p>09:00-10:15 Session 1A: WS: Mobility Data Science & KI – Potenziale für den öffentlichen Verkehr</p><p><a href="https://fosstodon.org/tags/AI4PT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI4PT</span></a> <a href="https://fosstodon.org/tags/MovementDataAnalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MovementDataAnalytics</span></a></p>
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#mobilitydatascience
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Anita Graser 🇪🇺🇺🇦🇬🇪<p>🤩 <a href="https://fosstodon.org/tags/MobilityDataAnalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataAnalytics</span></a> & <a href="https://fosstodon.org/tags/GIScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GIScience</span></a> all around:</p><p>Attending the <span class="h-card" translate="no"><a href="https://bird.makeup/users/emeraldseu" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>emeraldseu</span></a></span> GA today. Presented progress on <a href="https://fosstodon.org/tags/Trajectools" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Trajectools</span></a> and our <a href="https://fosstodon.org/tags/explainableAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>explainableAI</span></a> & <a href="https://fosstodon.org/tags/activeLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>activeLearning</span></a> for <a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataScience</span></a>. While simultaneously traveling to <a href="https://fosstodon.org/tags/AGIT2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AGIT2025</span></a> 🚄</p>
Anita Graser 🇪🇺🇺🇦🇬🇪<p>🎉 New <span class="h-card" translate="no"><a href="https://fosstodon.org/@movingpandas" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>movingpandas</span></a></span> 0.22 and <a href="https://fosstodon.org/tags/Trajectools" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Trajectools</span></a> 2.6 just landed</p><p>Over 50% runtime reduction for many <a href="https://fosstodon.org/tags/MovementDataAnalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MovementDataAnalytics</span></a> tasks 📉</p><p><a href="http://anitagraser.com/2025/05/17/speed-up-your-analytics-with-the-new-movingpandas-0-22-and-trajectools-2-6/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">anitagraser.com/2025/05/17/spe</span><span class="invisible">ed-up-your-analytics-with-the-new-movingpandas-0-22-and-trajectools-2-6/</span></a></p><p><a href="https://fosstodon.org/tags/GISchat" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GISchat</span></a> <a href="https://fosstodon.org/tags/Mobility" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Mobility</span></a> <a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataScience</span></a></p>
Anita Graser 🇪🇺🇺🇦🇬🇪<p>And here's <span class="h-card" translate="no"><a href="https://fosstodon.org/@martinfleis" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>martinfleis</span></a></span> et al.'s new street network generalization tool:</p><p><a href="https://uscuni.org/neatnet/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">uscuni.org/neatnet/</span><span class="invisible"></span></a></p><p><a href="https://arxiv.org/abs/2504.16198" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2504.16198</span><span class="invisible"></span></a></p><p><a href="https://fosstodon.org/tags/giscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>giscience</span></a> <a href="https://fosstodon.org/tags/gischat" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>gischat</span></a> <a href="https://fosstodon.org/tags/mobility" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mobility</span></a> <a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataScience</span></a></p>
Anita Graser 🇪🇺🇺🇦🇬🇪<p>Another interesting new paper on street network analysis, HT <span class="h-card" translate="no"><a href="https://mas.to/@gboeing" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>gboeing</span></a></span> </p><p>💯 it's surprisingly hard to count intersections </p><p><a href="https://onlinelibrary.wiley.com/doi/10.1111/tgis.70037" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">onlinelibrary.wiley.com/doi/10</span><span class="invisible">.1111/tgis.70037</span></a></p><p><a href="https://fosstodon.org/tags/giscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>giscience</span></a> <a href="https://fosstodon.org/tags/gischat" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>gischat</span></a> <a href="https://fosstodon.org/tags/mobility" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mobility</span></a> <a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataScience</span></a></p>
Anita Graser 🇪🇺🇺🇦🇬🇪<p><span class="h-card" translate="no"><a href="https://mastodon.social/@gicycle" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>gicycle</span></a></span> <span class="h-card" translate="no"><a href="https://mastodon.online/@just_mobility" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>just_mobility</span></a></span> </p><p>Direct links for convenience ... </p><p>📄 Paper: <a href="https://www.mdpi.com/2071-1050/17/8/3634" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">mdpi.com/2071-1050/17/8/3634</span><span class="invisible"></span></a></p><p>:github: Code: <a href="https://github.com/plus-mobilitylab/netascore/tree/v0.9.0" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/plus-mobilitylab/ne</span><span class="invisible">tascore/tree/v0.9.0</span></a></p><p><a href="https://fosstodon.org/tags/Walkability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Walkability</span></a> <a href="https://fosstodon.org/tags/HumanMobility" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HumanMobility</span></a> <a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataScience</span></a> <a href="https://fosstodon.org/tags/GIScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GIScience</span></a> <a href="https://fosstodon.org/tags/GISchat" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GISchat</span></a> <a href="https://fosstodon.org/tags/OSM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OSM</span></a></p>
Anita Graser 🇪🇺🇺🇦🇬🇪<p>🥳 New versions of <span class="h-card" translate="no"><a href="https://fosstodon.org/@movingpandas" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>movingpandas</span></a></span> and <a href="https://fosstodon.org/tags/Trajectools" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Trajectools</span></a> have just landed:</p><p>🚢🚚🚲🦅 <a href="https://fosstodon.org/tags/MovingPandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MovingPandas</span></a> 0.21.3 <a href="https://github.com/movingpandas/movingpandas/releases/tag/v0.21.3" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/movingpandas/moving</span><span class="invisible">pandas/releases/tag/v0.21.3</span></a></p><p>:qgis: Trajectools 2.5 <a href="https://codeberg.org/movingpandas/trajectools/releases/tag/v2.5" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">codeberg.org/movingpandas/traj</span><span class="invisible">ectools/releases/tag/v2.5</span></a></p><p>🙏 Please update your MovingPandas install to get all the improvements in <a href="https://fosstodon.org/tags/QGIS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>QGIS</span></a> Trajectools <a href="https://plugins.qgis.org/plugins/processing_trajectory/#plugin-versions" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">plugins.qgis.org/plugins/proce</span><span class="invisible">ssing_trajectory/#plugin-versions</span></a></p><p><a href="https://fosstodon.org/tags/GISChat" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GISChat</span></a> <a href="https://fosstodon.org/tags/MovementDataAnalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MovementDataAnalytics</span></a> <a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataScience</span></a> <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a></p>
Anita Graser 🇪🇺🇺🇦🇬🇪<p>The quest for a fair TimeGPT benchmark</p><p>At the end of yesterday's <a href="https://fosstodon.org/tags/TimeGPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TimeGPT</span></a> for mobility post, we concluded that TimeGPT's trainingset probably included a copy of the popular BikeNYC timeseries dataset and that, therefore, we were not looking at a fair comparison ...</p><p><a href="http://anitagraser.com/2025/03/29/the-quest-for-a-fair-timegpt-benchmark/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">anitagraser.com/2025/03/29/the</span><span class="invisible">-quest-for-a-fair-timegpt-benchmark/</span></a></p><p><a href="https://fosstodon.org/tags/GeoAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GeoAI</span></a> <a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataScience</span></a> <a href="https://fosstodon.org/tags/FoundationModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FoundationModels</span></a> <a href="https://fosstodon.org/tags/GISChat" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GISChat</span></a></p>
Anita Graser 🇪🇺🇺🇦🇬🇪<p><a href="https://fosstodon.org/tags/TimeGPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TimeGPT</span></a> for <a href="https://fosstodon.org/tags/mobility" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mobility</span></a>: Can foundation models outperform classic machine learning models for flow predictions?</p><p>tldr; Maybe. Preliminary results certainly are impressive. </p><p><a href="http://anitagraser.com/2025/03/28/can-foundation-models-outperform-classic-machine-learning-models-for-mobility-predictions/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">anitagraser.com/2025/03/28/can</span><span class="invisible">-foundation-models-outperform-classic-machine-learning-models-for-mobility-predictions/</span></a></p><p><a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataScience</span></a> <a href="https://fosstodon.org/tags/gischat" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>gischat</span></a> <a href="https://fosstodon.org/tags/urbanmobility" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>urbanmobility</span></a> <a href="https://fosstodon.org/tags/geoai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>geoai</span></a> <a href="https://fosstodon.org/tags/foundationmodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>foundationmodels</span></a></p>
Anita Graser 🇪🇺🇺🇦🇬🇪<p>Only one more week to submit to ACM TSAS special issue on Urban Mobility <a href="https://dl.acm.org/pb-assets/static_journal_pages/tsas/pdf/TSAS_Special_Issue_Urban_Mobility-1737749682787.pdf" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">dl.acm.org/pb-assets/static_jo</span><span class="invisible">urnal_pages/tsas/pdf/TSAS_Special_Issue_Urban_Mobility-1737749682787.pdf</span></a></p><p>HT <a href="https://mastodon.social/@luis_de_sousa/113946946892555809" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">mastodon.social/@luis_de_sousa</span><span class="invisible">/113946946892555809</span></a></p><p><a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataScience</span></a> <a href="https://fosstodon.org/tags/MovingPandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MovingPandas</span></a></p>
Anita Graser 🇪🇺🇺🇦🇬🇪<p>Today I'm at <a href="https://fosstodon.org/tags/edbticdt2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>edbticdt2025</span></a> to present MobiML, our latest contribution to facilitate <a href="https://fosstodon.org/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> from movement data, building on <span class="h-card" translate="no"><a href="https://fosstodon.org/@movingpandas" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>movingpandas</span></a></span>, <a href="https://fosstodon.org/tags/pymeos" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pymeos</span></a>, and others</p><p>More details:<br><a href="https://github.com/movingpandas/mobiml" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/movingpandas/mobiml</span><span class="invisible"></span></a></p><p><a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataScience</span></a> <a href="https://fosstodon.org/tags/movingpandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>movingpandas</span></a> <a href="https://fosstodon.org/tags/bmda2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bmda2025</span></a></p>
MovingPandas<p>Even more human <a href="https://fosstodon.org/tags/MovementBehavior" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MovementBehavior</span></a> research:</p><p>Elkin-Frankston et al. (2025). Beyond boundaries: a location-based toolkit for quantifying group dynamics in diverse contexts. Cogn. Research 10, 10 (2025). <br><a href="https://doi.org/10.1186/s41235-025-00617-6" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1186/s41235-025-006</span><span class="invisible">17-6</span></a></p><p>"We first segmented time periods when the group was in motion by identifying break periods using the stop detection feature from the MovingPandas Python package"</p><p><a href="https://fosstodon.org/tags/MovementDataAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MovementDataAnalysis</span></a> <a href="https://fosstodon.org/tags/MobilityDataAnalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataAnalytics</span></a> <a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataScience</span></a> <a href="https://fosstodon.org/tags/HumanMobility" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HumanMobility</span></a></p>
MovingPandas<p>New <a href="https://fosstodon.org/tags/IOT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IOT</span></a> research using yours truely:</p><p>Koszewski et al. (2025). Utilizing IoT Sensors and Spatial Data Mining for Analysis of Urban Space Actors’ Behavior in University Campus Space Design.<br><a href="https://doi.org/10.3390/s25051393" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.3390/s25051393</span><span class="invisible"></span></a></p><p> "Trajectories were processed by the MovingPandas Python library, which offers several valuable processing algorithms"</p><p>For the full list of publications we're aware of, check out:</p><p><a href="https://github.com/movingpandas/movingpandas/blob/main/README.md#scientific-publications-using-movingpandas" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/movingpandas/moving</span><span class="invisible">pandas/blob/main/README.md#scientific-publications-using-movingpandas</span></a></p><p><a href="https://fosstodon.org/tags/MovementDataAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MovementDataAnalysis</span></a> <a href="https://fosstodon.org/tags/MobilityDataAnalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataAnalytics</span></a> <a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataScience</span></a></p>
Anita Graser 🇪🇺🇺🇦🇬🇪<p>The EMERALDS project <span class="h-card" translate="no"><a href="https://bird.makeup/users/emeraldseu" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>emeraldseu</span></a></span> is hosting an MLOps webinar "EMERALDS Data Infrastructure and Development Frameworks” on 21 February, at 11:30 CET, see <a href="https://emeralds-horizon.eu/events/emeralds-webinar-data-infrastructure-and-development-frameworks" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">emeralds-horizon.eu/events/eme</span><span class="invisible">ralds-webinar-data-infrastructure-and-development-frameworks</span></a></p><p>The talks explore the design and implementation of a dedicated <a href="https://fosstodon.org/tags/MLOps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MLOps</span></a> platform built with specialised <a href="https://fosstodon.org/tags/mobility" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mobility</span></a> libraries and tools. This platform is tailored to support ML engineers in the development and deployment of machine learning models for real-world applications</p><p><a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataScience</span></a></p>
Anita Graser 🇪🇺🇺🇦🇬🇪<p><a href="https://fosstodon.org/tags/Moveapps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Moveapps</span></a> is looking for a Technical Assistant (m/f/d) proficient in <a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RStats</span></a> and/or <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> to improve their <a href="https://fosstodon.org/tags/MovementDataAnalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MovementDataAnalytics</span></a> plattform </p><p><a href="https://www.mpg.de/24092603/technical-assistant-moveapps" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">mpg.de/24092603/technical-assi</span><span class="invisible">stant-moveapps</span></a></p><p><a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataScience</span></a> <a href="https://fosstodon.org/tags/MovementEcology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MovementEcology</span></a></p>
Anita Graser 🇪🇺🇺🇦🇬🇪<p>I've had smoother releases 🙃 </p><p>But hey, <a href="https://fosstodon.org/tags/MovingPandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MovingPandas</span></a> 0.21 is here <a href="https://github.com/movingpandas/movingpandas/releases" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/movingpandas/moving</span><span class="invisible">pandas/releases</span></a> </p><p>Make sure to update if you want to use the new <a href="https://fosstodon.org/tags/QGIS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>QGIS</span></a> <a href="https://fosstodon.org/tags/Trajectools" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Trajectools</span></a> plugin version which will be released soon 🆙 </p><p><a href="https://fosstodon.org/tags/MovementDataAnalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MovementDataAnalytics</span></a> <a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataScience</span></a> <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://fosstodon.org/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://fosstodon.org/tags/GISChat" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GISChat</span></a></p>
MovingPandas<p>New <a href="https://fosstodon.org/tags/bicycle" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bicycle</span></a> 🚲 research <a href="https://fosstodon.org/tags/preprint" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>preprint</span></a> using yours truly: </p><p>Skåntorp et al. (2024). Data-driven bicycle driving cycles via mixed-integer programming</p><p>"we utilized the <a href="https://fosstodon.org/tags/KalmanFilter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KalmanFilter</span></a> from the <a href="https://fosstodon.org/tags/MovingPandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MovingPandas</span></a> library"</p><p><a href="http://dx.doi.org/10.13140/RG.2.2.19928.10240" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">dx.doi.org/10.13140/RG.2.2.199</span><span class="invisible">28.10240</span></a></p><p>For the full list of publications we're aware of, check out:</p><p><a href="https://github.com/movingpandas/movingpandas/blob/main/README.md#scientific-publications-using-movingpandas" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/movingpandas/moving</span><span class="invisible">pandas/blob/main/README.md#scientific-publications-using-movingpandas</span></a></p><p><a href="https://fosstodon.org/tags/MixedIntegerProgramming" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MixedIntegerProgramming</span></a> <a href="https://fosstodon.org/tags/MovementDataAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MovementDataAnalysis</span></a> <a href="https://fosstodon.org/tags/MobilityDataAnalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataAnalytics</span></a> <a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataScience</span></a> <a href="https://fosstodon.org/tags/cycling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cycling</span></a> <a href="https://fosstodon.org/tags/ActiveMobility" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ActiveMobility</span></a> <a href="https://fosstodon.org/tags/TrajectoryData" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TrajectoryData</span></a></p>
Anita Graser 🇪🇺🇺🇦🇬🇪<p>Updated my collection of open source projects in the <a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataScience</span></a> / <a href="https://fosstodon.org/tags/MovementDataAnalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MovementDataAnalytics</span></a> with new findings from <a href="https://fosstodon.org/tags/SDSL2024" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SDSL2024</span></a></p><p><a href="https://github.com/anitagraser/movement-analysis-tools" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/anitagraser/movemen</span><span class="invisible">t-analysis-tools</span></a></p><p>Any more suggestions welcome</p><p><a href="https://fosstodon.org/tags/GISChat" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GISChat</span></a> <a href="https://fosstodon.org/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://fosstodon.org/tags/SpatialDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SpatialDataScience</span></a></p>
Anita Graser 🇪🇺🇺🇦🇬🇪<p>Leaving Prague with tons of new ideas and impressions. </p><p>Thanks <span class="h-card" translate="no"><a href="https://fosstodon.org/@martinfleis" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>martinfleis</span></a></span> and team for organizing and hosting this 2nd edition of SDSL. Looking forward to many more to come</p><p><a href="https://fosstodon.org/tags/GISChat" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GISChat</span></a> <a href="https://fosstodon.org/tags/SpatialDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SpatialDataScience</span></a> <a href="https://fosstodon.org/tags/MovingPandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MovingPandas</span></a> <a href="https://fosstodon.org/tags/MovementDataAnalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MovementDataAnalytics</span></a> <a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataScience</span></a> <a href="https://fosstodon.org/tags/GeoPandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GeoPandas</span></a> <a href="https://fosstodon.org/tags/Opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Opensource</span></a></p>
MovingPandas<p>Pleasure to see more and more use from students:</p><p>"we utilize the stop detection tools provided by MovingPandas"</p><p>Wicaksono, S. B. (2024). From Data Cleaning to Predictive Models: A Strategic Approach to Analyzing Bus and Ship Trajectories. Master Thesis in Data Science, Department of Mathemetics, University of Padova. </p><p><a href="https://thesis.unipd.it/handle/20.500.12608/69505" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">thesis.unipd.it/handle/20.500.</span><span class="invisible">12608/69505</span></a></p><p><a href="https://fosstodon.org/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://fosstodon.org/tags/MovingPandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MovingPandas</span></a> <a href="https://fosstodon.org/tags/MovementDataAnalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MovementDataAnalytics</span></a> <a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataScience</span></a> <a href="https://fosstodon.org/tags/GISChat" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GISChat</span></a></p>
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