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GIScience Blog

Month: April 2021

  • SocialMedia2Traffic – Kick-Off presentation 13.04.21

    Up-to-date traffic information is a prerequisite for navigation solutions to determine the best route and travel time. In the SocialMedia2Traffic project by HeiGIT and GIScience Heidelberg , conclusions about current traffic density and speed will be derived based on data from social media. For intro blog post, click here. Schematic workflow: Tomorrow, Tuesday 13.04.2021, 10am…

  • HELIOS++ v1.0.6 released

    We are proud to present the newest HELIOS++ release, v1.0.6, with numerous bugfixes and support for the unique LiVOX scan pattern (using Risley prisms – the color indicates point indices and increases from blue to red): Furthermore, the Easter bunny left some Easter eggs in the ‘toyblocks’ scene: You can find the changlelog for the…

  • HeiGIT und DRK veröffentlichen weiteres Trainingsmaterial zu Mapathons 

    Gemeinsam mit dem Deutschen Roten Kreuz (DRK) hat das HeiGIT heute das Dokument “Die häufigsten Fehler beim „mappen“ mit dem iD-Editor & deren Lösung” veröffentlicht. Das Dokument ist komplementär zum Handbuch zur Veranstaltung von Mapathons, welches bereits 2020 veröffentlicht wurde. Das neue Dokument beschreibt kurz und bündig häufig auftretende Fehler beim Mappen und soll so noch unerfahrenen Mapper*innen…

  • German Mass Vaccination Sites in Open Healthcare Access Map

    Last week we introduced Open Healthcare Access Map. Our new web application for interactively sharing results of accessibility estimates based on OpenStreetMap healthcare facilities and openrouteservice isochrones. A new update now shows motorized accessibility estimates of mass vaccination sites in Germany. Accessible via this directlink: https://apps.heigit.org/healthcare_access/#/countries/deu/covid19_vaccination/adm0 These results are based on an analysis by Sven…

  • ohsome-py: Python Package for OSM history analytics published

    As a little Easter present, we published the first version of the ohsome-py Python package today. ohsome-py helps you extract and analyse OpenStreetMap history data using the ohsome API and Python. It handles queries to the ohsome API and converts its responses to Pandas or GeoPandas data frames to facilitate easy data handling and analysis.…