Month: November 2022
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OSHDB Version 1.0 Has Arrived
Featured Photo: Ohsome dashboard interface for Heidelberg, Germany. In the words of Confucius, “The man who moves a mountain begins by carrying away small stones.” As we release OSHDB (OpenStreetMap History Database) Version 1.0, we look back at versions 0.5, 0.6, 0.7, and all the other small improvements to our historical OpenStreetMap database as the…
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Job Opening for Postdoc / Senior Researcher on OpenStreetMap Road Quality Analysis
If you’re on the job market or know someone who is, check out this exciting new opening at GIScience. The offer is included as text below! You are interested in enhancing methods for analyzing & improving OpenStreetMap data? You are an experienced Spatial Data Scientist innovating geoinformatics methods & workflows? You have profound hands-on experience…
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Geography Awareness Week 14.-19.11.2022
Der Klimawandel, Grenz- und Wasserkonflikte stellen enorme Herausforderungen für die aktuelle und kommenden Generationen dar. In all diesen Bereichen und darüber hinaus bietet die Geographie einmalige Chancen, zielgerichtet Lösungen zu erarbeiten. Das Geographische Institut der Universität Heidelberg möchte gemeinsam mit der Fachschaft Geographie, dem HeiGIT(Heidelberg Institute for Geoinformation Technology), GeoDACH e.V. und anderen internationalen Partnerorganisationen Aufmerksamkeit auf das Fach Geographie und…
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Open Data: Multi-platform point clouds and orthophotos of the inland dune in Sandhausen
The commune Sandhausen (Baden-Württemberg) got its name from the inland dune, which is located in the area of the village. In 2021 and 2022, the 3DGeo group of Heidelberg University conducted UAV-based and ground-based surveys of three areas of the inland dune of Sandhausen to acquire 3D point clouds and orthophotos. The dataset is freely and…
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Time to celebrate! oshdb has reached an object count of >10 billion!
As of 02.11.2022 we have reached objects 10,107,826,483* in our oshdb. As such, we think it is most definitely time to celebrate! *For information on the background this figure, read our Basic guide to OSM data filtering 😉 This blog post is all about reaching 10 billion objects in OpenStreetMap. For the database to aggregate such…