Category: Allgemein

The enhanced ohsomeNow Stats dashboard now provides near real-time access to all OpenStreetMap contributions since 2005, enabling more flexible and detailed analysis of global mapping activities. ohsomeNow stats provides a comprehensive overview of mapping activities in near real time. The dashboard was developed as part of our long-term cooperation with the Humanitarian OpenStreetMap Team (HOT),…

The third HGG lecture is about the function of glaciers as early warning systems for climate change and how this has changed over the years.

In just 8 days, on May 15th, we will officially launch the Climate Action Navigator (CAN), HeiGIT’s interactive dashboard offering high-resolution data and analysis on key climate indicators, from the quality and availability of mobility infrastructure to carbon dioxide emissions from heating of residential buildings. In this third part of our blog post series, we…

We are pleased to announce that HeiGIT and GIScience research Group at Heidelberg University are open to hosting postdoctoral researchers through the Marie Skłodowska-Curie Postdoctoral Fellowships (MSCA-PF) 2025. MSCA Fellowships offer a unique chance to pursue an independent research project in an international setting while benefiting from advanced training and interdisciplinary exchange. We invite researchers…

In just 15 days, on May 15th, we will officially launch the Climate Action Navigator (CAN): HeiGIT’s new dashboard offering high-resolution, open data-based insights into key climate action indicators. From assessing CO2 emissions from residential heating to urban active mobility infrastructure, CAN helps identify where targeted action is most urgently needed. In this second post…

In just 22 days, on May 15th, we will officially launch the Climate Action Navigator (CAN): HeiGIT’s new dashboard offering high-resolution, open data-based insights into key climate action indicators. From assessing CO2 emissions from residential heating to urban active mobility infrastructure, CAN helps to identify where targeted action is most urgently needed. In this first…

This research shows how spatial indicators from openrouteservice (ORS) can support building-level demographic predictions using machine learning. The study combines ORS APIs, building attributes, and POI data to estimate population and age characteristics in German cities, offering insights into the relationship between urban accessibility and demographic patterns. In today’s data-driven world, understanding cities at a…