Establishing the Heidelberg Institute for Geoinformation Technology
The project was running until June 2019 and was continued as HeiGIT gGmbH. Recent information can be found on the HeiGIT website
core funded by the Klaus Tschira Stiftung
The project to establish a Heidelberg Institute for Geoinformation Technology (HeiGIT) is part of the GIScience Research Group at the Department of Geography, Heidelberg University. The objective is to facilitate the transfer of knowledge and technology from academia to practical applications and professional services. The focus lays on the analysis, refinement, enrichment and usage of big spatial data from the crowd for innovative applications and services.
We focus initially on three areas:
- Big Spatial Data Analytics,
- Navigation Intelligence and Location Based Services and
- Innovative Services for Disaster Management.
| Big Spatial Data Analytics | Navigation Intelligence & Location Based Services |
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Analyses, Quality Assurance, Refinement and Utilisation of Crowdsourced Geographic Information from the Web using Data Mining and Geocomputation
Services and References |
Innovative Traffic- and Mobility Solutions, Routing- and Navigation Services based on enhanced data from different sources including OpenStreetMap and the Social Web.
Services and References |
| Disaster Mapping – VGI for Humanitarian Support |
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Supporting humanitarian activities by developing up-to-date disaster maps and providing innovative GI services during catastrophes and for mitigating risk.
Services and References |
Recent News:
If you’re on the job market or know someone who is, check out this exciting new opening from our partners 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 [...]
Featured Image: Road network analysis for the driving profiles. A Normal conditions before the flood event. B Evolution of scores after the floods induced by Cyclone Idai. The lower row shows a close-up of the area surrounding the city of Dondo The ability of disaster response, preparedness, and mitigation efforts to assess the loss of physical access to health [...]
An approach for automatic characterization of surface activities from large 4D point clouds is presented in a new paper by Daan Hulskemper et al. in collaboration between the 3DGeo research group and the departments of Geoscience and Remote Sensing and Coastal Engineering at TU Delft. Hulskemper, D., Anders, K., Antolínez, J. A. Á., Kuschnerus, [...]
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 [...]
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 [...]
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 [...]
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 [...]
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 a wonderful [...]
We have exciting ohsome news! As many of you know, past OSHDB updates happened weekly and led to a delay between the data in OpenStreetMap (OSM) and our database. Basically, you had to wait up to a week to see changes in OSM reflected in the OSHDB. From this point forward, that lag is a [...]
Welcome back to our ohsome region of the month series! In this post, we’ll take a look at the temporal development of highways and added smoothness-information, as well as social facilities and updates on map development for Kyiv. Before we start, if you’re new to the series, make sure to check out previous installments of [...]
