Universitätssiegel
HeiGIT
 
Address
Heidelberg Institute for Geoinformation Technology
Berliner Str. 45 (Mathematikon)
D-69120 Heidelberg
 
 
Head
 
Office
Bettina Knorr
Im Neuenheimer Feld 368
Room 108, 1. OG
D-69120 Heidelberg
knorr@uni-heidelberg.de
Tel: +49 (0) 6221 54-5560
Fax: +49 (0) 6221 54-4529
 
Core Funded by
KTS - Klaus Tschira Stiftung gemeinnützige GmbH
 

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

Big Spatial Data Logo

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
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
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:

30.05.2023 11:01
2022 #30DayMapChallenge Round-Up Part 2: Deleted Maps

Featured photo: The deleted map displays all deleted elements within the analyzed areas (red). Gray rectangles represent deleted buildings. This past November, our teams at HeiGIT and GIScience participated in Topi Tjukanov’s Twitter event #30DayMapChallenge, where mappers display their creativity and ingenuity with a set of 30 daily prompts ranging from colors to specific datasets […]

23.05.2023 10:31
Training on digitalization of participatory mapping in Kuala Lumpur

Featured Image: Training participants simulating a participatory mapping on the ground with the SketchMapTool. Last week, HeiGIT team member Anne Schauß held a workshop session in Kuala Lumpur, Malaysia, during a training of the International Federation of Red Cross and Red Crescent Societies (IFRC). The international training focused on community resilience and how to assess […]

22.05.2023 14:00
#30DayMapChallenge Round-Up Part 1: Germany Three Ways

Featured Image: The peaks of Germany identified by curvature in N/E direction, Jakob Schnell’s contribution for Day 7 (Raster) of the #30DayMapChallenge. This past November, our teams at HeiGIT and GIScience participated in Topi Tjukanov’s Twitter event #30DayMapChallenge, where mappers display their creativity and ingenuity with a set of 30 daily prompts ranging from colors to […]

19.05.2023 11:45
How to become ohsome part 15- Analysing Changes in OSM after the Earthquake in Syria and Türkiye in February 2023

Featured Map: Percent change in each province of Türkiye  and Syria of buildings in OSM. Data from OpenStreetMap, visualized using QGIS and the ohsome API plugin. Welcome back to the how to become ohsome series! If you’re new to the series, you can check out the previous issues (like this one) or the ohsome Region of […]

11.05.2023 12:17
Öffentlicher Vortrag am 16. Mai: Klimawandel, Mobilität und das steigende Risiko von Infektionskrankheiten in Deutschland

Am Dienstag, den 16. Mai, werden die Besuchenden des öffentlichen Vortrags “Klimawandel und Infektionskrankheiten in Bezug auf Gesundheitswesen und Mobilität” Einblicke von fünf Experten erhalten, die derzeit Pionierarbeit bei der Erforschung einer der größten Bedrohungen für die öffentliche Gesundheit in Deutschland leisten. Die Veranstaltung findet in deutscher und englischer Sprache im Mathematik-Hörsaal im Erdgeschoss des […]

10.05.2023 14:48
GeoEpi at CGA 2023: From Geospatial Research to Health Solutions

Featured photo: The geoEpi team attending CGA 2023. Back row from left: PD Dr. med. Thomas Jaenisch, Assoz. Prof. Dr. Bernd Resch, Dorian Arifi and Steffen Knoblauch. Front row from left: Dr. rer. nat. Ivonne Morales Benavides, Apl. Prof. Dr. Sven Lautenbach, and Dr. Yannik Roell. Ever since Dr. John Snow’s 1854 tracing of a […]

09.05.2023 11:26
Upcoming Public Lecture May 16: Climate Change, Mobility, and the Increasing Risk of Infectious Disease Outbreaks in Germany

On Tuesday, May 16, visitors to the public lecture “Climate Change, Mobility, and the Increasing Risk of Infectious Disease Outbreaks in Germany” will be treated to insights from five experts currently pioneering research into one of the greatest threats to Germany’s public health. The event will occur in both German and English on the ground […]

04.05.2023 14:20
New Paper: Carbon Fluxes Related to Land Use and Land Cover Change in Baden-Württemberg

Featured Image: Figure 1. Total carbon fluxes related to LULCC in Baden-Württemberg between March 2018 and October 2019 (LaVerDi, OSMlanduse+), and March 2018 and March 2020 (OSMlanduse, OSMlanduse cleaned). The upper plot shows the relative difference of carbon fluxes [%] with respect to LULC transition and carbon flux attribution method. The carbon fluxes of method […]

20.04.2023 14:40
Introducing the VirtuaLearn3D Project

With VirtuaLearn3D (Virtual Laser Scanning for Machine Learning Algorithms in Geographic 3D Point Cloud Analysis), a new project of the 3DGeo group has started. The focus of this project is to enable powerful machine learning algorithms for geographic point cloud analysis by advancing the concept of virtual laser scanning to overcome the lack of training […]

07.04.2023 10:18
Private Vehicles Greenhouse Gas Emission Estimation at Street Level for Berlin Based on Open Data

Since the transportation sector is one of the major greenhouse gas (GHG) emitters that has not seen significant emission reductions in the last decades, it requires special attention from policymakers. However, estimations of traffic emissions often rely on huge amounts of actual traffic data whose availability is limited. Therefore, Ulrich et al. now propose an […]

06.04.2023 17:06
Assessing Completeness of OpenStreetMap Building Footprints Using MapSwipe

Natural hazards threaten millions of people all over the world. To address this risk, exposure and vulnerability models with high resolution data are essential. However, in many areas of the world, exposure models are rather coarse and are aggregated over large areas. Although OpenStreetMap (OSM) offers great potential to assess risk at a detailed building-by-building […]

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Latest Revision: 2022-01-28
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