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

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:

18.02.2020 18:39
HELIOS used in a study on hetero-integration which enables fast switching time-of-flight sensors for light detection and ranging

The Heidelberg LiDAR Operations Simulator (HELIOS) is an open source laser scanning simulation framework for interactive simulation and visualization of terrestrial, mobile and airborne laser scanning surveys. It can be flexibly used for teaching and training of laser scanning, development of new scanner hardware and scanning methods, or generation [...]

14.02.2020 15:59
Multitemporal Terrestrial Laser Scanning Point Clouds for Thaw Subsidence Observation

New paper on “Multitemporal Terrestrial Laser Scanning Point Clouds for Thaw Subsidence Observation at Arctic Permafrost Monitoring Sites” The paper investigates different methods for quantifying thaw subsidence using terrestrial laser scanning (TLS) point clouds. Thaw subsidence is a slow (mm‐cm per year) vertical displacement of the ground surface common in ice‐rich permafrost‐underlain landscapes. It is difficult [...]

12.02.2020 09:44
3DGeo licensed drone pilots

During the last weeks, members of the 3DGeo group were found studying for the “Kenntnisnachweisprüfung”, the official examination for drone pilots in Germany. Today, we are proud to announce that all six applicants from our group have passed both the theoretical test as well as a practical exam where they had to show their capability [...]

07.02.2020 08:15
Colloquium Talk about healthsites.io: Building a baseline of health facility data in OpenStreetMap by M. Herringer

We are happy to invited to the presentation in the GIScience HD colloquium. Everybody interested is invited to join the presentations and the discussion afterwards. Building a baseline of health facility data in OpenStreetMap Markus Herringer, healthsites.io, Amsterdam, NL - Monday, February 10, 2020. 2.15 pm -Lecture Hall (room 015), Im Neuenheimer Feld 348, Institute of Geography, Heidelberg University The [...]

05.02.2020 07:10
Detecting OSM Building Facades with Graffiti Artwork Based on Street View Images and Social Media using Deep Learning

As a recognized type of art, graffiti is a cultural asset and an important aspect of a city’s aesthetics. As such, graffiti is associated with social and commercial vibrancy and is known to attract tourists. However, positional uncertainty and incompleteness are current issues of open geo-datasets containing graffiti data. In a newly published paper, we [...]

03.02.2020 18:13
GIScience Contributions to the 2019 State of the Map Academic Track proceedings

Recently the SOTM 2019 Heidelberg Academic Track Proceedings have been published. GIScience Research Group Heidelberg and HeiGIT contributed several talks and posters. Below you can find an overview. Contact us if you are interested in further details on ongoing research. Klonner, Hartmann, Djami, Zipf, A. (2019). “Ohsome” OpenStreetMap Data Evaluation: Fitness of Field Papers for Participatory Mapping [...]

02.02.2020 21:58
‘Place’ in the GIScience Community – an indicative and preliminary Systematic Literature Review

The concept of place has recently gained importance in geographical information science (GIScience). One reason for this is the emergence of user-generated geographic information, which partially represents subjective everyday geographical encounters. No consensus, however, on how to deal with place in GIScience has yet been reached. A recently published paper presents a systematic literature review [...]

01.02.2020 17:11
Learning salience models of indoor landmarks

In landmark-based way-finding, determining the most salient landmark from several candidates at decision points is challenging. To overcome this problem, current approaches usually rely on a linear model to measure the salience of landmarks. However, linear models are not always able to establish an accurate quantitative relationship between the attributes of a landmark and its [...]

29.01.2020 10:04
ohsome presentation in Malta at the 3rd International Workshop on Spatial Data Quality

Around 55 participants gathered in Malta for the 3rd International Workshop on Spatial Data Quality 2020 from 28th to 29th of January. Among national mapping agencies, software providers and standardization organizations, HeiGIT had the opportunity to present its ohsome - OSM history analytics platform for analyzing spatial data quality by looking at the temporal development [...]

27.01.2020 15:53
Mapping Rohingya Refugee Camps in Bangladesh – An Analysis Using the OSHDB API

Humanitarian mapping activations show increasing numbers of contribution. This blog post illustrates the specific potential of the Open Source OSHDB API [1] for detailed analyses of such activations by means of a case study. The examined area is Cox’s Bazar in Southeast Bangladesh, where almost 1 million Rohingya refugees fled to from Myanmar in [...]

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