Heidelberg Institute for Geoinformation Technology
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|
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
The all-new terrestrial laser scanner (TLS) of the 3DGeo group (Prof. Bernhard Höfle) has been set up at the Environmental Research Station Schneefernerhaus over one week (mid of April 2018) to capture a unique highly temporal time series of the melting and degrading snow cover during the April’s week with the warmest daily maximum temperatures [...]
Modeling the geographic distribution of tourists at a tourist destination is crucial when it comes to enhancing the destination’s resilience to disasters and crises, as it enables the efficient allocation of limited resources to precise geographic locations. Seldom have existing studies explored the geographic distribution of tourists through understanding the mechanisms behind it. A recently [...]
A team around Prof. Joao Porto de Albuquerque, including our GIScience Heidelberg colleague René Westerholt, has won this years GISRUK data challenge. Big Congratulations! The theme of the data challenge was to find novel and explicitly spatial insights on the Brexit. Our contribution relates the recent influx of foreign people to the Brexit voting outcomes. Thereby, [...]
The growing use of crowdsourced geographic information (CGI) has prompted the employment of several methods for assessing information quality, which are aimed at addressing concerns on the lack of quality of the information provided by non‐experts. In a recently published work, we propose a taxonomy of methods for assessing the quality of CGI when no [...]
Great news for all enthusiasts of R stats - the popular open source stats system: the HeiGIT ORS team has developed a package to facilitate querying the openrouteservice API from R. It allows you to painlessly consume the following services: directions (routing) geocode isochrones (accessibilty) time-distace matrix pois (points of interest) You do not have to fiddle with processing any street network data, but will [...]
The Ohsome OSM history analytics platform, developed at HeiGIT, will be presented at the following conferences: ISCRAM in Rochester, NY, USA (20th - 23rd of May) In the short paper for the International Conference for Information Systems for Crisis Response and Management we illustrate the specific potential of the ohsome platform for disaster activations by means of two relevant case [...]
We cordially invite everybody interested to our next open GIScience colloquium talk The speaker is Mathias Gröbe Technical University of Dresden, Department of Geosciences, Institute of Cartography When: Monday 23.04.2018, 14:15 Where: INF 348, room 015 (Institute of Geography, Heidelberg University) Micro Diagrams: A Multi-Scale Approach for Geovisual Analysis of Categorised Point Datasets Location-based social media from different platforms such as Twitter and [...]
Again and again each spring it is really awesome (not ohsome ;-) to have a look at our GIScience offices at the Institute of Geography, INF 348, Heidelberg University.
We would like to congratulate Dr. Milutin Milenkovic (Vienna Univ. of Technology, AT) and Dr. Xi Zhu (ITC, NL) for achieving their PhD degree in the domain of 3DGeo research utilizing point clouds from LiDAR and photogrammetry. Bernhard Höfle joined the defenses of the two very good PhD studies: Xi Zhu (2018): Forest Leaf Water Content [...]
The OpenStreetMap History Database (OSHDB) is the main data backend developed at HeiGIT for the ohsome OSM history analytics platform, that will make OSM’s history data more accessible for further analysis. OpenStreetMap (OSM) is a rich resource of freely available geographic information. However, the possibilities for analyzing OSM data on a global scale are limited because of [...]