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:

26.04.2018 19:59
The Ohsome API: dynamic OSM statistics for real-world applications

The Ohsome API, developed at HeiGIT, is part of the ohsome OSM history analytics platform (and yes, it is pronounced like the word “awesome” ;-).  It serves as the connection between the OpenStreetMap History Database (OSHDB) and possible frontends, such as the Ohsome Nepal Dashboard prototype. The communication with the Ohsome API works via HTTP GET and POST requests as [...]

26.04.2018 12:44
Apartment search with Openrouteservice; a new Python notebook example:

As promised we offer some more examples on how to use Openrouteservice for some applications. In this notebook  example, we’d like to showcase one way to go about finding an apartment based on OSM data. We’ll using different openrouteservice API’s to help you look for an apartment. Here is the full example with code and interactive [...]

25.04.2018 17:50
4D-LiDAR Snow Cover Monitoring at the Highest Summit of Germany

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 [...]

25.04.2018 15:48
Coupling maximum entropy modeling with geotagged social media data to determine the geographic distribution of tourists

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 [...]

24.04.2018 10:09
First prize of the GISRUK data challenge

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, [...]

23.04.2018 22:18
A taxonomy of quality assessment methods for volunteered and crowdsourced geographic information

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 [...]

22.04.2018 09:55
R package for Openrouteservice released!

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 [...]

21.04.2018 09:00
Upcoming Ohsome Conferences

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 [...]

20.04.2018 08:05
Colloquium on Micro Diagrams for Geovisual Analysis of Point Datasets

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 [...]

18.04.2018 06:56
Heidelberg Geography in Blossom

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.

Editor: Webmaster Team
Latest Revision: 2018-02-01
zum Seitenanfang/up