Universitätssiegel
HeiGIT
 
Adresse
Heidelberg Institute for Geoinformation Technology
Berliner Str. 45 (Mathematikon)
D-69120 Heidelberg
 
 
Leitung
 
Sekretariat
Bettina Knorr
Im Neuenheimer Feld 368
Zimmer 108, 1. OG
69120 Heidelberg
knorr@uni-heidelberg.de
Tel: +49 (0) 6221 54-5560
Fax: +49 (0) 6221 54-4529
 
Getragen von:
KTS – Klaus Tschira Stiftung gemeinnützige GmbH
 

Aufbau des Heidelberg Institute for Geoinformation Technology

getragen von der Klaus Tschira Stiftung

Das Projekt zum Aufbau des Heidelberg Institute for Geoinformation Technology (HeiGIT) ist an der Abteilung Geoinformatik am Geographischen Institut der Universität Heidelberg angesiedelt. Das Ziel ist es den Wissens- und Technologietransfer aus der Geoinformatik-Grundlagenforschung in die Praxis auf Basis innovativer Geoinformationstechnologien zu verbessern. Der Fokus liegt auf der Umsetzung praxisbezogener Projekte und Dienste vor allem in den Bereichen

  • Big Spatial Data Analytics,
  • Intelligente Ortsbasierte Dienste und Navigation, sowie
  • Disaster-Mapping für humanitäre Hilfen.

Big Spatial Data Analytics Navigation Intelligence & Location Based Services
Analyse, Veredelung und Nutzung von Geoinformationen aus nutzergenerierten Geodaten durch Spatial Data Mining, Machine Learning und Geocomputation

Leistungen und Referenzen
Innovative Verkehrs- und Mobilitätslösungen, Routing- und Navigationsdiensten auf Basis veredelter Daten von OpenStreetMap und des Social Web

Leistungen und Referenzen

Disaster Mapping - (V)GI für humanitäre Hilfe
Unterstützung humanitärer Aktionen durch innovative Geo-Dienste und aktuelle Karten für das Katastrophenmanagement v.a. auf Basis nutzergenerierter Geodaten (Crowdsourcing, OSM, Social Web...)

Leistungen und Referenzen

Aktuelle Neuigkeiten:

15.07.2018 10:10
Successfull PhD Defence of GIScience Group Member Julian Bruns

Our GIScience Research Group team member Julian Bruns has recently defended his PhD at the Karlsruhe Institute of Technology (KIT) at the FZI in the project BigGIS. Congratulations Julian, well done! The topic of the thesis was “Robust Modeling of Spatio-Temporal Dependencies and Hot Spots” at the Institut für Informationswirtschaft und Marketing at KIT.

13.07.2018 08:28
Colloquium on Open Source Foundations for Spatial Decisions Support Systems

We cordially invite everybody interested to our next open GIScience colloquium talk The speaker is Prof. Jochen Albrecht Professor of Computational and Theoretical Geography, Hunter College, City University of New York When: Monday 16.07.2018, 2:15 pm Where: INF 348, room 015 (Institute of Geography, Heidelberg University) Open Source Foundations for Spatial Decisions Support Systems Spatial Decision Support Systems (SDSS) were a hot topic [...]

12.07.2018 10:30
AGIT30 was ohsome (and awesome)

Members of the HeiGIT team were presenting parts of our work at this years AGIT/GI_Forum conference in Salzburg, Austria (as already announced in a previous blogpost). Julian Bruns was presenting the results of a joint work with the KIT and his old employer, the FZI, which is published in the GI-Forum journal (English conference running in parallel to the AGIT), [...]

10.07.2018 13:00
Follow-up to study with mobile low-cost 3D camera crop height measurements

The study “Mobile low-cost 3D camera maize crop height measurements under field conditions” (see the respective blog entry) is now available also as print version: The updated citation is: Hämmerle, M. & Höfle, B. (2018): Mobile low-cost 3D camera maize crop height measurements under field conditions. Precision Agriculture 19(4), pp. 630-647. doi: 10.1007/s11119-017-9544-3.

09.07.2018 22:23
Continued capturing of an active rock glacier in 3D

For the fourth consecutive year, the 3DGeo team acquired the rock glacier Äußeres Hochebenkar in the Austrian Ötztal by terrestrial laser scanning. This adds another point cloud to the multitemporal dataset to observe how the active rock glacier changes over the years. In an elevation over 2600 m a.s.l., the complex terrain on and around the [...]

07.07.2018 11:52
A new infrastructure for exploring and analyzing OpenStreetMap

Ever wondered how you can generate/use some meta-information about OpenStreetMap for your project? Are you interested in visualizing different aspects of OpenStreetMap data? In the article below, we present a server infrastructure to collect and process data about different aspects of OpenStreetMap. The resulting data are offered publicly in a common container format, which fosters the [...]

06.07.2018 18:05
Deadline extended to July 25: PLATIAL 2018, Heidelberg University

Because of several requests the deadline for short papers has been extended to Wed. July 25 2018. The recent availability of user-generated geographic datasets allows gaining novel insights into otherwise hardly observable societal phenomena. Geosocial media forms one important source of user-generated information, which partly describes the everyday lives of people. The analysis of these kinds [...]

06.07.2018 08:07
Colloquium on Big spatio-temporal data analysis based on social sensing

We cordially invite everybody interested to our next open GIScience colloquium talk The speaker is Prof. Jiangya Gong Dean, School of Remote Sensing and Information Engineering, Wuhan University, China When: Monday 09.07.2018, 2:15 pm Where: INF 348, room 015 (Institute of Geography, Heidelberg University) Big spatio-temporal data analysis based on social sensing With the rapid development of information and communications technology (ICT), ubiquitous [...]

04.07.2018 16:31
Validation of fracture data recognition in rock masses by automated plane detection in 3D point clouds

Digital outcrop models provide a powerful data basis to obtain orientation information on rock masses. Robust and transferrable automatic methods are required to process and analyze these data, as outcrops and hence acquired 3D point clouds are influenced by varying conditions depending e.g., on the site, atmospheric conditions and other factors. A crucial aspect in [...]

02.07.2018 21:32
1 Million ways to download OpenStreetMap data workshop

OpenStreetMap has become a huge source for any kind of geographic information. In OpenStreetMap you now find not only street information, but also information related to buildings, shops, sights and in Heidelberg even to individual trees. Furthermore, OpenStreetMap data is open data – everyone is free to edit and to download the data to create own maps [...]

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