GIScience / Geoinformatics Research Group
As part of the Institute of Geography, the GIScience Research Group is engaged in innovative applied and basic research at the interface between geography and the computational sciences. We thereby focus on the investigation of user-generated geographical content, for which we develop state-of-the-art methods and analytical approaches. More specifically, our thematic focuses are on volunteered geographic information (VGI), big spatial data analytics and disaster management. Through our companion “Heidelberg Institute for Geoinformation Technology” (HeiGIT), which is generously supported by the Klaus Tschira Foundation, we have the opportunity to translate our theoretical work directly into practical solutions. In addition, we support our institute's study programmes in geography with numerous quantitative courses that allow our students to specialize in geoinformatics.
Please note our vacancies.
we cordially invite everybody interested to our next open GIScience colloquium talk Context-Aware Movement Analysis: An Application to Similarity Search of Trajectories Dr. Mohammad Sharif Department of Geographic Information Systems, Faculty of Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran Time and date: Mon, January 22, 2:15 pm Venue: INF 348, Room 015, Department of Geography, Heidelberg University Studying movement [...]
Land use data created by humans (OSM) was fused with satellite remote sensing data, resulting in a conterminous land use data set without gaps. The first version is now available for all Germany at OSMlanduse.org. When human input (OSM data) was absent a machine generated missing land use information learning from human inputs and using remote [...]
This week the GIScience research group Heidelberg and HeiGIT visited the exhibition “MatheLiebe” in Heidelberg. The exhibition demonstrates that: • Mathematics is understandable not only for scientists, but for everyone, • that mathematics is interesting and useful and full of exciting surprises, • and that mathematics is important for technological progress and for our everyday lives. We very much [...]
Admittedly, the OpenRouteService Matrix API is anything but new. Already implemented in mid 2017, it’s been soaring to high demand by numerous clients across the globe ever since. Finally we want to give it the credit it deserves. The ORS Matrix API is the precursor to solve important problems like the traveling salesman problem and even more complex [...]
A recently published paper presents an approach for classifying urban blocks according to their built-up structure based on high-resolution spaceborne InSAR images. Most attributes considered in the classification describe the geometric structure and spatial disposition of the polygon and line features extracted from each block. The feature extraction is carried out on two intensity images [...]
we cordially invite everybody interested to our next open GIScience colloquium talk! Prof. Dr. Peter Baumann / Computer Science, Jacobs University, Bremen Friday, January 19 2018, 10.15 am, INF 348, Room 013, Heidelberg University, Institute for Geography Datacubes form an enabling paradigm [...]
Liebe Studierende aller Semester und Studiengänge, ich möchte Sie herzlich zu zwei besonderen Veranstaltungen im Rahmen der Vorlesung “Geodatenerfassung” in die Geographie einladen, die Sie sicher interessieren könnten: Montag, 22.01.2018 um 9.15 im gHS (INF 230, COS): Spezialvorlesung: Amtliche Geodaten bei der Stadt Heidelberg: Gewinnung, Nutzung und Vorhaltung. Hubert Zimmerer, Leiter des GIS der Stadt Heidelberg, berichtet [...]
Disaster events damage human infrastructure and its surroundings within seconds. To support humanitarian logistics, the Disaster OpenRouteService needs the latest, most accurate data available. While crowd-sourcing OSM updates during disasters proved very successful, there is not yet a convenient way of automatically accessing up-to-date OSM data for specific regions of interest. Addressing this need, HeiGIT [...]
Recently, deep learning has been widely applied in pattern recognition with satellite images. Deep learning techniques like Convolutional Neural Network and Deep Belief Network have shown outstanding performance in detecting ground objects like buildings and roads, and the learnt deep features are further applied in some prediction tasks like poverty and population mapping. On the [...]
Software Engineer OSM Routing Services, Backend & Algorithms Heidelberg Institute for Geoinformation Technology (HeiGIT) You genuinely enjoy developing open source Geoinformation Services used by thousands on a daily basis? You are a highly motivated Java Backend Developer? And you love using and enhancing OpenStreetMap for high-performance services for global coverage? Then we actually might have a [...]
Pictures of the Group
In Memoriam Peter Meusburger
On 18 December 2017, Prof. Dr. Dr. h.c. Peter Meusburger died far too soon. We mourn for a great scientist, teacher and colleague. In the mid 90s he implemented the first GIS pool at Heidelberg University and started GIS related research. He will not be forgotten. ((Message of the University)