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
Transactions in GIS - Special Issue about MODELLING AND ANALYSING PLATIAL REPRESENTATIONS. Editors: R Westerholt , F-B Mocnik, A Comber, C Davies, D Burghardt, and A Zipf A place for place – modelling and analysing platial representations Places are understood as locations and areas to which anthropogenic meaning is ascribed. As such, places have been [...]
Within the European FP7 project “CAP4Access“, we studied the usage of crowdsourced geographic information (and more specifically OpenStreetMap data) for improving accessibility in selected European regions. This 3 year research study led to several implementations and extensions of Open Source GI solutions with respect to OSM data quality assessment as well as wheelchair routing and [...]
After the successful GeOnG conference 2018 in chambery we want to thank the organizers and all participants. We contributed in several ways, as already highlighed in our previous blogpost. Now, we also want to share our slides and workshop material with everyone interested. Round table discussion: Machine Learning, AI & satellite imagery: what impact on humanitarian mapping: [...]
In a newly published open access paper, we present a system that generates customized pedestrian routes entirely based on data from OpenStreetMap (OSM). The system enables users to define to what extent they would like the route to have green areas (e.g., parks, squares, trees), social places (e.g., cafes, restaurants, shops) and quieter streets (i.e., [...]
Das Wintersemester hat begonnen und damit auch die Vortragsreihe der Heidelberg Geographischen Gesellschaft HGG. Wir möchten Sie herzlich einladen an den Vorträgen der HGG teilzunehmen. Das Rahmenthema dieses Semester lautet: Reisen für die Wissenschaft Expeditionen, Exkursionen und Explorationen Die Vorträge dieses Semester: ”And Germany pays you for asking us these questions?” Humangeograhische Reflexionen über das ethnologische Fremdverstehen Prof. Dr. [...]
HeiGIT/GIScience member Sven Lautenbach acted both as part of the boards of directors and as an instructor at the 10th Summer School for Spatial epidemiology, social media, and urban health that took place at the Humboldt University in Bielefeld. This year’s summer school aimed at the use of social media to capture spatial patterns in [...]
HeiGIT ran a workshop on geodata for sustainable development at the Sustainable Development in Action conference organized by the Heidelberg Center for Environment and Momentum Novum at Heidelberg University. Our workshop provided an overview about the importance of geodata to tackle the sustainable development goals (SDG) of the United Nations, highlighted the importance of bridging [...]
The proceedings of the PLATIAL’18 workshop (organized by R Westerholt, F-B Mocnik, and A Zipf) have been published: https://doi.org/10.5281/zenodo.1475269 The concept of “place” is about to become one of the major research themes in the discipline of geographical information science (GIScience), as well as in adjoining fields. Briefly put, while locations provide objective references (e.g., point coordinates), [...]
In our most recent 3DGeo publication, colleagues from KU Leuven together with us developed a new method to extract drainage ditches from LiDAR point clouds in a fully automatic process. Ditches are often absent in hydrographic geodatasets and their mapping would benefit from a cost and labor effective alternative to field surveys. We propose [...]
Im Projekt „meinGrün“ entwickeln Partner aus Wissenschaft, kommunaler Praxis und Wirtschaft unter Leitung des Leibniz-Instituts für ökologische Raumentwicklung (IÖR) die Grundlagen für neuartige, interaktive Informationsangebote. Ziel ist es, Grünflächen in Städten genauer zu beschreiben und zu zeigen, wie man sie gut erreichen kann. Nutzer der Grünflächen können diese bewerten und Stadtverwaltungen erhalten Hinweise auf Verbesserungspotenzial. Das Projekt wird vom Bundesministerium für Verkehr und digitale Infrastruktur (BMVI) im Rahmen der Forschungsinitiative mFUND gefördert, die sich mit digitalen datenbasierten Anwendungen für die Mobilität 4.0 befasst.