Heidelberg Institute for Geoinformation Technology
Berliner Str. 45 (Mathematikon)
D-69120 Heidelberg
Bettina Knorr
Im Neuenheimer Feld 368
Zimmer 108, 1. OG
69120 Heidelberg
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:

20.03.2018 10:25
Graph-based matching of points-of-interest from collaborative geo-datasets

Several geospatial applications require comprehensive semantic information from points-of-interest (POIs). However, this information is frequently dispersed across different collaborative mapping platforms. Surprisingly, there is still a research gap on the conflation of POIs from this type of geo-dataset. In a recent paper by Novack et al. (2018), we focus on the matching aspect of POI [...]

19.03.2018 09:37
Third Workshop on “3D Field Methods in Geosciences”

The third workshop on 3D methods in geological applications was jointly organized by the University of Göttingen, the Geological Service of North Rhine-Westphalia (NRW, German federal state), and the 3D Geo Research Group at Heidelberg University. The workshop is an event of the initiative “3D Field Methods in Geosciences”, which provides a platform to connect [...]

17.03.2018 15:21
POI/ROI Discovery using Flickr geotagged photos

In the era of big data, ubiquitous Flickr geotagged photos have opened a considerable opportunity for discovering valuable geographic information. Point of interest (POI) and region of interest (ROI) are significant reference data that are widely used in geospatial applications. A recently published study (Kuo et al 2018) study aims to develop an efficient method [...]

16.03.2018 14:49
Contribution selected for final round of GISRUK data challenge

The results of an analysis of migration data and of the Brexit referendum votes are among only four selected finalists of this year’s data challenge associated with the GISRUK conference. The research was conducted by a team advised by Professor João Porto de Albququerque (University of Warwick) including our colleague René Westerholt. The idea of [...]

15.03.2018 18:12
Preview of the ohsome Nepal dashboard

The ohsome OpenStreetMap history analytics platform, which is currently developed at HeiGIT, will make OSM’s full-history data more easily accessible. We are pleased to announce that we are coming closer to reaching our objectives, hereby sharing a preview of the first ohsome web dashboard. Our dashboards will allow you to explore [...]

13.03.2018 22:15
Reminder Deadline 30.03.2018 CFP: VGI-ALIVE Workshop at AGILE, Sweden

VGI-ALIVE - AnaLysis, Integration, Vision, Engagement Tuesday 12th June 2018, Lund, Sweden, Workshop at AGILE 2018 Introduction to the VGI-ALIVE Workshop The steady rise of data volume shared on already established and new Volunteered Geographic Information (VGI) and social media platforms calls for advanced analysis methods of user contribution patterns, leads to continued challenges in data fusion, and provides also new opportunities [...]

12.03.2018 21:06
GIScience contribution to Big Data Research Winter School with Indian IITs in Heidelberg

Currently Heidelberg University is establishing a PhD Research Training Group (RTG) on “Big Data Research“ together with several Indian Universities and Indian Institutes of Technology (IIT) in the context of the HGS MathComp at the IWR (Interdisciplinary Center for Scientific Computing). Partners from India include Allhabad University, Delhi University (MoU pending), Jawaharlal Nehru University, IIT Guwahati, [...]

09.03.2018 10:29
Masterclass and Workshop at the University of Warwick

Our colleague René Westerholt was recently invited to deliver a Masterclass on ‘Spatial Analysis’ at the University of Warwick (UK) on Tuesday, 6th of March. The one-day-event was hosted by the Q-Step Centre, an initiative to strengthen quantiative skills of students enrolled at the Social Science Faculty. The workshop was attended by students from various [...]

08.03.2018 22:12
ISPRS Education and Capacity Building Initiatives 2018

The International Society for Photogrammetry and Remote Sensing (ISPRS) is funding scientific and other initiatives, which will further improve its international status in the field of the photogrammetry, remote sensing and spatial information sciences, and will therefore benefit all ISPRS members. For 2018, seven Education and Capacity [...]

08.03.2018 11:44
LandSense Innovation Challenge

The LandSense Team is thrilled to announce the first LandSense Innovation Challenge, which targets individuals, web-entrepreneurs, start-ups and SMEs coming from all participating H2020 countries, to present innovative IT solutions in addressing one of the three LandSense domains: Urban Landscape Dynamics, Agricultural Land Use, and Forest & Habitat Monitoring (learn more here). The focus of this challenge [...]

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