Aufbau des Heidelberg Institute for Geoinformation Technology
Das Projekt lief bis Juni 2019 und wurde als HeiGIT gGmbH weitergeführt. Aktuelle Informationen finden sich auf der Webseite des HeiGIT
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:
The Heidelberg Geographical Society (HGG) has invited leading experts to present on urgent contemporary issues in an open lecture series.
To improve vector control strategies, Dr. Steffen Knoblauch (PostDoc at GIScience and HeiGIT) has developed detailed maps showing where Aedes aegyti is most likely to thrive. Using a holistic approach, his work leverages geospatial big data – including openly available satellite and street view imagery as well as climate data – to identify common breeding […]
This research shows how spatial indicators from openrouteservice (ORS) can support building-level demographic predictions using machine learning. The study combines ORS APIs, building attributes, and POI data to estimate population and age characteristics in German cities, offering insights into the relationship between urban accessibility and demographic patterns. In today’s data-driven world, understanding cities at a […]
The Climate Action Navigator is a new dashboard by HeiGIT that displays high-resolution spatial indicators related to climate action. The dashboard can help communities, organizations, and decision-makers identify local strengths and highlight areas for improvement. Join the launch event to learn how it can be used to develop locally tailored solutions for more sustainable cities and communities.
From January to March 2025, Dr. Steffen Knoblauch undertook a post-doctoral research visit at the African Institute of Mathematical Sciences (AIMS) in Cape Town, South Africa. His research focused on integrating Earth Observation data with bioacoustics, building on his PhD work in spatiotemporal mosquito monitoring for diseases such as Dengue. The primary focus of his […]
The paper addresses the global shortage of detailed road surface data by leveraging street-view imagery from Mapillary and advanced deep learning techniques. Traditional datasets like OpenStreetMap (OSM) often lack comprehensive road surface attributes—with only about 30–40% coverage—hindering applications such as travel time estimation, disaster response routing, urban planning, and environmental assessments. To fill this gap, […]
The full article was originally published on geoawesome. The management of Municipal Solid Waste (MSW) represents a significant challenge, particularly in regions lacking adequate waste management infrastructure. In Africa, several regions are identified as critical hotspots for waste mismanagement. In 2012, only 55% of MSW was collected across Africa, with a mere 4% being recycled, […]
We’re excited to share the release of the ohsome-planet – a new software library on GitHub, marking a significant step toward the development of ohsome 2.0. This tool is designed to facilitate the transformation of raw OpenStreetMap (OSM) history data into the GeoParquet format, making it more accessible and efficient for spatial data analysis. What […]
With the increasing availability of global disease datasets, Visual Analytics (VA) has emerged as a valuable tool in spatial epidemiology, particularly for studying serotype interactions in diseases like dengue. Dengue, caused by four serotypes (DENV1-DENV4), poses a significant global health threat exacerbated by urbanization and climate change. Traditional approaches rely on static mapping or animation […]
Scientific Reports publishes a paper by Steffen Knoblauch et al. that underscores the critical importance of integrating vector ecology and human behavior into advanced disease modeling frameworks. The increasing availability of human movement data presents significant potential for tackling global public health challenges, especially in the context of infectious diseases. This is particularly important for […]
Join our collaborative workshop at the AGILE Conference in Dresden on June 10, where researchers, practitioners, and policymakers come together to explore methods in walkability and pedestrian accessibility assessment. Workshop scope The assessment of walkability and pedestrian accessibility through GIS methods has gained momentum, offering urban planners and policymakers new ways to assess and implement […]