Professur für Geoinformatik / GIScience (GIS)

Die Abteilung Geoinformatik betreibt Grundlagenforschung und angewandte Forschung im Bereich GIScience und Geoinformatik. Dabei liegt ein Fokus auf der Untersuchung nutzergenerierter Geoinformationen (VGI, Crowdsourcing, Citizen Science). Zu diesem Zweck entwickeln wir innovative Methoden und Analyseverfahren u.a. in den Bereichen Humanitäre Hilfe (Katastrophenmanagement), Smart Mobility und Big Spatial Data Analytics (VGI Datenqualität etc.). Das „Heidelberg Institute for Geoinformation Technology“ (HeiGIT gGmbH), An-Institut an der Universität Heidelberg, erlaubt uns dabei, die in der Forschung erlangten Erkenntnisse in praktische Lösungsansätze umzusetzen. Zudem unterstützen wir die Lehre in unseren Geographie-Studiengängen in Form eines breiten Kursangebotes - im Master Geographie ist dabei die Wahl eines ausgewiesenen Schwerpunktes "Geoinformatik" möglich.
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Aktuelle Nachrichten
Tagesaktuelle Nachrichten aus unserer Forschungsgruppe finden Sie auf giscienceblog.uni-heidelberg.de (dieser ist auch als RSS-Feed erhältlich). Unsere Publikationen in wissenschaftlichen Journalen und Beiträge auf Konferenzen finden sich jeweils auf eigenen Seiten. Sie können uns ebenfalls auf Facebook und Twitter folgen.
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 […]
The concept of a “Digital Earth” has long envisioned a future where technological advancements enable the large-scale collection and visualization of spatial and environmental data. Today, open data sources such as OpenStreetMap (OSM) provide crucial spatial information for diverse applications, including urban planning, disaster management, and public health. However, many regions remain insufficiently mapped, particularly […]
The crowdmapping app MapSwipe now integrates also street-level imagery. This new feature enables even mapping efforts that require the highest level of detail, such as detecting waste on the street. The MapSwipe App MapSwipe is an open-source app that enables volunteers to map missing geodata, making global mapping efforts more coordinated and efficient. Free, reliable geodata […]
The COVID-19 pandemic highlighted the importance of understanding human behavior in cities to develop effective public health interventions. Crowd-sourced geospatial data available online can therefore serve as a valuable resource for analyzing such dynamics with Geospatial Artificial Intelligence (GeoAI). However, previous research often struggles with the complexity and heterogeneity of such data, and faces challenges […]
Geospatial technologies offer significant opportunities to address sustainability and resilience challenges by integrating Volunteered Geographic Information (VGI) and remote sensing with environmental science to tackle critical climate-related issues. With the accelerating impacts of rising global temperatures and extreme weather events, communities face increasing demands to manage vital resources, including water, energy, and land. The combined […]
The newly released Sketch Map Tool v2.1 features a higher accuracy in digitizing hand-sketched markings on Sketch Maps, thanks to a larger training dataset and an updated machine learning model for sketch detection. New user metrics show that thousands of Sketch Maps are created every month all over the world. The Sketch Map Tool The […]
GIScience Teamfotos
In Memoriam Peter Meusburger

Am 18. Dezember 2017 starb viel zu früh Prof. Dr. Dr.h.c. Peter Meusburger. Wir trauern um einen großen Wissenschaftler, Lehrer und geschätzten Kollegen. Mitte der 90er etablierte er den ersten GIS-Pool an der Universität Heidelberg und startete GIS-bezogene Forschungsaktivitäten. Wir werden Ihn nicht vergessen. (Trauermeldung der Universität)