Posted in Press release on Mar 15th, 2021
(deutsche Version siehe unten)
Up-to-date traffic information is a prerequisite for navigation solutions to determine the best route and travel time. However, there is no freely available traffic information on a global and federal level. “SocialMedia2Traffic uses freely available data from social media such as Twitter messages,” says Prof. Zipf, “to determine current traffic information such [...]
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Accurate and detailed geographical information digitizing human activity patterns plays an essential role in response to natural disasters. Volunteered geographical information, in particular OpenStreetMap (OSM), shows great potential in providing the knowledge of human settlements to support humanitarian aid, while often the availability and quality of OSM remains a major concern. The majority of existing [...]
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Posted in OSM, Publications, Research, VGI Group on Feb 5th, 2020
As a recognized type of art, graffiti is a cultural asset and an important aspect of a city’s aesthetics. As such, graffiti is associated with social and commercial vibrancy and is known to attract tourists. However, positional uncertainty and incompleteness are current issues of open geo-datasets containing graffiti data. In a newly published paper, we [...]
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Posted in Publications on Jun 25th, 2019
A new journal article about Methodological aspects of the spatial analysis of geosocial media feeds: from locations towards places has just been published in gis.science Vol 2 2019. It covers some main aspects and findings of the PhD Thesis of our team member Rene Westerholt (now at Warwick UK) and relates those to the analysis of place in [...]
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Posted in Uncategorized on Jun 5th, 2019
Vector-born diseases – such as Malaria, Dengue or Zika are serious health hazards in tropical regions. The outbreaks show high temporal and spatial variability. For example, the number of dengue cases in the state of São Paulo increased by 2,124% in the first 11 weeks of 2019 (up to March 16, 229,064 cases were reported), [...]
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Posted in Publications on Oct 19th, 2018
Understanding how citizens interact with transportation system is a key to solving a variety of urban issues in general and traffic congestion in particular. Recently, scholars have put efforts on the pertinent work ranging from developing traffic predictors to understanding human mobility and activity patterns. Multiple types of data have been used, of which crowdsourced [...]
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Posted in Crowd Analyser, Events, OSM, VGI Group on Jun 4th, 2018
Last week about 30 scientists from different insitutions from all across Germany came together in Heidelberg to conduct collaborative research. The research week is the result of an intense collaboration within the DFG Priority Programme VGIscience, which deals with the following topics
Information Retrieval and Analysis of VGI:
• information extraction (space, time, semantics)
• data aggregation and [...]
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Posted in Publications on Apr 25th, 2018
Modeling the geographic distribution of tourists at a tourist destination is crucial when it comes to enhancing the destination’s resilience to disasters and crises, as it enables the efficient allocation of limited resources to precise geographic locations. Seldom have existing studies explored the geographic distribution of tourists through understanding the mechanisms behind it. A recently [...]
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Posted in Events on Apr 20th, 2018
We cordially invite everybody interested to our next open GIScience colloquium talk
The speaker is Mathias Gröbe
Technical University of Dresden, Department of Geosciences, Institute of Cartography
When: Monday 23.04.2018, 14:15
Where: INF 348, room 015 (Institute of Geography, Heidelberg University)
Micro Diagrams: A Multi-Scale Approach for Geovisual Analysis of Categorised Point Datasets
Location-based social media from different platforms such as Twitter and [...]
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Posted in Crowd Analyser, Publications on Mar 17th, 2018
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 [...]
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