Tag: social media
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SocialMedia2Traffic bei Fachaustausch Geoinformation “Smarte Region Rhein-Neckar”
Diesen Donnerstag, 25.11.2021, werden wir unser Kooperationsprojekt SocialMedia2Traffic beim Fachaustausch Geoinformation zum Thema “Smarte Region Rhein-Neckar” vorstellen. Aktuelle Verkehrsinformationen sind eine Voraussetzung für Navigationslösungen, um die beste Route und genaue Reisezeiten zu ermitteln. Diese sind momentan jedoch nicht offen verfügbar. Im Projekt SocialMedia2Traffic entwickeln eine Methode, um Verkehrsinformation aus georeferenzierten Social-Media-Daten zu extrahieren und offen…
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geoEpi – new DFG research project on spatio-temporal epidemiology of emerging viruses
A couple of viruses are of global interest with respect to human health and well-being. These pathogens include the novel coronavirus SARS-CoV-2, Dengue, Chikungunya, Yellow fever, Zika and Ebola. These viruses show interesting spatio-temporal dynamics. Improved understanding of the driving and moderating factors will help to cope with these pathogens. The recently funded new project…
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New mFund project: start of SocialMedia2Traffic – derivation of traffic information from social media data
(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…
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Exploration of OpenStreetMap Missing Built-up Areas using Twitter Hierarchical Clustering and Deep Learning in Mozambique
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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Detecting OSM Building Facades with Graffiti Artwork Based on Street View Images and Social Media using Deep Learning
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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Methodological aspects of the spatial analysis of geosocial media feeds: from locations towards places
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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Understanding human mobility from social media data for epidemic surveillance in urban environment
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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An exploration of the interaction between urban human activities and daily traffic conditions: A case study of Toronto, Canada
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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Successful DFG VGIscience Collaborative Research Week in Heidelberg
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) •…
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Coupling maximum entropy modeling with geotagged social media data to determine the geographic distribution of tourists
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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Colloquium on Micro Diagrams for Geovisual Analysis of Point Datasets
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…
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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…