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Tag Archive 'Social Media Data'

Heidelberger Geoinformatiker machen im Projekt „SocialMedia2Traffic“ geokodierte Informationen nutzbar
Navigationsdienste benötigen aktuelle Verkehrsinformationen, um geeignete Routen zu ermitteln und die Fahrzeit möglichst genau zu berechnen. Dafür können nun auch frei zugängliche Daten aus Sozialen Medien und der Weltkarte OpenStreetMap genutzt werden. Ein entsprechendes System, mit dem sich aus ihnen die Verkehrsgeschwindigkeit abhängig von der Tageszeit [...]

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Up-to-date traffic information is a prerequisite for navigation solutions to determine the best route and travel time. In the SocialMedia2Traffic project by HeiGIT and GIScience Heidelberg , conclusions about current traffic density and speed will be derived based on data from social media. For intro blog post, click here.
Schematic workflow:

Tomorrow, Tuesday 13.04.2021, 10am MESZ, a [...]

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(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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Recently our former team member Rene Westerholt (now at Warwick UK) received this years prize for the best PhD at “Förderpreis Runder Tisch GIS München 2019“. The PhD was done in Heidelberg within the graduate school “CrowdAnalyser – Spatio-temporal Analysis of User-generated Content”.  We concratulate cordially!
The following papers are part of the cummulative PhD thesis [...]

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A new study has been published in the international open access journal Geo-spatial Information Science (GSIS, Taylor & Francis), that explores the land use/land cover (LULC) separability by the machine-generated and user-generated Flickr photo tags (i.e. the auto-tags and the user-tags, respectively), based on an authoritative LULC dataset for San Diego County in the United [...]

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A mechanistic understanding of human activity patterns lays a foundation for many applications. The majority of the current research aims to outline human activity patterns mainly from spatiotemporal perspectives (i.e., modeling human mobility patterns), lacking of understanding of the motivations behind behaviors. The aim of a recently published study is to model and understand human [...]

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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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Dear colleagues,
Time is flying and the PLATIAL’18 workshop is getting closer and closer! Next week we are looking forward to an interesting and varied programme of talks in Heidelberg. They will discuss place-related topics ranging from philosophical questions to [...]

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Two papers from GIScience Heidelberg have been contributed to and accepted for the 10th International GIScience Conference 2018 in Melbourne, Australia. They will be presented on Wednesday and Thursday respectively. Looking forward to a fruitful discussion!

Westerholt, R., Gröbe, M., Zipf, A. and Burghardt, D. (2018): Towards the statistical analysis and visualization of places. 10th International [...]

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This week our GIScience Heidelberg team member Rene Westerholt most successfully defended his PhD! Congratulations! Very well deserved!

The thesis is located at the interface between spatial analysis methodology and the characteristics of spatially superimposed random variables. Three types of contributions are presented:
(i) the interactions of spatial analysis techniques with spatially superimposed random variables
are investigated;
(ii) novel [...]

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