Tag: Ambient Geospatial Information

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. In a…

2018-07-20
Successful PhD Defence by René Westerholt on The Analysis of Spatially Superimposed and Heterogeneous Random Variables Using the Example of Geosocial Media Data

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…

2018-06-19
Invitation: Colloquium talk by Dr. Michael Bauder about the dialectic of space in Ambient Geospatial Information

We cordially invite all interested to our forthcoming talk next Monday about data shared online which provide geographic information. Dr. Michael Bauder from the Institute for Environmental Social Sciences and Geography, University of Freiburg, will report about the relation between material space and virtual space represented by so-called Ambient Geospatial Information from social media platforms. He…

2016-10-28