Tag: Spatial Statistics

Job Offer: “Lead: Geo Machine Learning for Good”, Senior Spatial Data Science Expert (m, f, d), 100%, permanent, HeiGIT gGmbH

Du willst Deine Machine Learning Kompetenz zum Wohle der Gesellschaft und Umwelt einsetzen? Du willst die Verfügbarkeit und Qualität von Geodaten verbessern und geoinformatische Methoden weiterentwickeln, die für offene, gemeinnützige Anwendungen im Bereich Nachhaltigkeit, Mobilität und humanitäre Hilfe eingesetzt werden? Das ist auch unsere Mission! Die HeiGIT gGmbH ist ein forschungsorientiertes, gemeinnütziges Start-up mit den…

2021-12-16
Invited talk at the Spatial Data Science Symposium 2019, Santa Barbara

The Center for Spatial Studies, Department of Geography at the University of California, Santa Barbara is hosting the Spatial Data Science Symposium 2019 this coming week with the title “Setting the Spatial Data Science Agenda” Over 40 selected participants will gather to discuss the future of Spatial Data Science at this expert meeting. Instead of…

2019-12-07
Prize for best PhD for Rene Westerholt “Förderpreis Runder Tisch GIS München”

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…

2019-04-08
Towards the statistical analysis and visualization of places

The concept of place recently gains momentum in GIScience. In some fields like human geography, spatial cognition or information theory, this topic already has a longer scholarly tradition. This is however not yet completely the case with statistical spatial analysis and cartography. Despite that, taking full advantage of the plethora of user-generated information that we…

2018-08-14
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
Statistical investigation of geo-tagged shipping information

Inspection and analysis of geo-tagged shipping information could provide insights to the transformation of a variety of “global spaces” during times of rapid globalization. One of the famous resources of shipping data is a shipping newspaper called LLOYDS lists. The list contains weekly and later daily information on global shipping since the late seventeenth century…

2015-11-05
Combining Social Media and Authoritative Data towards identifying useful Information for Disaster Management

A Study on the Twitter usage in the River Elbe Flood of June 2013 In recent years, social media emerged as a potential resource to improve the management of crisis situations such as disasters triggered by natural hazards. Although there is a growing research body concerned with the analysis of the usage of social media…

2015-05-15
New ways in analysing multi-scale datasets

Many user-generated datasets (e.g., social media) reflect a number of different phenomena. Consequently, these datasets also comprise very different spatial scales. It goes without saying that this evokes tremendous challenges when conducting spatial statistical analyses of such datasets. When assessing spatial autocorrelation among the observations, for example, classical approaches are usually not appropriate. These were…

2015-05-03
A Local Multi-Scale Spatial Autocorrelation Measure for Social Media Datasets

Some time ago we reported about a new method for assessing spatial autocorrelation among points in social media datasets. A major contribution thereby is the ability of restricting the analysis to specific scales limited by both, an upper and a lower bound. The corresponding paper is now officially available online at IJGIS: Westerholt, R., Resch,…

2015-02-15