Search results for: “autocorrelation”

Talk “Mixed-Scale Spatial Autocorrelation” in Osnabrück

Last Tuesday, René Westerholt gave a talk about the assessment of spatial autocorrelation within social media data. It was part of the regular colloquium of the Institute for Geoinformatics and Remote Sensing at Osnabrück University. The talk provided an overview of challenges that occur due to the spatially and semantically mixed nature of social media…

2015-07-06
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
A local scale-sensitive indicator of spatial autocorrelation for assessing high- and low-value clusters in multi-scale datasets (e.g., social media datasets)

Georeferenced user-generated datasets like those extracted from Twitter and similar social media feeds are increasingly gaining the interest of spatial analysts. Such datasets oftentimes reflect a wide array of real-world phenomena. However, each of these phenomena takes place at a certain spatial scale. Therefore, user-generated datasets are of multi-scale nature. Such datasets cannot be properly…

2014-12-30
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…

2019-06-25
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
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
GIScience Group Successful at the AGILE

The GIScience group attended the AGILE 2018 conference to present about a diversity of topics. More participants than ever have attended the conference in Lund, Sweden (12–15 June 2018). They discussed scientific topics related to the general theme of the conference, Geospatial Technologies for All. The following short papers have been presented and been published…

2018-06-17
Today VGI-ALIVE Workshop at AGILE 2018 Lund, Sweden

If you are in Lund, Sweden today you might consider joining our VGI-ALIVE Workshop at AGILE Conference 2018. The latest programme can be found here. It includes keynotes by Andrea Ballatore and Stefano Dea Sabata and a range of interesting contributions, including Enhancing Crowdsourced Classification on Human Settlements Utilizing Logistic Regression Aggregation and Intrinsic Context…

2018-06-12
A novel test on the influence of spatial structure on the variance in local conditions

Statistical parameters often vary across geographic landscapes. For instance, when the the variance of georeferenced random variables is not stable, this might hint on variegated processes or contextual conditions in different sub-regions. Analysing such heterogeneous areas is challenging because an explicit consideration of this so-called spatial heterogeneity is required. Various approaches exist that take account…

2017-11-29
Kicking-Off: 2 new projects in DFG priority programme “VGIscience”

Recently we attended the Kick-Off Meeting of the DFG Priority Programme “VGiscience” in Würzburg, in which we are involved through two projects. René Westerholt presented these projects to the audience of all interdisciplinary collaborators. The principal aim of this very first meeting was to explore potential cross-project collaborations, and to outline an envisaged upcoming summer…

2016-12-07
Mining and correlating traffic events from human sensor observations with official transport data using self-organizing-maps

Cities are complex systems, where related Human activities are increasingly difficult to explore within. In order to understand urban processes and to gain deeper knowledge about cities, the potential of location-based social networks like Twitter could be used a promising example to explore latent relationships of underlying mobility patterns. In a recently published paper (Steiger…

2016-11-16
Social Media Data: Topological Outliers and Their Influence on Spatial Analysis

Social media data is one of the recent and prominent sources of georefrenced social information. It allows in-situ insights into the everyday lifes of ordinary people. For all that, social media data also confronts us with considerable analytical challenges. One of these challenges is the mingling of different user habits, functions of geographic space and,…

2016-09-10