Search results for: “autocorrelation”

  • Two new DFG projects on VGI, OSM Quality and Social Media Analysis

    recently we were happy to receive the notification that two new research projects will be funded by the Deutsche Forschungsgemeinschaft (DFG) the German main funding agency for fundamental research. Both projects belong to the DFG Priority Programme “Volunteered Geographic Information: Interpretation, Visualisation and Social Computing“ (SPP 1894). The two projects are: A:) IntrisicOSMquality: A framework…

  • Twitter as an indicator for whereabouts of people? Correlating Twitter with UK census data

    Detailed knowledge regarding the whereabouts of people and their social activities in urban areas with high spatial and temporal resolution is still widely unexplored. Thus, the spatiotemporal analysis of Location Based Social Networks (LBSN) has great potential regarding the ability to sense spatial processes and to gain knowledge about urban dynamics, especially with respect to…

  • 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…

  • Twitter location (sometimes) matters

    In contrast to photo-based VGI (e.g. Flickr) the correlation between the place where an information has been created and what the information is about is less intuitive for text-based VGI. In order to gain more insight into the relationship between text information generated in mobile contexts (e.g. via smartphones) and their recorded location, research has…