Our article in MEE got accepted “r.pi: a GRASS GIS package for semi-automatic spatial pattern analysis of remotely sensed land cover data” by Martin Wegmann, Benjamin Leutner, Markus Metz, Markus Neteler, Stefan Dech, Stefan and Duccio Rocchini. It outlines the capabilities of the r.pi package to analyze spatial patterns derived from remote sensing land cover data to inform about landscape conditions and changes. Such fragmentation measures are relevant for ecology or conservation as well as for remote sensing to produce value-added landcover maps that provide details on the spatial structure of the landscape.
New publication on the analysis of Migrants’ interests using social media data
A new study was published by researchers from the German Aerospace Center (DLR) in Oberpfaffenhofen, and the University of Würzburg. This study aimed to improve knowledge of the interests and perspectives of West African migrants by identifying topics which are over-...