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.
Demography Meets Spatial Analysis: Insights from today’s EORC Talk
A recent EORC Talk at the Earth Observation Research Cluster (EORC) at the University of Würzburg brought together perspectives from demography, geography, and spatial analysis. Sebastian Klüsener and Tamilwai Kolowa from the Federal Institute for Population Research...








