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.
Rock-In: Kicking Off the Semester With Climbing, Conversation, and Community
What better way to start the semester than by climbing some walls and breaking the ice—literally and figuratively? Today, we hosted our first social event of the semester at the local boulder gym: Rock-In! It was a relaxed morning designed to bring everyone...