new publication: r.pi a GRASS package for semi-automatic spatial pattern analysis

new publication: r.pi a GRASS package for semi-automatic spatial pattern analysis

June 22, 2017

Our MEE paper on the r.pi GRASS package is now available online: “r.pi: a GRASS GIS package for semi-automatic spatial pattern analysis of remotely sensed land cover data”. This package allows a wide range of spatial pattern analysis from individual based dispersal models to graph theory or omni-directional connectivity metrics. It is part of the GRASS software and all outputs are provided in spatial formats and can be used for further processing in any spatial software such as GRASS, QGIS or R.

The full publication can be accessed here:

Wegmann, M., Leutner, B. F., Metz, M., Neteler, M., Dech, S. and Rocchini, D. (), r.pi: a GRASS GIS package for semi-automatic spatial pattern analysis of remotely sensed land cover data. Methods Ecol Evol.

 

 

you may also like:

Exploring Arctic Vegetation Patterns: PhD Fieldwork on Svalbard

Exploring Arctic Vegetation Patterns: PhD Fieldwork on Svalbard

This summer, one of our PhD students, Elio Rauth, embarked on an exciting scientific journey to the High Arctic—conducting detailed vegetation surveys on the remote archipelago of Svalbard. The aim? To better understand the intricate mosaic of Arctic plant communities...

John Friesen gives a talk at DLR

John Friesen gives a talk at DLR

On the 17th of July, Dr. John Friesen gave a inspiring talk at the seminar of the department "Georisks and Civil Security (GZS)" at the Earth Observation Center (EOC) of the German Aerospace Center (DLR). The talk was titled "Urbanization and infrastructure in the...

EORC and EAGLE summer BBQ

EORC and EAGLE summer BBQ

We’re happy to announce that our summer BBQ is happening again on Thursday, July 24th at 4 pm! Alongside good food and a relaxed atmosphere, we’re also hosting a series of short talks highlighting exciting topics in Earth Observation and environmental science: “The...