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Patrick Schratz

wiss. Mitarbeiter
Patrick Schratz


Institut für Geographie
Department of GISsience Group
Room 126
Grietgasse 6
07743 Jena

Phone: +49 3641-9-48968
Fax: +49 3641-9-48852
office hours:
nach Vereinbarung

Patrick Schratz

Research and teaching assistant

Within the framework of my disseration I work as a researcher in the EU-project "LIFE Healthy Forest".
We aim to better understand the growing conditions of invasive pathogenic agents affecting pine plantations in northern Spain.
I use the programming language R for all kind of (spatial) statistical and machine-learning analysis in combination with remote sensing data and products.
I am an active contributer/maintainer to/of several R packages.

Research focus

  • Statistical and machine-learning methods in the geospatial domain
  • Supporting use of remote sensing data to solve questions in the field of ecology
  • Use and development of the programming language R

Current project

LIFE Healthy Forest

Curriculum vitae

Since 10/2016
Researcher in the EU project "LIFE Healthy Forest"

10/2014 - 09/2016
Master of Science in Geoinformatics.
Thesis: Modeling the Spatial Distribution of Hail Damage in Pine Plantations of Northern Spain as a Major Risk Factor for Forest Disease

10/2011 - 09/2014
Bachelor of Science in Geography.
Thesis: Investigation of the ASAR BIOMASAR GSV maps from 2005 and 2010 using optical satellite data at different temporal and spatial resolution in Northeast China


For more and and up-to-date information please see my personal website:


Muenchow, J., Schratz, P. & Brenning, A. (2017). RQGIS: Integrating R with QGIS for statistical geocomputing. The R Journal, 9, 2, 409-428,

Schmullius, C., Balling, J., Schratz, P., Thiel, C., Santoro, M., Wegmuller, U., Li, Z., Yong, P. (2016): Forest DRAGON-3: Decadal trends of Northeastern Forests in China from Earth Observation Synergy. Proc. 'Dragon 3 Final Results & Dragon 4 Kick-Off Symposium', Wuhan, PR China, 4-8 July 2016 (ESA SP-739, August 2016)