Please note that the program may still be subject to change.
Field trip related to natural hazards and/or environmental monitoring, e.g., excursion to the Thuringian Forest or to the Kyffhäuser Region).
Follow this link for a fortaste to our summer school. This is a recoding of a talk given by Prof. Dr. Alexander Brenning on “Geospatial data science perspectives on physical geography” held on 27.06.2018 at the University of Klagenfurt.
Bischl, Bernd, Michel Lang, Lars Kotthoff, Julia Schiffner, Jakob Richter, Erich Studerus, Giuseppe Casalicchio, and Zachary M. Jones. 2016. “Mlr: Machine Learning in R.” Journal of Machine Learning Research 17 (170): 1–5. http://jmlr.org/papers/v17/15-066.html.
Bivand, Roger S., Edzer Pebesma, and Virgilio Gómez-Rubio. 2013. Applied Spatial Data Analysis with R. 2nd ed. New York: Springer.
Brenning, Alexander. 2012. “Spatial Cross-Validation and Bootstrap for the Assessment of Prediction Rules in Remote Sensing: The R Package Sperrorest.” In, 5372–5. IEEE. https://doi.org/10.1109/IGARSS.2012.6352393.
Brenning, A., M. Schwinn, A. P. Ruiz-Páez, and J. Muenchow. 2015. “Landslide Susceptibility Near Highways Is Increased by 1 Order of Magnitude in the Andes of Southern Ecuador, Loja Province.” Natural Hazards and Earth System Sciences 15 (1): 45–57. https://doi.org/10.5194/nhess-15-45-2015.
Gareth, James, Daniela Witten, Trevor Hastie, and Robert Tibshirani. 2013. An Introduction to Statistical Learning: With Applications in R. Springer Texts in Statistics 103. New York: Springer.
Longley, Paul, Michael Goodchild, David Maguire, and David Rhind. 2015. Geographic Information Science & Systems. Fourth edition. Hoboken, NJ: Wiley.
Lovelace, Robin, Jakub Nowosad, and Jannes Muenchow. 2019. Geocomputation with R. The R Series. CRC Press. https://geocompr.robinlovelace.net/.
Muenchow, Jannes, Patrick Schratz, and Alexander Brenning. 2017. “RQGIS: Integrating R with QGIS for Statistical Geocomputing.” The R Journal 9 (2): 409–28. https://journal.r-project.org/archive/2017/RJ-2017-067/index.html.
Pebesma, Edzer. 2018. “Simple Features for R: Standardized Support for Spatial Vector Data.” The R Journal. https://journal.r-project.org/archive/2018/RJ-2018-009/index.html.
Pebesma, Edzer, and Roger Bivand. 2020. Spatial Data Science. CRC Press. https://keen-swartz-3146c4.netlify.com.