**Quantitative Methods for Geographers** is a course in
the Global
Change Geography MSc Program at Humboldt-University of Berlin. The
students learn to describe, explain and systematise different advanced
statistical and mathematical approaches to the quantitative analysis of
geo- and environmental data and the modeling of human-environment
systems, e.g. methods of applied and multivariate statistics,
mathematical modeling and time series analysis. On the basis of the
acquired theoretical and exemplified knowledge, the students will apply
existing approaches independently and adapt them to specific problems
where necessary. They will develop scientific research questions in the
fields of data analysis and modeling and, using the acquired applied
programming skills, plan and implement their own analyses.

Crawley, MJ (2012). The R Book. Wiley

Dormann, C. (2013). Parametrische Statistik: Verteilungen, maximum likelihood und GLM in R. Springer. (German)

McElreath, R. (2015). Statistical Rethinking. CRC Press

Wickham, H. (2014). Advanced R. CRC Press

Wickham, H. (2017). R for Data Science. O’Reilly

Zuur, A. (2007). Analyzing Ecological Data. Springer

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