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.

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

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

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

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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