Welcome to the section Multivariate Approaches. This section explores the vast field of geodata and spatial data analysis. In the following subsections, we present the statistical theory, and we provide hands-on coding recipes within R as the programming language. If you still need to get more comfortable with R, going through the section Introduction to the statistical programming language R is recommended first.

Please note that the content of the section Multivariate Approaches complements and extends the material covered in the section Basic of Statistics.

Every effort has been made to prepare this section to ensure the accuracy of the information presented. However, the information given comes without warranty, either express or implied. Neither the author nor Freie Universitaet Berlin will be held liable for any damages caused or alleged to be caused directly or indirectly by the content of this section.

If you find any writing or coding errors or have suggestions to improve the readability, we would appreciate it if you contact us via mail by soga[at]zedat.fu-berlin.de.

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Citation

The E-Learning project SOGA-R was developed at the Department of Earth Sciences by Kai Hartmann, Joachim Krois and Annette Rudolph. You can reach us via mail by soga[at]zedat.fu-berlin.de.

You may use this project freely under the Creative Commons Attribution-ShareAlike 4.0 International License.

Please cite as follow: Hartmann, K., Krois, J., Rudolph, A. (2023): Statistics and Geodata Analysis using R (SOGA-R). Department of Earth Sciences, Freie Universitaet Berlin.