Regular course within the MSc Physical Geography at Marburg University.
Data analysis is a key competence of professional geographers but it requires profound knowledge in both (statistical) analysis methods and computer sciences. While the reason for the former is obvious, the latter is a direct result of a growing data deluge, induced by technological progress on both the field of data collection and the one of data distribution.
In this module we will learn how to describe data and infer information from it by using the statistical scripting language R. Using R will not just open the door to a cosmos of data analysis functionality but also provide a flexible (also not really ideal) tool for workflow automation in the disciplinary context.
Please note that this module will focus on datasets which are not spatially explicit. Spatially explicit data analysis will be in the focus of the introductory and advanced remote sensing and GIS related modules.
The individual sessions can be grouped into three sections:
The course has 1 session per week, 3 hours per session.
|First things first|
|1||First things first||Data and information, R, R Studio, R markdown, GitHub, GitHub classroom|
|2||First things second||Working environment, data sets, data types, data structures, logical operators, control structures|
|3||Look at your data||Reading and writing (tabulated) data, visual data exploitation, descriptive statistics|
|4||Clean your data||Tailoring data sets, fill values and NA, aggregating, merging or sub-setting data sets|
|5||Explain your data||Linear regression modelling, confidence intervals, sample tests, variance analysis|
|6||Predict your data||Cross-validation|
|7||Select your variables||Multiple linear models, feature selection|
|8||Predict your non-linear data||Generalized additive models|
|9||T-4 and holding||Build-in hold to finish up the explanation sessions|
|10||Predict your temporal data||Auto-correlation, AR and ARIMA models|
|11||Explain your temporal data||Decomposing time series|
|Visualization and wrap up|
|12||Visualize your data||Publication quality graphics|
|13||Visualize your map data||Publication quality graphics|
|14||Wrap up||Feedback, goodbye|