Tutorials and lab exercises for the "Introduction to statistical modelling for spatial data analysis" course at UBT.
- lab_python:
Python tutorial including basic data types and operators, containers, control-flow, comprehension, broadcasting, class (object-based modelling, inheritance, super(), magic methods), numpy, matplotlib.
- lab_descriptive:
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Discriptive statistics (e.g. moment statistics, variance mean ration, data distribution, scatterplot). Dataframe data processing (pandas).
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Spatial data exploration:
- Spatial data visualisation (geopandas).
- Spatial pattern analysis: Quadrant analysis and Moran's I (global and local), kernel functions.