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A Minimal Set of Lectures Notes
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Table of contents
About
1
R & RStudio
2
Non-geographic data
3
Geospatial Data
4
Vector Data Model
5
Raster Data Model
6
Coordinate Reference Systems
7
Geodata Visualization
8
Interoperability & FAIR
9
Correlation
10
Regression
11
Understanding Spatial Variability
12
Digital (Soil) Mapping
13
NULL model
14
Proximity Polygons
15
Nearest Neighbours
16
Inverse Distance Weighting
17
Linear Regression
18
Variogram
19
Kriging
20
Regression Tree
21
Random Forests
22
Spatial Cross-Validation
23
Exercises
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21
Random Forests
20
Regression Tree
22
Spatial Cross-Validation
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21
Random Forests
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