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Part I - Python essentials

Overview and learning goals
1. Getting started
2. Basic programming concepts
3. Introduction to data analysis
4. Introduction to data visualization

Part II - Introduction to GIS with Python

Overview and learning goals
5. Getting started
6. Vector data processing
7. Raster data processing
8. Spatial network analysis
9. Geographic data visualization
10. Using online geographic data sources

Part III - Case studies

11. Spatial accessibility modelling
12. Watershed analysis
- Learning objectives
- Watershed analysis with pysheds
13. Conclusions

Appendices

A. Working effectively in Python
B. Solutions to questions and exercises
- B.1 Question solutions
- B.2 Exercise solutions

Back matter

Acknowledgements
Glossary
References
About the authors

Datasets

Data overview
NOAA Weather data

.rst

9. Geographic data visualization

9. Geographic data visualization#

Sections:

Learning objectives
9.1 Introduction to geographic visualization
9.2 Static maps
9.4 Interactive maps

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By Henrikki Tenkanen, Vuokko Heikinheimo, David Whipp

© Copyright 2020-2026, Henrikki Tenkanen, Vuokko Heikinheimo, David Whipp.