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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

10. Using online geographic data sources

10. Using online geographic data sources#

Sections:

Learning objectives
10.1 Retrieving OpenStreetMap data
10.2 Retrieving data from Web Feature Service (WFS)
10.3 Retrieving data from Web Coverage Service (WCS)
10.4 Reading data from spatial databases
Exercises

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Interactive maps

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Learning objectives

By Henrikki Tenkanen, Vuokko Heikinheimo, David Whipp

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