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Part I - Python essentials

1: Getting started
2: Basic programming concepts
3: Introduction to data analysis
4: Introduction to data visualization

Part II - Introduction to GIS with Python

5: Getting started
6: Vector data processing
7: Raster data processing
8: Geographic data visualization
9: Using online geographic data sources

Part III - Case studies

10: Spatial interpolation
11: Spatial network analysis
12: Terrain analysis
13: Conclusions

Back matter

Acknowledgements
Appendices
Glossary
References
About the authors

Datasets

Overview
NOAA Weather data

Theme by the Executable Book Project

Binder

.ipynb

Version control with git

Version control with git#

Content to be added.

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Appendices

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Collaborative coding with GitHub

By Henrikki Tenkanen, Vuokko Heikinheimo, David Whipp
© Copyright 2020-2022, Henrikki Tenkanen, Vuokko Heikinheimo, David Whipp.