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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

Exercises

Exercises#

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5: Getting started

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