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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. Geographic data visualization
9. Using online geographic data sources

Part III - Case studies

10. Spatial interpolation
11. Spatial network analysis
12. Watershed analysis
- 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. Spatial interpolation

10. Spatial interpolation#

This chapter will teach you how to conduct Inverse Distance Weighting (IWD) interpolation using point data.

Sections:

Introduction to spatial interpolation
Inverse Distance Weighting interpolation with Python
Exercises

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Exercises

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Introduction to spatial interpolation

By Henrikki Tenkanen, Vuokko Heikinheimo, David Whipp

© Copyright 2020-2025, Henrikki Tenkanen, Vuokko Heikinheimo, David Whipp.