Skip to main content

Ctrl+K

Preface

Preface

Fundamentals

1. Geospatial Data
2. Basic Statistics
3. Spatial Relations: Co-location
4. Spatial Relationship: Distance

The Map Compute Framework

5. The Map Compute Framework
6. Local Operations
7. Focal Operation
8. Zone as Mapping Unit and Neighborhood
9. Global Operations, Effective Neighborhoods, and Analysis MUs

Spatial Analysis with Map Compute Framework

10. Neighborhood Relation Operations, Connectivity, and Distance Analysis
11. Multi-criteria Suitability Analysis
12. Point Pattern Analysis: Randomness
13. Point Pattern Analysis: Clusters
14. Spatial Autocorrelation
15. Spatial Interpolation

Appendices

Bibliography
How to write a book using Jupyter-Book on Github

Binder
Colab

Repository
Suggest edit
Open issue

.ipynb
.md

Spatial Interpolation

15. Spatial Interpolation#

Need to convert lecture slides to MD!

previous

14. Spatial Autocorrelation

next

Bibliography

By Xingong Li

© Copyright 2026.