Geographic Data Science with Python

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Preface

Table of Contents

Part I - Building Blocks

Overview
Geographic thinking for data scientists
Computational Tools for Geographic Data Science
Spatial Data
Spatial Weights

Part II - Spatial Data Analysis

Overview
Choropleth Mapping
Global Spatial Autocorrelation
Local Spatial Autocorrelation
Point Pattern Analysis

Part III - Advanced Topics

Overview
Spatial Inequality Dynamics
Clustering & Regionalization
Spatial Regression
Spatial Feature Engineering

Endmatter

References

Datasets

Overview
AirBnb
Airports
Brexit
Countries
GHSL
H3 Grid
Mexico
NASA DEM
San Diego Tracts
Texas
Tokyo Photographs
US County Income 1969-2017

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By Sergio J. Rey, Dani Arribas-Bel, Levi J. Wolf
© Copyright 2020.

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.