{ "cells": [ { "cell_type": "markdown", "id": "pending-italy", "metadata": {}, "source": [ "# Table of Contents\n", "\n", "- [Prologue](prologue)\n", "\n", "## Part I: Building Blocks\n", "\n", "- [Geographic Thinking for Data Scientists](01_geo_thinking)\n", "- [Geospatial Computational Environment](02_geospatial_computational_environment)\n", "- [Spatial data](03_spatial_data)\n", "- [Spatial weights](04_spatial_weights)\n", "\n", "## Part II: Spatial Data Analysis\n", "\n", "- [Choropleth Mapping](05_choropleth)\n", "- [Spatial Autocorrelation](06_spatial_autocorrelation)\n", "- [Local Spatial Autocorrelation](07_local_autocorrelation)\n", "- [Point Pattern Analysis](08_point_pattern_analysis)\n", "\n", "## Part III: Advanced Topics\n", "\n", "- [Spatial Inequality](09_spatial_inequality)\n", "- [Clustering and Regionalization](10_clustering_and_regionalization)\n", "- [Spatial Regression](11_regression)\n", "- [Spatial Feature Engineering](12_feature_engineering)\n", "\n", "## Endmatter\n", "\n", "- [References](references)" ] } ], "metadata": { "jupytext": { "formats": "ipynb,md" }, "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.7" } }, "nbformat": 4, "nbformat_minor": 5 }