Getting Started with CyberGISX (AAG 2023)

Introduction

This notebook will walk you through some basic techniques for spatial analysis and visualization in the CyberGIS-Jupyter environment. We will use CDC county-level Social Vulnerability Index (SVI) data to examine the characteristics of SVI and whether they are spatially autocorrelated.

Specifically, this notebook includes functions for

1. Changing coordinate systems,
2. Creating Choropleth maps, and
3. Conducting Moran's I and Local Indicators of Spatial Association (LISA).

Data Structure

├── Getting_Start_with_CyberGISX_AAG2023.ipynb
├── LICENSE
├── README.md
└── data
    ├── SVI2020_US_county.cpg
    ├── SVI2020_US_county.dbf
    ├── SVI2020_US_county.prj
    ├── SVI2020_US_county.sbn
    ├── SVI2020_US_county.sbx
    ├── SVI2020_US_county.shp
    ├── SVI2020_US_county.shp.xml
    ├── SVI2020_US_county.shx
    └── state_lookup.csv