Spatial Data

This page describes the cleaning process for JSON and GeoJSON data used in spatial analysis across different scales.

The cleaning module Python script can be found here (Cleaning - Spatial Data).

This data is used in appendix fashion, and as GeoJSON data, it's not easily accessed or used as dataframes, and therefore initial or final snippets. However, the process will be described.

JSON and GeoJSON Sources

• Countries
• Canada Provinces and Territories
• US States

Aggregating Sources

1. Countries file was reduced to just Canada and the US.
2. Canada and the US JSON feature properties were named in accordance with the main datasets and for mapping considerations.
3. Canada province/territory and the US states files were named in accordance with the main datasets and for mapping considerations, and then combined into a single file.
4. The Canada province/territory and US state file was dissolved into main regions.

The final results can be seen by use in the mapping functions here. Additionally, the outlines of the main areas are displayed below.

High Aggregation - Country

Medium Aggregation - Region

Low Aggregation - States, Provinces, and Territories