Supplementary Data for "Double Disproportionality in Industrial Siting in Canada"

These are the underlying data sets needed to perform the buffer analysis described in the paper. There are four datasets: "PopBased_DAUrbanRural.csv": Contains information on which Dissemination Areas are urban or rural. "DA_data_weighted_VM.csv": This csv file contains information on the populations of each Dissemination area from the 2016 Canadian Census. This information was originally extracted from the Canadian Census Analyser supported by the University of Toronto. "DA_census.zip": Shapefile of each Dissemination Area from the 2016 Canadian Census. This information was originally extracted from the Canadian Census Analyser supported by the University of Toronto. "NPRI_air.csv": Contains the NPRI air release information. There is also a Python code to perform the buffer analysis. "buffer_function.py": A Python script to perform the buffer analysis from the paper.本数据集为支撑论文所述缓冲区分析的基础数据源，共包含4个数据集： 1. "PopBased_DAUrbanRural.csv"：存储了各普查区域（Dissemination Area, DA）的城乡分类信息。 2. "DA_data_weighted_VM.csv"：该CSV文件包含2016年加拿大人口普查中各普查区域的人口数据，原始数据由多伦多大学（University of Toronto）支持的加拿大人口普查分析工具（Canadian Census Analyser）提取所得。 3. "DA_census.zip"：2016年加拿大人口普查各普查区域的形状文件（Shapefile），原始数据由多伦多大学（University of Toronto）支持的加拿大人口普查分析工具提取所得。 4. "NPRI_air.csv"：包含国家污染物排放登记库（National Pollutant Release Inventory, NPRI）的空气排放相关信息。 此外还附带了用于执行缓冲区分析的Python代码： "buffer_function.py"：用于复现论文中缓冲区分析的Python脚本。