Urban census tract and HOLC polygon grade summaries and scripts from Chakraborty et al. 2023

All data and code required to generate census tract and HOLC polygon level heat stress indices, as well as the urban-scale segregation indices can be found here.

Urbanized_CT_summer_env.csv includes the 2014-2018 average maximum summer skin temperature (TSKINmax), air temperature (ATmax), and minimum and maximum specific humidity (QTmax and QTmin) from the model simulations, as well as the corresponding derived land surface temperature from the MODIS Aqua daytime overpass (MODIS_LST_day), for each urban census tract in the continental US.

Urbanized_CT_sociodemo.csv includes socioeconomic information from the 5-year 2017 American Community Survey, including population (Pop), income (Income), and number of people who are white (White), black (Black), American Indian (AmInNat), asian (Asian), hawaiian (Hawaiin), or of another race (Other) for each urban census tract in the continental US.

Urban_census_tracts.geojson includes the spatial extent of all urban census tracts in the continental US.

The three datasets above can be linked using the 'Census_geoid' column.

Redlining_summer_env.csv is similar to Urbanized_CT_summer_env.csv, but corresponding to the Home Owners’ Loan Corporation grades, the polygons for which were digitized by University of Richmond’s Digital Scholarship Lab.

Within the Scripts folder, there are two scripts:

Calculate heat indices.ipynb is a Jupyter Notebook for estimating the lower and upper bound for average maximum summer relative humidity (RH_min and RH_max) and heat index (HI_min and HI_max), as well as the lower bound for Humidex (HUMIDEX).

Segregation_calculate.R is an R script for calculating various inequality indices, including entropy index, dissimilarity index, gini coefficient, and concentration indices against race and income for the heat index.

生成人口普查区块（census tract）与房主贷款公司（Home Owners’ Loan Corporation, HOLC）多边形层级热应激指数（heat stress indices），以及城市尺度隔离指数（urban-scale segregation indices）所需的全部数据与代码，均可在此处获取。

Urbanized_CT_summer_env.csv 包含2014-2018年夏季平均最高皮肤温度（TSKINmax）、空气最高温度（ATmax），以及模型模拟得到的比湿极值（QTmax与QTmin），同时附带美国本土各城市人口普查区块通过MODIS Aqua卫星日间过境获取的对应派生地表温度（MODIS_LST_day）。

Urbanized_CT_sociodemo.csv 包含源自2017年五年期美国社区调查的社会经济信息，涵盖美国本土各城市人口普查区块的总人口（Pop）、收入水平（Income），以及白人（White）、黑人（Black）、美洲原住民（American Indian, AmInNat）、亚裔（Asian）、夏威夷原住民（Hawaiian）及其他种族（Other）的人口数量。

Urban_census_tracts.geojson 包含美国本土全部城市人口普查区块的空间范围。

上述三类数据集可通过"Census_geoid"字段进行关联匹配。

Redlining_summer_env.csv 与Urbanized_CT_summer_env.csv结构一致，但数据对应房主贷款公司评级的多边形数据，该类多边形由里士满大学数字学术实验室（University of Richmond’s Digital Scholarship Lab）完成数字化采集。

在Scripts文件夹下包含两个脚本文件：

Calculate heat indices.ipynb 为Jupyter Notebook脚本，用于估算夏季平均最高相对湿度的上下界（RH_min与RH_max）、热指数（HI_min与HI_max），以及温湿指数（Humidex）的下界。

Segregation_calculate.R 为R语言脚本，用于计算各类不平等指数，包括针对热指数的种族与收入维度的熵指数、相异性指数、基尼系数及集中度指数。