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.

本数据集涵盖生成普查区域（census tract）与住房业主贷款公司（Home Owners’ Loan Corporation, HOLC）多边形层级热应激指数，以及城市尺度隔离指数所需的全部数据与代码，相关资源均可在此获取。

`Urbanized_CT_summer_env.csv` 包含美国本土各城市普查区域的模型模拟数据：2014-2018年夏季平均最高体表温度（TSKINmax）、气温（ATmax）、最高与最低比湿（QTmax与QTmin），同时包含由MODIS Aqua卫星日间过境数据反演得到的对应地表温度（MODIS_LST_day）。

`Urbanized_CT_sociodemo.csv` 收录美国本土各城市普查区域的2017年五年期美国社区调查（American Community Survey, ACS）社会经济数据，具体包括人口总量（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普查区域的空间范围数据。上述三份数据集可通过`Census_geoid`字段实现关联匹配。

`Redlining_summer_env.csv` 格式与`Urbanized_CT_summer_env.csv`类似，但对应住房业主贷款公司（HOLC）评级区域，该区域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。

Scripts文件夹内包含两份脚本文件：
1. `Calculate heat indices.ipynb` 为Jupyter Notebook交互式编程笔记本，用于估算夏季平均最高相对湿度的上下限（RH_min与RH_max）、热指数（HI）的上下限（HI_min与HI_max），以及温湿度指数（Humidex, HUMIDEX）的下限值。
2. `Segregation_calculate.R` 为R语言脚本，用于计算各类不平等指数，包括熵指数、相异指数、基尼系数，以及针对热指数的种族与收入集中度指数。