Data and code from: Low-income, minority-serving public schools in Southern California have disproportionately high surface temperatures

Data and associated analysis code for Murillo et al. (submitted), etntitled "Low-income, minority-serving public schools have disproportionately high surface temperatures." Several data files and one code script for analysis, including the core files: Murilloetal-MetaData-26June26.csv -Provides metadata (header, description, units, measurement type) for each column of the file entitled "Murilloetal-Data-26June26.csv" Murilloetal-Data-26June26.csv - Provides the core data in the study of the correlations between school surface temperatures (mean, min, max with and without pixels that include building roofs) and median household income, building height, student ethnicity/race, distance of school from coastline, and normalized differential vegetation index. Murilloetal-Rcode-18June26-Zenodo.R - Provides the R code used to generate the statistical analysis and figures in the study using the data files entitled "Murilloetal-Data-26June26.csv", "IrvineWeatherStation-HourlyTempData.csv", "JohnWayneFullertonAirport-HourlyTempData.csv" and "WeatherStationTemperatureData-ECO-L2T-LSTE-002-results.csv." This version updated code fixes/improves minor issues and adds an analysis of the relationships between land surface temperature and air temperature at several weather stations in Orange County. Contact Gregory R. Goldsmith (goldsmith at chapman dot edu) for additional information.