{ "culture": "en-US", "name": "Climate_Change_and_Resiliency", "guid": "3BBA652F-9E29-48B8-AC85-83103C96B8A3", "catalogPath": "", "snippet": "EJ Climate Change and Resiliency factors. The census tract data was used for our social, health, and biophysical analysis of San Diego", "description": "
Below is a description of each column in the attribute table.<\/SPAN><\/P> GEOID: the GEOID for each census block group<\/SPAN><\/P> OVER65_PER: The percent of people who are over 65 in that census block group<\/SPAN><\/P> ISOL65_PER: The percent of people who are living alone and are over 65 in that census block group<\/SPAN><\/P> HED_PER: The percent of people over 25 without a high school diploma<\/SPAN><\/P> LIMENG_PER: The percent of people who speak English less than well<\/SPAN><\/P> NWHITE_PER: The percent of people who identify as non-white<\/SPAN><\/P> LATINX_PER: The percent of people who identify as Latinx<\/SPAN><\/P> BLACK_PER: The percent of people who identify as Black<\/SPAN><\/P> ASIAN_PER: The percent of people who identify as Asian<\/SPAN><\/P> OVER65_DMU: The difference to the mean of percent of people who are over 65<\/SPAN><\/P> ISOL65_DMU: The difference to the mean of percent of people who live alone and are over 65<\/SPAN><\/P> HED_DMU: The difference to the mean of percent of people over 25 without a high school diploma<\/SPAN><\/P> LIMENG_DMU: The difference to the mean of percent of people who speak English less than well<\/SPAN><\/P> NWHITE_DMU: The difference to the mean of percent of people who identify as non-white<\/SPAN><\/P> NWHITE_PER: The percent of people who identify as non-white<\/SPAN><\/P> LATINX_PER: The percent of people who identify as Latinx<\/SPAN><\/P> BLACK_PER: The percent of people who identify as Black<\/SPAN><\/P> ASIAN_PER: The percent of people who identify as Asian<\/SPAN><\/P> OVER65_DMU: The difference to the mean of percent of people who are over 65<\/SPAN><\/P> ISOL65_DMU: The difference to the mean of percent of people who live alone and are over 65<\/SPAN><\/P> HED_DMU: The difference to the mean of percent of people over 25 without a high school diploma<\/SPAN><\/P> LIMENG_DMU: The difference to the mean of percent of people who speak English less than well<\/SPAN><\/P> NWHITE_DMU: The difference to the mean of percent of people who identify as non-white<\/SPAN><\/P> LATINX_DMU: The difference to the mean of percent of people who identify as Latinx<\/SPAN><\/P> BLACK_DMU The difference to the mean of percent of people who identify as Black<\/SPAN><\/P> ASIAN_DMU: The difference to the mean of percent of people who identify as Asian<\/SPAN><\/P> dlst: daytime land surface temperature in Fahrenheit for the months of May to September from 2015-2020 derived from Landsat 8 OLI. A mean value was derived from the raster for each census block group. The original raster calculated a median value for the images of the study period.<\/SPAN><\/P> nlst: nighttime land surface temperature in Fahrenheit for the months of May to September from 2018-2020 derived from ECOSTRESS. A mean value was derived from the raster for each census block group<\/SPAN><\/P> HVI_Score: heat vulnerability score derived from a principal component analysis. Includes only social indicators.<\/SPAN><\/P> HVI_NORM: heat vulnerability score normalized <\/SPAN><\/P> Exp: heat exposure score calculated by multiplying daytime and nighttime land surface temperature with nighttime weighted a bit more<\/SPAN><\/P> Exp_NORM: heat exposure score normalized<\/SPAN><\/P> Risk_NORM: Heat risk score derived by multiplying HVI_NORM and Exp_NORM<\/SPAN><\/P><\/DIV><\/DIV><\/DIV>",
"summary": "EJ Climate Change and Resiliency factors. The census tract data was used for our social, health, and biophysical analysis of San Diego",
"title": "Climate Change and Resiliency",
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"thumbnail": "thumbnail/thumbnail.png",
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"spatialReference": "NAD_1983_StatePlane_California_VI_FIPS_0406_Feet",
"accessInformation": "Spring 2021 San Diego Urban Development NASA DEVELOP Team",
"licenseInfo": ""
}