{ "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", "tags": [ "EJ" ], "type": "Feature Service", "typeKeywords": [ "Data", "Service", "Feature Service", "ArcGIS Server", "Feature Access", "providerSDS" ], "thumbnail": "thumbnail/thumbnail.png", "url": "", "extent": [ [ -117.224233915563, 32.5490047470715 ], [ -116.90547347642, 33.1142063183669 ] ], "minScale": 0, "maxScale": 1.7976931348623157E308, "spatialReference": "NAD_1983_StatePlane_California_VI_FIPS_0406_Feet", "accessInformation": "Spring 2021 San Diego Urban Development NASA DEVELOP Team", "licenseInfo": "" }