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EJ Climate Change and Resiliency factors. The census tract data was used for our social, health, and biophysical analysis of San Diego |
summary:
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EJ Climate Change and Resiliency factors. The census tract data was used for our social, health, and biophysical analysis of San Diego |
extent:
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[[-117.224233915563,32.5490047470715],[-116.90547347642,33.1142063183669]] |
accessInformation:
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Spring 2021 San Diego Urban Development NASA DEVELOP Team |
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thumbnail/thumbnail.png |
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1.7976931348623157E308 |
typeKeywords:
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["Data","Service","Feature Service","ArcGIS Server","Feature Access","providerSDS"] |
description:
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<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Below is a description of each column in the attribute table.</SPAN></P><P><SPAN>GEOID: the GEOID for each census block group</SPAN></P><P><SPAN>OVER65_PER: The percent of people who are over 65 in that census block group</SPAN></P><P><SPAN>ISOL65_PER: The percent of people who are living alone and are over 65 in that census block group</SPAN></P><P><SPAN>HED_PER: The percent of people over 25 without a high school diploma</SPAN></P><P><SPAN>LIMENG_PER: The percent of people who speak English less than well</SPAN></P><P><SPAN>NWHITE_PER: The percent of people who identify as non-white</SPAN></P><P><SPAN>LATINX_PER: The percent of people who identify as Latinx</SPAN></P><P><SPAN>BLACK_PER: The percent of people who identify as Black</SPAN></P><P><SPAN>ASIAN_PER: The percent of people who identify as Asian</SPAN></P><P><SPAN>OVER65_DMU: The difference to the mean of percent of people who are over 65</SPAN></P><P><SPAN>ISOL65_DMU: The difference to the mean of percent of people who live alone and are over 65</SPAN></P><P><SPAN>HED_DMU: The difference to the mean of percent of people over 25 without a high school diploma</SPAN></P><P><SPAN>LIMENG_DMU: The difference to the mean of percent of people who speak English less than well</SPAN></P><P><SPAN>NWHITE_DMU: The difference to the mean of percent of people who identify as non-white</SPAN></P><P><SPAN>NWHITE_PER: The percent of people who identify as non-white</SPAN></P><P><SPAN>LATINX_PER: The percent of people who identify as Latinx</SPAN></P><P><SPAN>BLACK_PER: The percent of people who identify as Black</SPAN></P><P><SPAN>ASIAN_PER: The percent of people who identify as Asian</SPAN></P><P><SPAN>OVER65_DMU: The difference to the mean of percent of people who are over 65</SPAN></P><P><SPAN>ISOL65_DMU: The difference to the mean of percent of people who live alone and are over 65</SPAN></P><P><SPAN>HED_DMU: The difference to the mean of percent of people over 25 without a high school diploma</SPAN></P><P><SPAN>LIMENG_DMU: The difference to the mean of percent of people who speak English less than well</SPAN></P><P><SPAN>NWHITE_DMU: The difference to the mean of percent of people who identify as non-white</SPAN></P><P><SPAN>LATINX_DMU: The difference to the mean of percent of people who identify as Latinx</SPAN></P><P><SPAN>BLACK_DMU The difference to the mean of percent of people who identify as Black</SPAN></P><P><SPAN>ASIAN_DMU: The difference to the mean of percent of people who identify as Asian</SPAN></P><P><SPAN>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><P><SPAN>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><P><SPAN>HVI_Score: heat vulnerability score derived from a principal component analysis. Includes only social indicators.</SPAN></P><P><SPAN>HVI_NORM: heat vulnerability score normalized </SPAN></P><P><SPAN>Exp: heat exposure score calculated by multiplying daytime and nighttime land surface temperature with nighttime weighted a bit more</SPAN></P><P><SPAN>Exp_NORM: heat exposure score normalized</SPAN></P><P><SPAN>Risk_NORM: Heat risk score derived by multiplying HVI_NORM and Exp_NORM</SPAN></P></DIV></DIV></DIV> |
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catalogPath:
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title:
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Climate Change and Resiliency |
type:
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Feature Service |
url:
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tags:
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["EJ"] |
culture:
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en-US |
name:
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Climate_Change_and_Resiliency |
guid:
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3BBA652F-9E29-48B8-AC85-83103C96B8A3 |
minScale:
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0 |
spatialReference:
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NAD_1983_StatePlane_California_VI_FIPS_0406_Feet |