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Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
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<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>The main data sources used to construct these data were: the Census, the EPA's EJ Index, CCRM, USGS's NLCD land cover data, and NOAA's SLOSH data. The SLOSH data was intersected with the four developed land cover layers of the NLCD data to provide estimates of the percentages of developed land that would be flooded in each block group. These block groups represent those that intersect with the Elizabeth River watershed shapefile provided by CCRM, which lie in the four counties considered in this analysis: Chesapeake City, Norfolk City, Portsmouth City, and Virginia Beach City. The final five variables in the table are the indexes created using Principal Components Analysis (PCA). The variables used in each PCA are the following:</SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN STYLE="font-weight:bold;"><SPAN>Combined demographic</SPAN></SPAN><SPAN><SPAN>= </SPAN></SPAN><SPAN><SPAN>“</SPAN></SPAN><SPAN><SPAN>pctmin","pctlowinc","pctlths", "pctlingiso","pctunder5","pctover64", "MedianStructureAge","DevelopedArea","MedianHHincome", "PublicAssistanceShare","NotInLaborForceShare","NoInternetShare", "AtLeastBachelorsShare","BlackShare","BlackHHShare", "IncomeBelowPovertyShare","RenterShare</SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>40.8% of the variance was explained using first PC, which was used as the index score. That PC score was standardized against others within the Elizabeth River watershed using the EJ Screen methodology.</SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN STYLE="font-weight:bold;"><SPAN>Combined environmental</SPAN></SPAN><SPAN><SPAN>= "EJ.DISPARITY.cancer.eo.EJLocal","EJ.DISPARITY.resp.eo.EJLocal", "EJ.DISPARITY.dpm.eo.EJLocal","EJ.DISPARITY.pm.eo.EJLocal", "EJ.DISPARITY.o3.eo.EJLocal","EJ.DISPARITY.traffic.score.eo.EJLocal "EJ.DISPARITY.pctpre1960.eo.EJLocal","EJ.DISPARITY.proximity.rmp.eo.EJLocal", "EJ.DISPARITY.proximity.tsdf.eo.EJLocal","EJ.DISPARITY.proximity.npl.eo.EJLocal", "EJ.DISPARITY.proximity.npdes.eo.EJLocal"</SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>35.4% </SPAN></SPAN><SPAN><SPAN>of the variance was explained using first PC, which was used as the index score. That PC score was standardized against others within the Elizabeth River watershed using the EJ Screen methodology.</SPAN></SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
File Geodatabase Feature Class
3.861
dataset
EPSG
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Simple
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ERP_Indices_reducedFields_ERWtrshd_wm
Feature Class
370
OBJECTID
FID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
GEOID
GEOID
String
80
0
0
Dmgrphcs
Dmgrphcs
Double
8
0
0
Combined Demographic Indicator
The combined demographic indicator is generated through a statistical analysis (PCA) that looks at the combined distribution of multiple demographic stressors (17 indicators from US census data). Scores ranged from -8.3 to 12.5, higher scores indicate that the census block is vulnerable to many different demographic stressors. Lower scores indicate that a census block is vulnerable to only 1-2 demographic stressors.
Env
Env
Double
8
0
0
Combined Environmental Indicator
The combined environmental indicator is generated through a statistical analysis (PCA) that looks at the combined distribution of multiple environmental stressors (11 indicators from EJ Screen Environmental Indicators). Scores ranged from -5.5 to 7.7, higher scores indicate that the census block is vulnerable to many different environmental stressors. Lower scores indicate that a census block is vulnerable to only 1-2 environmental stressors.
EnvScorex10
Env Score times 10
SmallInteger
2
0
0
EnvNoNeg
Env Score Adjusted No Neg
Integer
4
0
0
DmNoNeg
Dmgrphcs Score Adjusted No Neg
Integer
4
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
DemEnvRel
DemEnvRel
String
254
0
0
20230511