20230804 13163300 1.0 FGDC CSDGM Metadata FALSE PollutionSources_v2_0 222661.463772 384991.288183 168694.987522 287809.405845 1 4.092 002 Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) NAD_1983_StatePlane_Connecticut_FIPS_0600 <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.8'><WKT>PROJCS[&quot;NAD_1983_StatePlane_Connecticut_FIPS_0600&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,304800.6096],PARAMETER[&quot;False_Northing&quot;,152400.3048],PARAMETER[&quot;Central_Meridian&quot;,-72.75],PARAMETER[&quot;Standard_Parallel_1&quot;,41.2],PARAMETER[&quot;Standard_Parallel_2&quot;,41.86666666666667],PARAMETER[&quot;Latitude_Of_Origin&quot;,40.83333333333334],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,26956]]</WKT><XOrigin>-36501800</XOrigin><YOrigin>-29365300</YOrigin><XYScale>122358479.92942828</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>26956</WKID><LatestWKID>26956</LatestWKID></ProjectedCoordinateSystem> 20230817 15111900 20230817 15111900 150000000 5000 FGDC ArcGIS Metadata 1.0 vector digital data Onat, Y., Massidda, C., Duskin, L. (2023) [Layer Name], The Development of Connecticut Environmental Justice Screening Tool (v2.0) Dataset, University of Connecticut, Connecticut Institute for Resilience and Climate Adaptation, Retrieved from [Website link], Date Accessed: MM-DD-YYYY PollutionSources_v2_0 <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Potential Pollution Sources is a composite of multiple indicators that are designed to reflect the potential effects on the environment. These indicators can include the presence of certain types of pollution or potential sources of environmental harm on nearby communities.</SPAN></P></DIV></DIV></DIV> As a recommendation of the Governor's Council on Climate Change (GC3), and in partnership with and with CT Department of Energy and Environmental Protection (CT DEEP)'s Regional Greenhouse Gas Initiative funds funds, UConn CIRCA is developing the CT Environmental Justice Screening Tool. CT Environmental Justice Screening Tool is designed to help identify and analyze patterns of the disproportionate impact of pollution on vulnerable populations who are impacted by chronic health conditions and social stressors. The CT Environmental Justice Screening Tool intends to uphold a commitment to equity and environmental justice by informing the public and policymakers about the potential cumulative risks of environmental burdens, social vulnerabilities, and health vulnerabilities throughout communities in Connecticut. Learn more about the project here: connecticut-environmental-justice.circa.uconn.edu Funding for this project is provided by the CT Department of Energy and Environmental Protection's Regional Greenhouse Gas Initiative (RGGI) funds. Environmental Justice, ejscreen, Connecticut, Pollution Sources Environmental JusticeejscreenConnecticutPollution Sources <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>If you acquire any data products from CIRCA, we ask that you acknowledge us in your use of the data by citing the dataset and/or publications in any documents or publications using these data. We would also appreciate receiving a copy of the relevant publications. This will help us to justify keeping the data set freely available online in the future. Thank you.</SPAN></P></DIV></DIV></DIV> true -73.732160 -71.781374 42.052545 40.975881 Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362 1 -73.742160 -71.781374 42.052545 40.975881 PollutionSources_v2_0 Potential Pollution Sources is a composite of multiple indicators that are designed to reflect the potential effects on the environment. These indicators can include the presence of certain types of pollution or potential sources of environmental harm on nearby communities. Feature Class 879 FID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. FID OID 4 0 0 Shape Feature geometry. Esri Coordinates defining the features. Shape Geometry 0 0 0 GEOID20 2020 geographic identifier GEOID20 String 11 0 0 NAME20 Block Name NAME20 String 7 0 0 NAMELSAD20 Census Tract block number NAMELSAD20 String 20 0 0 TOWN_NAME name of town TOWN_NAME String 16 0 0 CouncilOfG Regional council of governments CouncilOfG String 22 0 0 County County name County String 10 0 0 Area_SqMil Square mile area of polygon Area_SqMil Double 10 9 6 Area_Sqft square foot area of polygon Area_Sqft Double 18 17 6 Area_SqM square mile area of polygon Area_SqM Double 17 16 6 Brownfield Brownfield Double 10 9 6 Brownfields variable ranked EPCRA EPCRA Double 10 9 6 Facilities managing hazardous chemical ranked Impervious Impervious Double 10 9 6 Impervious surfaces ranked Incinerato Incinerato Double 10 9 6 Incinerator ranked Landfill Landfill Double 10 9 6 Landfill ranked HomeLead HomeLead Double 12 11 6 Home Lead values ranked MTS MTS Double 10 9 6 Municipal transfer stations ranked PCS PCS Double 10 9 6 Potentially contaminated / cleanup sites ranked RecyclingF RecyclingF Double 10 9 6 Recycling facilities ranked SEH SEH Double 10 9 6 Significant Environmental Hazards/Proximity to Facilities with Highly Toxic Substances ranked Superfund Superfund Double 12 11 6 Superfund site proximity ranked UndStoraTn UndStoraTn Double 10 9 6 Underground storage ranked ranked Wastewater Wastewater Double 10 9 6 Wastewater discharge ranked Score Pollution sources variables combined score Score Double 9 8 6 Percentile A percentile is a score indicating the value below which a given percentage of observations in a group of observations fall. It indicates the relative position of a particular value within a dataset. For example, the 20th percentile is the value below which 20% of the observations may be found. Percentile Double 10 9 6 Rank The rank refers to a process of arranging percentiles in descending order, starting from the highest percentile and ending with the lowest percentile. Once the percentiles are ranked, a normalization step is performed to rescale the rank values between 0 and 10. A rank value of 10 represents the highest percentile, while a rank value of 0 corresponds to the lowest percentile in the dataset. The normalized rank provides a relative assessment of the position of each percentile within the distribution, making it simpler to understand the relative magnitude of differences between percentiles. Normalization between 0 and 10 ensures that the rank values are standardized and uniformly distributed within the specified range. This normalization allows for easier interpretation and comparison of the rank values, as they are now on a consistent scale. Rank Double 10 9 6 Shapefile 4.092 dataset EPSG 4.5(3.0.1) 879 Simple FALSE 879 FALSE FALSE 20230817 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