Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>In 2019, the City developed the Climate Equity Index (CEI) in a community-driven process with local nonprofits and community-based organizations. The CEI was updated in 2021 based on stakeholder feedback. This map serves as a visual representation of the CEI’s scoring. CEI scores are averaged across 41 indicators. Higher CEI scores indicate census tracts with a higher access to opportunity relative to tracts with lower CEI scores, with respect to the indicators analyzed. All scores are standardized across a 0-100 scale. For more details on each indicator, including source information and methods, refer to Appendix B of the City of San Diego's 2019 Climate Equity Index Report.</SPAN></P><P><SPAN>The 2021 CEI version added three indicators (Ozone, PM2.5, and Diesel Particulate Matter), replaced the Heart Attack Fatalities indicator for Cardiovascular Disease, and separated the Proximity to Waste Sites indicator into four separate indicators: Toxic Releases from Facilities, Clean Up Sites, Hazardous Waste Generators and Facilities, and Solid Waste Sites and Facilities.</SPAN></P></DIV></DIV></DIV>
Service Item Id: 350975a6b8414a10bb43eb221a037e7b
Copyright Text: Energy Policy Initiatives Center (EPIC, USD), City of San Diego, SANDAG, SanGIS, FEMA, CalFire, CalEPA, County of San Diego, CA OEHHA, CA SWRCB, US Census Bureau, SDG&E, Google Project Sunroof, Walk Score, H+T Index, BNA, US DOE, Tracking California, CA Dept. of Public Health, USDA
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The Environmental Justice Screen considers community input and data sets available to help identify communities most impacted and negatively affected by environmental burdens and associated health risks - collectively referred to as Environmental Justice Communities. </SPAN></P><P><SPAN>The Planning Department conducted an initial Environmental Justice Screen to inform the identification of Environmental Justice Communities. The Environmental Justice Screen builds on community input received across past efforts to include local data sets and priorities while also meeting state requirements. Feedback collected during outreach and engagement has served to expand upon findings from the data analyzed. </SPAN></P><P><SPAN>The screen is made up of the following components:</SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN>CEST 1.0 + Climate Change & Resiliency + Food Apartheid Outcomes + Cal Enviro Screen + Census Tract 34.01 </SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>AND</SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>Within City of San Diego Municipal boundaries (tracts straddling this border included) </SPAN></SPAN></P><P><SPAN /></P><P><SPAN>To reflect input from community members and better capture areas impacted by compounded health risks, census tract #34.01 is included in the Environmental Justice Communities Map. </SPAN></P><P><SPAN STYLE="text-decoration:underline;">Attributes of census tract #34.01: </SPAN></P><P><SPAN STYLE="text-decoration:underline;">CalEnviroScreen</SPAN><SPAN> </SPAN></P><P><SPAN>Top 30% most affected by several sources of pollution and where people are especially vulnerable to pollution effects. </SPAN></P><P><SPAN STYLE="text-decoration:underline;">Food Apartheid </SPAN></P><P><SPAN>While SNAP Usage is high on this census tract, obesity and diabetes in adults were found to be moderate, which excluded the census tract from the initial EJ Screen. </SPAN></P><P><SPAN STYLE="text-decoration:underline;">SNAP Usage </SPAN></P><P><SPAN>10.6%-17.5% of households receive SNAP or public assistance income. </SPAN></P><P><SPAN STYLE="text-decoration:underline;">Obesity in Adults</SPAN></P><P><SPAN>24.4%-27.8% of adults are obese by crude prevalence. </SPAN></P><P><SPAN STYLE="text-decoration:underline;">Diabetes in Adults</SPAN></P><P><SPAN>9.4%-10.8% of adults are diabetic by crude prevalence. </SPAN></P><P><SPAN STYLE="text-decoration:underline;">Climate and Resilience </SPAN></P><P><SPAN>Energy Cost Burden is high while tree coverage is moderate, which is why it was excluded from the original EJ Screen. However, while this area has open space, it is hard to access, and freeways as well as collector streets traverse the area, which are not very pedestrian-friendly. </SPAN></P><P><SPAN STYLE="text-decoration:underline;">Cost Energy Burden </SPAN></P><P><SPAN>Energy cost burden is ranked High</SPAN></P><P><SPAN STYLE="text-decoration:underline;">Tree Canopy</SPAN></P><P><SPAN>Tree canopy cover (2014) is categorized as moderate</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Service Item Id: 350975a6b8414a10bb43eb221a037e7b
Copyright Text: City Planning Department City of San Diego, Obesity and Diabetes - PLACES, Local Data for Better Health, Centers for Disease Control and Prevention, 2020, SanGIS/SANDAG GIS Data Warehouse, 2021, SNAP - American Community Survey, 2015-2019, US Census; SanGIS/SANDAG GIS Data Warehouse, 2021, Tree Canopy and Energy Cost Burden - City of San Diego Climate Equity Index (CEI), 2021; SanGIS/SANDAG GIS Data Warehouse, 2021, Spring 2021 San Diego Urban Development NASA DEVELOP Team, Climate and Economic Justice Screening Tool (CEJST) Version 1.0, US Census Bureau 2022
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>In 2019, the City developed the Climate Equity Index (CEI) in a community-driven process with local nonprofits and community-based organizations. The CEI was updated in 2021 based on stakeholder feedback. This map serves as a visual representation of the CEI’s scoring. CEI scores are averaged across 41 indicators. Higher CEI scores indicate census tracts with a higher access to opportunity relative to tracts with lower CEI scores, with respect to the indicators analyzed. All scores are standardized across a 0-100 scale. For more details on each indicator, including source information and methods, refer to Appendix B of the City of San Diego's 2019 Climate Equity Index Report.</SPAN></P><P><SPAN>The 2021 CEI version added three indicators (Ozone, PM2.5, and Diesel Particulate Matter), replaced the Heart Attack Fatalities indicator for Cardiovascular Disease, and separated the Proximity to Waste Sites indicator into four separate indicators: Toxic Releases from Facilities, Clean Up Sites, Hazardous Waste Generators and Facilities, and Solid Waste Sites and Facilities.</SPAN></P></DIV></DIV></DIV>
Service Item Id: 350975a6b8414a10bb43eb221a037e7b
Copyright Text: Energy Policy Initiatives Center (EPIC, USD), City of San Diego, SANDAG, SanGIS, FEMA, CalFire, CalEPA, County of San Diego, CA OEHHA, CA SWRCB, US Census Bureau, SDG&E, Google Project Sunroof, Walk Score, H+T Index, BNA, US DOE, Tracking California, CA Dept. of Public Health, USDA
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Public transit stops in San Diego County serviced by the San Diego County Metropolitan Transit System (MTS) and the North County Transit District (NCTD). </SPAN></P><P><SPAN>Bus, commuter and light rail, and trolley stops developed from the General Transit Feed Specification (GTFS) downloaded from https://www.sdmts.com/google_transit_files/google_transit.zip and http://www.gonctd.com/google_transit.zip.</SPAN></P><P><SPAN>GTFS data is provided to the exchange by the transit agencies and processed by SanGIS to create a consolidated GIS layer containing stops for both MTS and NCTD systems. SanGIS uses built-in ArcGIS tools to develop the stops from the STOPS.txt data file.</SPAN></P><P><SPAN>Stops layers for MTS and NCTD are created separately and combined into a single layer using ArcGIS tools.</SPAN></P></DIV></DIV></DIV>
Copyright Text: SanGIS using information provided by the San Diego Metropolitan Transit System and the North County Transit District
Name: Schools (Including Colleges and Universities)
Display Field: name
Type: Feature Layer
Geometry Type: esriGeometryPoint
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The types of data in this feature class are school names, spatial locations, addresses, and additional school details (e.g. status of operation, whether the facility is private or public,etc.). School addresses were sourced from the California Department of Education (CDE) and were geocoded using the SanGIS parcels and street centerlines. The attributes from previous School iterations were also updated using aerial imagery, online research, site visits, and over-the-phone verification. Certain points were manually relocated to school buildings. This layer includes not only active schools but also closed schools, district office locations, duplicates of schools at prior addresses or with different cds codes or having closed and reoopened, and virtual schools.</SPAN></P></DIV></DIV></DIV>
Service Item Id: 350975a6b8414a10bb43eb221a037e7b
Copyright Text: SANDAG
California Department of Education (CDE)
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>School site addresses maintained by California Department of Education (CDE) were geocoded to the SanGIS parcels and street centerlines. Using aerial imagery, online research, site visits, and/or over-the-phone verification, attributes were corrected and/or polygons were adjusted to best represent the portion of the parcel in active use for school-related activities. This layer includes active schools.</SPAN></P></DIV></DIV></DIV>
Service Item Id: 350975a6b8414a10bb43eb221a037e7b
Copyright Text: SANDAG
California Department of Education (CDE)
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>Point layer to show the location of areas and specific features such as buildings, mile markers, and mountain tops </SPAN></SPAN></P><P><SPAN><SPAN>Originally, five layers of place data were combined into a single layer; those of: PLACES (Was SANGIS.PLACES renamed PLACES_OLD); SHERIFF_PLACE_NAMES (Sheriff's place name file for dispatch);PLACES_SG SANDAG Places layer; PLACE_NAMES (Geographic Names Information System /GNIS, assumed); PLACES_CASINOS Casinos.</SPAN></SPAN></P><P><SPAN><SPAN>In PLACES_CASINOS fields were added named ADDR and CITYNM and calculated equal to existing fields ADDRESS and CITY to facilitate the appending process.</SPAN></SPAN></P><P><SPAN><SPAN>PLACES and PLACES_SG initially contained MULTIPOINT features; TOOLBOX Feature to Point was used to make the features POINT. The working layers were then called PLACES_SG_FeatureToPoint and PLACES_OLD_FeatureToPoint.In the PLACES layer 3 fields were widened for consistency with similarly named fields in other layers. NAME was widened from 32 to 200; ADDR was widened from 32 to 75; TYPE was widened from 20 to 254. After 2 versions the layer was named PLACES_OLD_FeatureToPoint2. PLACES_OLD_FeatureToPoint2 (which was originally PLACES) was copied to a feature class named PLACES_COMBINED. The other 4 feature classes were then appended with the NOTEST option. The name of the original layers where each point resided is in an added field FEA_SRC.The geodatabase was then copied, renamed PLACES_OUTPUT_20100730 and unneeded intermediate results were deleted.The final result is the feature class PLACES_COMBINED in the geodatabase PLACES_OUTPUT_20100730. The dataset has since been added to from numerous other point source datasets along with individual edits from a range of data sources.</SPAN></SPAN></P><P><SPAN><SPAN>For the most part, the attribute fields align with the original 5 datasets that were used to create Places. However, some fields were deleted, as they did not apply to the other datasets. Other fields were assigned an attribute domain. These include: CityNm, CommunityNm, EntityType, and Fea_Src. The EntityType domain was taken directly from Bing's entity types and descriptions. It was then modifed to be more easily understood and simplified. The Fea_Src domain lists the 5 original data sources, plus Bing as a future data source.</SPAN></SPAN></P><P><SPAN><SPAN>The dataset is updated and reviewed by SanGIS on the basis of updates received to other independent point source datasets (e.g. hospitals, schools, fire stations). The Fea_Src field may change from the original sources as data is reviewed and revised. Where duplication of features from the original place data are discovered they are consolidated into a single feature.</SPAN></SPAN></P></DIV></DIV></DIV>
Copyright Text: Staff at San Diego Data Processing, students and department of planning and land use, staff at SanGIS, the San Diego Sheriff's department dispatchers, and several commercial and open source resources.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>Point layer to show the location of areas and specific features such as buildings, mile markers, and mountain tops </SPAN></SPAN></P><P><SPAN><SPAN>Originally, five layers of place data were combined into a single layer; those of: PLACES (Was SANGIS.PLACES renamed PLACES_OLD); SHERIFF_PLACE_NAMES (Sheriff's place name file for dispatch);PLACES_SG SANDAG Places layer; PLACE_NAMES (Geographic Names Information System /GNIS, assumed); PLACES_CASINOS Casinos.</SPAN></SPAN></P><P><SPAN><SPAN>In PLACES_CASINOS fields were added named ADDR and CITYNM and calculated equal to existing fields ADDRESS and CITY to facilitate the appending process.</SPAN></SPAN></P><P><SPAN><SPAN>PLACES and PLACES_SG initially contained MULTIPOINT features; TOOLBOX Feature to Point was used to make the features POINT. The working layers were then called PLACES_SG_FeatureToPoint and PLACES_OLD_FeatureToPoint.In the PLACES layer 3 fields were widened for consistency with similarly named fields in other layers. NAME was widened from 32 to 200; ADDR was widened from 32 to 75; TYPE was widened from 20 to 254. After 2 versions the layer was named PLACES_OLD_FeatureToPoint2. PLACES_OLD_FeatureToPoint2 (which was originally PLACES) was copied to a feature class named PLACES_COMBINED. The other 4 feature classes were then appended with the NOTEST option. The name of the original layers where each point resided is in an added field FEA_SRC.The geodatabase was then copied, renamed PLACES_OUTPUT_20100730 and unneeded intermediate results were deleted.The final result is the feature class PLACES_COMBINED in the geodatabase PLACES_OUTPUT_20100730. The dataset has since been added to from numerous other point source datasets along with individual edits from a range of data sources.</SPAN></SPAN></P><P><SPAN><SPAN>For the most part, the attribute fields align with the original 5 datasets that were used to create Places. However, some fields were deleted, as they did not apply to the other datasets. Other fields were assigned an attribute domain. These include: CityNm, CommunityNm, EntityType, and Fea_Src. The EntityType domain was taken directly from Bing's entity types and descriptions. It was then modifed to be more easily understood and simplified. The Fea_Src domain lists the 5 original data sources, plus Bing as a future data source.</SPAN></SPAN></P><P><SPAN><SPAN>The dataset is updated and reviewed by SanGIS on the basis of updates received to other independent point source datasets (e.g. hospitals, schools, fire stations). The Fea_Src field may change from the original sources as data is reviewed and revised. Where duplication of features from the original place data are discovered they are consolidated into a single feature.</SPAN></SPAN></P></DIV></DIV></DIV>
Service Item Id: 350975a6b8414a10bb43eb221a037e7b
Copyright Text: Staff at San Diego Data Processing, students and department of planning and land use, staff at SanGIS, the San Diego Sheriff's department dispatchers, and several commercial and open source resources.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The following dataset represents the boundaries and locations of developed parks throughout the city. This layer provides a visual representation of the location data for all developed parks overseen by the City of San Diego. This layer is used to maintain inventory of park assets within developed parks and serves as a reference for historical information, guiding maintenance plans and informing future development projects within these parks. </SPAN></P></DIV></DIV></DIV>
Service Item Id: 350975a6b8414a10bb43eb221a037e7b
Copyright Text: Parks and Recreation Department, City of San Diego
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>Point layer to show the location of areas and specific features such as buildings, mile markers, and mountain tops </SPAN></SPAN></P><P><SPAN><SPAN>Originally, five layers of place data were combined into a single layer; those of: PLACES (Was SANGIS.PLACES renamed PLACES_OLD); SHERIFF_PLACE_NAMES (Sheriff's place name file for dispatch);PLACES_SG SANDAG Places layer; PLACE_NAMES (Geographic Names Information System /GNIS, assumed); PLACES_CASINOS Casinos.</SPAN></SPAN></P><P><SPAN><SPAN>In PLACES_CASINOS fields were added named ADDR and CITYNM and calculated equal to existing fields ADDRESS and CITY to facilitate the appending process.</SPAN></SPAN></P><P><SPAN><SPAN>PLACES and PLACES_SG initially contained MULTIPOINT features; TOOLBOX Feature to Point was used to make the features POINT. The working layers were then called PLACES_SG_FeatureToPoint and PLACES_OLD_FeatureToPoint.In the PLACES layer 3 fields were widened for consistency with similarly named fields in other layers. NAME was widened from 32 to 200; ADDR was widened from 32 to 75; TYPE was widened from 20 to 254. After 2 versions the layer was named PLACES_OLD_FeatureToPoint2. PLACES_OLD_FeatureToPoint2 (which was originally PLACES) was copied to a feature class named PLACES_COMBINED. The other 4 feature classes were then appended with the NOTEST option. The name of the original layers where each point resided is in an added field FEA_SRC.The geodatabase was then copied, renamed PLACES_OUTPUT_20100730 and unneeded intermediate results were deleted.The final result is the feature class PLACES_COMBINED in the geodatabase PLACES_OUTPUT_20100730. The dataset has since been added to from numerous other point source datasets along with individual edits from a range of data sources.</SPAN></SPAN></P><P><SPAN><SPAN>For the most part, the attribute fields align with the original 5 datasets that were used to create Places. However, some fields were deleted, as they did not apply to the other datasets. Other fields were assigned an attribute domain. These include: CityNm, CommunityNm, EntityType, and Fea_Src. The EntityType domain was taken directly from Bing's entity types and descriptions. It was then modifed to be more easily understood and simplified. The Fea_Src domain lists the 5 original data sources, plus Bing as a future data source.</SPAN></SPAN></P><P><SPAN><SPAN>The dataset is updated and reviewed by SanGIS on the basis of updates received to other independent point source datasets (e.g. hospitals, schools, fire stations). The Fea_Src field may change from the original sources as data is reviewed and revised. Where duplication of features from the original place data are discovered they are consolidated into a single feature.</SPAN></SPAN></P></DIV></DIV></DIV>
Copyright Text: Staff at San Diego Data Processing, students and department of planning and land use, staff at SanGIS, the San Diego Sheriff's department dispatchers, and several commercial and open source resources.