vector digital data FREAC (2019). Florida 2016 Social Vulnerability Index visualized by population [GIS Shapefile]. Tallahassee: Florida Resources and Environmental Analysis Center, Florida State University. Social Vulnerability refers to a community's ability to prepare for and respond to a hazardous event. The Center for Disease Control (CDC) has compiled a Social Vulnerability Index (SVI) to quantify vulnerability for census tracts in the U.S. The CDC SVI data can be used to estimate needed supplies and resources, identify areas in need of emergency shelters, plan evacuations for those with special needs, and identify communities that could need additional support after a disaster. The index is a statistical calculation of 15 census-derived factors that cover risks for socioeconomic, household composition, minority status, and housing/transportation. The SVI data is available at the census tract level from the CDC website.This geovisualization combines SVI census tract data with a 1-kilometer population grid to visually enhance populated areas and draw less attention to areas of low population. This geovisualization project is intended show SVI data while highlighting areas of high population and minimizing areas of low population. Data Inputs: 1. SVI (2016) data at the census tract level. Center for Disease Control. 2. 1-km population grid (2010). Florida Resources and Environmental Analysis Center (FREAC). (https://usng-gis.org/population.html) This geovisualization consists of three shapefiles that are intended to be used together. The three shapefiles represent high, medium, and low population, with symbology sizing scaled for the population category. The population categories are divided as follows: low = under 400; medium = 401 to 2,000; and high = over 2,000 persons per 1-km grid cell. The three shapefiles are named: SVI_hipop, SVI_medpop, and SVI_lowpop. -87.274264 -79.901908 30.677887 24.513463 None social vulnerability geovisualization None Attribution 4.0 International (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/ You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits. No warranty provided. To cite this data: FREAC (2019). Florida 2016 Social Vulnerability Index visualized by population [GIS Shapefile]. Tallahassee: Florida Resources and Environmental Analysis Center, Florida State University. Florida Resources and Environmental Analysis Center (FREAC), Florida State University Georgianna Strode Georgianna Strode. Florida Resources and Environmental Analysis Center (FREAC), Florida State University. Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.0.8321 Vector Entity point 1656 NAD 1983 2011 Florida GDL Albers 24.0 31.5 -84.0 24.0 400000.0 0.0 coordinate pair 0.000000004429812072714868 0.000000004429812072714868 meter D NAD 1983 2011 GRS 1980 6378137.0 298.257222101 SVI_hipop FID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Feature geometry. Esri Coordinates defining the features. OBJECTID X_LWRLFT Y_LWRLFT GRID100K GRID10K GRID1000M LABEL This is the main part of the USNG identifier for a 1-kilometer scale. The first 3 characters of the label, the Grid Zone Designator (GZD), has been omitted as it is not needed at this scale. For grids located in UTM Zone 16, the GZD is "16R" and it is "17R" for grids in UTM zone 17. The Label field is unique within zones 16 and 17. Shape_Leng TOTAL_POP Total population for the grid cell. FREAC (2017). Florida 2010 high-resolution population estimates [GIS Shapefile]. Tallahassee: Florida Resources and Environmental Analysis Center, Florida State University. RPL_THEME1 SVI Socioeconomic ranking. Center for Disease Control, SVI 2016. RPL_THEME2 SVI ranking for Household Composition / Disability. Center for Disease Control, SVI 2016. RPL_THEME3 SVI ranking for Minority / Language. Center for Disease Control, SVI 2016. RPL_THEME4 SVI ranking for Housing / Transportation. Center for Disease Control, SVI 2016. RPL_THEMES SVI composite index. This value is a compilation of the four themes of socioeconomic, household composition, minority, and housing/transportation. Center for Disease Control, SVI 2016. 20190412 Florida Resources and Environmental Analysis Center (FREAC) Georgianna Strode GIS Researcher & Analyst FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time