University of Florida GeoPlan Center 20170906 vector digital data Gainesville, FL University of Florida GeoPlan Center State of Florida http://www.fgdl.org/metadataexplorer This dataset contains 2017 Hospital Facility Information for the State of Florida. It is a combination of hospital facility addresses from different sources. The data contains selected fields denoting the name, physical address, and other facility information for hospitals located in Florida. This data is meant to be used for planning purposes only and is not intended to represent a 100% inventory of hospitals in Florida. Hospital locations that have been verified are marked with the letter V in the FLAG field. This layer corresponds to the hospital points layer GC_HOSPITALS_SEP17 available through FGDL. The data was created to serve as base information for use in GIS systems for a variety of planning and analytical purposes. What is Geocoding? Geocoding is term used to describe the act of address matching. Geocoding is the process of finding a geographic location (x, y point) for an address (such as street number and name, city, state, and ZIP Code) on a map. Geocoding is based off the typical address scheme for the US, in which one side of the street contains even house numbers while the other side of the street contains odd house numbers. The geocoding process uses an algorithm to find the geographic location of addresses. First, a street segment is identified using the zip code and street name. Next, the geographic location of the address is matched using the building number to determine how far down the street and on which side of the street the building is located. Geocoding Accuracy The locational accuracy of geocoded addresses may vary from urban to rural areas due to the algorithm used to generate the geographic locations of addresses. The algorithm assumes that the size of parcels are equivalent along a road route. This assumption tends to be more consistent in urban areas, where the size of parcels vary less than in rural areas. Consequently, the results of geocoded addresses in urban areas are usually more reliable than those in rural areas. For example, the locational accuracy of rural addresses can be slightly off because some parcels along a rural route may be 15 acres while others may be 2.5 acres, but the geocoding algorithm assumes that the addresses are distributed evenly along the route. In the case of this dataset, special attention was given to the position of the resulting x,y point location of the geocoded address. The location of geocoded x,y point was manually moved by GeoPlan Center from the street to on top of the facility building. 20031003 20170906 publication date Complete As needed -87.317987 -79.893369 30.984931 24.526790 None Regional Medical Center Hospitals FDEM Emergency Management Urgent Care Emergency ISO 19115 Topic Category health None Florida None 2017 None The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.html University of Florida GeoPlan Center Kate Norris mailing and physical

131 Architecture PO Box 115706

Gainesville FL 32611 US data@fgdl.org www.geoplan.ufl.edu/ See Process Steps for Sources. Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595 Hospital and Nursing Home Profiles http://www.hospital-data.com/ Federation of American Hospitals - Florida http://fah.org/# Florida Hospital Association - www.fha.org Florida Department of Health - Environmental Health GIS Data http://www.floridahealth.gov/environmental-health/gis/gis-data.html Florida Agency for Health Care Administration - Facility Locator http://www.floridahealthfinder.gov/facilitylocator/facloc.aspx GeoPlan relied on the integrity of the attribute information within the original data. This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology This data is provided 'as is' by GeoPlan and is complete to our knowledge. This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan 0 None Spatial and Attribute Information In 2017, GeoPlan created the Florida hospitals boundaries shapefile. During the QA/QC process, GeoPlan performed the following tasks: - Created a new shapefile (GC_HOSPITALSBND_SEP17.shp) with an Albers projection. - Spatially joined the Hospitals points shapefile with the 2014 Florida parcel layer. - Verified all records in GC_HOSPITALSBND_SEP17.shp using imagery, 2014-15 FGDL parcel data, and Google Street View. If the 2015 parcel record differed from the 2014 record, the shapefile was updated with the 2015 parcel data. Records unable to be verified were noted. See the attribute flag field for an in-depth definition. - A GCID field was created and populated with a unique ID linking each polygon feature with its corresponding point layer feature, GC_HOSPITALS_SEP17. - To reflect the current table syntax by GeoPlan, all unnecessary parcel information fields were deleted. - FDEM_ID, NAME, ADDRESS, CITY, ZIPCODE, COUNTY, PHONE, TYPE, OWNER, OPERATING, OP_CLASS, AHCA_OWNER, PROFIT, CAPACITY, BEDS, STATE_ID, EFCLASS, AHCA_NUM, CON1_TYPE, CON1_UP, CON1_DOWN, CON2_TYPE, CON2_UP, CON2_DOWN, CON3_TYPE, CON3_UP, CON3_DOWN, NET_CONS, WEBSITE, FSOURCE, LAT_DD, LONG_DD, and DESCRIPT fields were added and populated with the exact same data as the GC_HOPSITALS_SEP17.shp. - The table was then restructured and uppercased. GeoPlan 20170906 Vector GT-polygon composed of chains 349 NAD 1983 HARN Florida GDL Albers 24.0 31.5 -84.0 24.0 400000.0 0.0 coordinate pair 0.0001 0.0001 meter D North American 1983 HARN GRS 1980 6378137.0 298.257222101 GC_HOSPITALSBND_SEP17 GC_HOSPITALSBND_SEP17.DBF GeoPlan OBJECTID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. PARCELID Parcel Identification Number, derived from either the 2014 or 2015 statewide parcel layers. GeoPlan FDEM_ID Florida Department of Emergency Management Idenitification number. GeoPlan NAME Name of the facility. GeoPlan ADDRESS A description of a facility's physical location providing direction for delivery and provision of emergency services. GeoPlan CITY City of facility's physical location. GeoPlan ZIPCODE US postal delivery designation of facility's physical location. GeoPlan COUNTY County of facility's physical location. GeoPlan PHONE The phone number of the facility. GeoPlan TYPE Category of hospital. GeoPlan OWNER Entity owner of the facility. GeoPlan OPERATING The responsible organization for management and operation of a facility (e.g., public, private, quasi-public). GeoPlan OP_CLASS Classification of the operating entity. GeoPlan AHCA_OWNER Agency for Healthcare Administration Owner GeoPlan PROFIT Profit status for hospital. GeoPlan CAPACITY Capacity of the facility. GeoPlan BEDS Number of beds in the facility. GeoPlan STATE_ID State Hospital Data ID. For states that contributed data, this attribute is populated with the unique ID used by the state to track hospitals. Duplicate IDs may be possible where TGS has added records which correspond to a state provided record and, therefore, an identical ID was created. GeoPlan EFCLASS Indicates essential facilities classification. The values for this attribute were provided by the Post, Buckley, Schuh, and Jernigan, Incorporated (PBSJ) and TGS did not verify these values. TGS EFHL Entity is classified as : Medical Care Facilities -- Large Hospital -- Hospitals with greater than 150 beds. TGS EFHM Entity is classified as : Medical Care Facilities -- Medium Hospital -- Hospitals with beds between 50 and 150. TGS EFHS Entity is classified as : Medical Care Facilities -- Small Hospital -- Hospitals with less than 50 beds. TGS <BLANK> Unknown GeoPlan AHCA_NUM Agency for Health Care Administration number. GeoPlan CON1_TYPE Type of service of first internet connection. GeoPlan CON1_UP Upstream connection speed of first internet connection. GeoPlan CON1_DOWN Downstream connection speed of first internet connection. GeoPlan CON2_TYPE Type of service of second internet connection. GeoPlan CON2_UP Upstream connection speed of second internet connection. GeoPlan CON2_DOWN Downstream connection speed of second internet connection. GeoPlan CON3_TYPE Type of service of third internet connection. GeoPlan CON3_UP Upstream connection speed of third internet connection. GeoPlan CON3_DOWN Downstream connection speed of third internet connection. GeoPlan NET_CONS Total number of internet connections. GeoPlan WEBSITE Web address. GeoPlan ACTYRBLT The actual year built derived from the 2014-15 parcel database. GeoPlan FSOURCE Feature spatial source. GeoPlan DATASOURCE Feature Data/Tabular Source. GeoPlan NOTES Notes GeoPlan LAT_DD Latitude in decimal degrees. GeoPlan LONG_DD Longitude in decimal degrees. GeoPlan MGRS Military Grid Reference System (MGRS) Coordinate of the Facility. The MGRS is the geocoordinate standard used by NATO militaries for locating points on the Earth. The MGRS provides a means to represent any location on the surface of the Earth using alphanumeric string. Hierarchical references are based on the Universal Transverse Mercator (UTM) Coordinate System. The MGRS is used for the entire Earth. http://mgrs-data.org/ GeoPlan GCID The GeoPlan Center identification number that links this polygon layer feature with it's corresponding point layer feature (GC_HOSPITALS). GeoPlan ACRES Facility acreage. GeoPlan DESCRIPT Field added by FGDL based on NAME. GeoPlan FLAG Identifies if the facility's spatial location has been visually verified. GeoPlan V Verified. Verified, in most cases this verification was based on ESRI/Google Imagery, Google Street View, and Parcel Data. The exact facility boundaries are not verified and in many cases only based on parcel boundaries. GeoPlan NV Not Verified. GeoPlan UPDATE_DAY The date the data was last updated by the Source. GeoPlan FGDLAQDATE The date FGDL acquired the data from the Source. GeoPlan GOOGLEMAP AUTOID Unique ID added by GeoPlan GeoPlan SHAPE.AREA Area in meters GeoPlan SHAPE.LEN Perimeter in meters GeoPlan Florida Geographic Data Library (FGDL) mailing

431 Architecture PO Box 115706

Gainesville Florida 32611-5706 US Mailing list for FGDL: http://www.fgdl.org/fgdl-l.html FGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.html For FGDL Software: http://www.fgdl.org/software.html Technical Support: http://www.fgdl.org/fgdlfeed.html Web site: http://www.fgdl.org DOWNLOADABLE DATA The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.html 20200303 University of Florida GeoPlan Center Kate Norris mailing and physical

131 Architecture PO Box 115706

Gainesville FL 32611 US data@fgdl.org www.fgdl.org FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time