University of Florida GeoPlan Center 20110307 vector digital data Gainesville, FL University of Florida GeoPlan Center State of Florida http://www.floridahealthfinder.gov/index.html This dataset represents Florida Hospital locations and their broadband connections and capacity. 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. 20110307 publication date Complete As needed -87.246532 -79.893358 30.984492 24.527389 None Hospitals None Florida 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 mailing

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Gainesville FL 32611 Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595 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 20110301 State of Florida http://www.floridahealthfinder.gov/index.html 0 onLine GeoPlan Spatial and Attribute Information GeoPlan received this dataset from (insert name here) via email in March 2011. GeoPlan downloaded this data in an excel format and converted it to a dbf. The dbf was then geocoded against Navteq Roads and converted into a shapefile with the FGDL Albers HPGN map projection. Original file contained 286 records. There were problems with the geocoding of 30 records due to improperly formed addresses or incorrect zip codes. Of these 30, all 30 were corrected. - All records were upcased. - Changed original layer name from Hospital Broadband Final CBS1.xlsx to bb_hospitals - A DESCRIPT field was added based on NAME - A FGDLAQDATE field was added based on date GeoPlan downloaded the data GeoPlan 20110307 Vector Entity point 286 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 BB_HOSPITALS BB_HOSPITALS.DBF GeoPlan OBJECTID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. Status ESRI item which denotes the status of the geocoded address (whether it was matched or not). ESRI Score ESRI item which denotes the score with which the address was matched to a feature in the reference data. ESRI Match_type A code showing how an adddress was matched. ESRI A Automatic M Manual PP Pick by point. Interactive map was used to place point. Side ESRI item which denotes the side of the street to which the address was matched (for geocoding service styles that can match an address to a particular side of a street). ESRI Match_addr The address that the matched location actually resides based on the information of the matched candidate. ESRI ARC_Zone The zip code that the matched location actually resides based on the information of the matched candidate. ESRI AHCA_NUM Agency for Health Care Administration number TYPE Point type NAME Name of hospital ADDRESS Address CITY City STATE State ZIP Zip code COUNTY County PHONE Phone number MAIL_ADD Mailing address MAIL_CITY Mailing city MAIL_ST Mailing state MAIL_ZIP Mailing zip code MAIL_CNTY Mailing county LIC_STAT License status OWNER Owner ADMIN Administrator or CEO BEDS Number of beds PROF_STAT Profit status WEBSITE Web address CON1_TYPE Type of service of first internet connection CON1_UP Upstream connection speed of first internet connection CON1_DOWN Downstream connection speed of first internet connection CON2_TYPE Type of service of second internet connection CON2_UP Upstream connection speed of second internet connection CON2_DOWN Downstream connection speed of second internet connection CON3_TYPE Type of service of third internet connection CON3_UP Upstream connection speed of third internet connection CON3_DOWN Downstream connection speed of third internet connection NET_CONS Total number of internet connections DESCRIPT FGDL added field based on NAME GeoPlan FGDLAQDATE FGDL added field based on date downloaded from source GeoPlan AUTOID Unique ID added by GeoPlan Geoplan Florida Geographic Data Library (FGDL) mailing

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Gainesville Florida 32611-5706 US For FGDL Software: http://www.fgdl.org/software.html Technical Support: http://www.fgdl.org/fgdlfeed.html FGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.html Web site: http://www.fgdl.org Mailing list for FGDL: http://www.fgdl.org/fgdl-l.html 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 20200302 University of Florida GeoPlan Danny Downing mailing

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Gainesville FL 32611 FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time