Geodataset Name:       GC_HEALTH_AUG14
Geodataset Type:       SHAPEFILE
Geodataset Feature:    Point
Feature Count:         18414

DATA SOURCE(S):                    University of Florida GeoPlan Center
SCALE OF ORIGINAL SOURCE MAPS:     Varies
GEODATASET EXTENT:                 State of Florida

PUBLICATION DATE:                  20140812
TIME PERIOD OF CONTENT:            20140812
DOWNLOAD LINK:                     http://www.fgdl.org/metadataexplorer/explorer.jsp

FEATURE ATTRIBUTE TABLES:

Datafile Name: GC_HEALTH_AUG14.DBF

FEATURE ATTRIBUTE TABLES CODES AND VALUES:

Item	Item Description
OBJECTID	Internal feature number.
Shape	Feature geometry.
PARCELID	Parcel Identification Number, derived from the 2014 statewide parcel layer.
NAME	Name of the facility.
ADDRESS	A description of a facility's physical location providing direction for delivery and provision of emergency services
CITY	City of facility's physical location.
ZIPCODE	US postal delivery designation of facility's physical location.
PHONE	The phone number of the facility.
COUNTY	County of facility's physical location.
TYPE	Category of health care facility. ABORTION CLINICS = Abortion Clinics DIALYSIS CLINIC = Dialysis Clinic: A facility with dialysis machines used in dialysis that filters a patient's blood to remove excess water and waste products when the kidneys are damaged, dysfunctional, or missing. MEDICAL DOCTOR = Medical Doctor NURSING HOME = Nursing Home: A residential facility for people with chronic illness or disability, particularly older people who have mobility and eating problems. Also known as a convalescent home and long-term care facility. OSTEOPATH = Osteopath Clinic: A facility that treats people who are sick or in pain by pushing and moving bones and muscles. STATE LABORATORY/CLINIC = State Laboratory/Clinic SURGICAL CENTER/WALK-IN CLINIC = Surgical Center/Walk-In Clinic: A Surgical Center is a facilities where surgical procedures not requiring an overnight hospital stay are performed. A Walk-In Clinic describes a very broad category of medical facilities only loosely defined as those that accept patients on a walk-in basis and with no appointment required. A number of healthcare service providers fall under the walk-in clinic umbrella including urgent care centers, retail clinics and even many free clinics or community health clinics.
FDOH_ID	FDOH Identification Number
OWNER	Entity owner of the facility.
OPERATING	The responsible organization for management and operation of a facility (e.g., public, private, quasi-public).
OP_CLASS	Classification of the operating entity.
FSOURCE	Feature Spatial Source. For the following example GeoPlan is the feature source, the location was GeoCoded to the 2014 Parcel Centroid, it Matched and had a Score of 100. Example: GEOPLAN - GC_PARCELS_2014(M)[100]
DATASOURCE	Feature Data/Tabular Source.
LAT_DD	Latitude in decimal degrees.
LONG_DD	Longitude in decimal degrees.
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 an 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/
GCID	The GeoPlan Center identification number that links this point feature layer with its corresponding polygon feature layer.
DESCRIPT	Based on the field NAME.
FLAG	Describes if the facility was visually verified or not. V = Verified. Please Note: The following point data represents only Geocoded features, these points HAVE NOT been validated via QAQC methods such as aerials or Google Street View. Records that have been marked with a FLAG = V are locations that have geocoded to a parcel's centroid, based on the parcels physical address. NV = Not Verified
UPDATE_DAY	The date the data was last updated by the Source.
FGDLAQDATE	The date FGDL acquired the data from the Source.
AUTOID	Unique ID added by GeoPlan

USER NOTES:

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.

GeoPlan relied on the integrity of the attribute information within the original data.

******************************************************************************** Please Note: The following point data represents only Geocoded features, these points HAVE NOT been validated via QAQC methods such as aerials or Google Street View. Records that have been marked with a FLAG = V are locations that have geocoded to a parcel's centroid, based on the parcels physical address. ******************************************************************************** Please Note: Duplicate address points may exist where more than one health care function occurs. ******************************************************************************** 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.

The data was created to serve as base information for use in GIS systems for a variety of planning and analytical purposes.

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

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

REFERENCES:

Florida Department of Health Environmental Health GIS Data http://www.floridahealth.gov/environmental-health/gis/gis-data.html

DATA LINEAGE SUMMARY:

GeoPlan Center Process Steps: Health Care Facilities were obtained from the following Florida Department of Health website on January 27th, 2016: http://www.floridahealth.gov/environmental-health/gis/gis-data.html http://www.floridahealth.gov/environmental-health/gis/_documents/biomedical-waste.zip ****************************** FDOH Biomedical_Waste.shp Point RECORD COUNT = 40717 20140812 Projection: WGS84 ****************************** GeoPlan downloaded this data and exported a subset of the .dbf / Attribute Table. The subset included: ABORTION CLINIC DIALYSIS CLINIC MEDICAL DOCTOR NURSING HOME OSTEOPATH STATE LABORATORY/CLINIC SURGICAL CENTER/WALK-IN CLINIC The .dbf was then geocoded against a combination address locator, derived from parcel centroids and street centerlines, and converted into a shapefile with the FGDL Albers HPGN map projection. Please Note: The following point data represents only Geocoded features, these points HAVE NOT been validated via QAQC methods such as aerials or Google Street View. Records that have been marked with a FLAG = V are locations that have geocoded to a parcel's centroid, based on the parcels physical address. Next GeoPlan Center performed the following attribute table adjustments. -Upper cased all records. -Added DESCRIPT field based on NAME -Socio-Cultural Effect data fields and definitions were added. FLAG, UPDATE_DAY, NAME, ADDRESS, CITY, ZIPCODE, OPERATING, OP_CLASS, FGDLAQDATE. ******************************************************************************** Please Note: Duplicate address points may exist where more than one health care function occurs. ******************************************************************************** Process Date: 20160127

MAP PROJECTION PARAMETERS:

Projection                          ALBERS
Datum                               HPGN
Units                               METERS
Spheroid                            GRS1980
1st Standard Parallel               24  0  0.000
2nd Standard Parallel               31 30  0.000
Central Meridian                   -84 00  0.000
Latitude of Projection's Origin     24  0  0.000
False Easting (meters)              400000.00000
False Northing (meters)             0.00000

DATA SOURCE CONTACT (S):

Name:
Abbr. Name:
Address:


Phone:

Web site:
E-mail:
Contact Person:
         Phone:
        E-mail:

University of Florida GeoPlan Center
GeoPlan
431 Architecture BLDG, PO Box 115706
Gainesville, FL
32611



http://www.fgdl.org
data@fgdl.org
Kate Norris

Name:                   FLORIDA GEOGRAPHIC DATA LIBRARY
Abbr. Name:             FGDL
Address:                Florida Geographic Data Library
                        431 Architecture Building
                        PO Box 115706
                        Gainesville, FL  32611-5706
Web site:               http://www.fgdl.org

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