FLORIDA GEOGRAPHIC DATA LIBRARY DOCUMENTATION

TITLE: RELIGIOUS CENTER FACILITIES BOUNDARIES IN FLORIDA - 2015

Geodataset Name:       GC_RELIGIONBND_OCT15
Geodataset Type:       SHAPEFILE
Geodataset Feature:    Polygon
Feature Count:         16757
GENERAL DESCRIPTION:
This dataset contains 2015 Religious Center Facility boundary information for the State of Florida. It contains a combination of churches, temples, synagogues, mosques, chapels, centers and other types of religious center locations, from data sources including: county specific religious locations, SuperPages address locations, and Florida Department of Revenue parcel data compiled and standardized by Panda Consulting. This data is meant to be used for planning purposes only and is not intended to represent a 100% inventory of religious center boundaries. Religious Center locations that have been verified are marked with the letter V in the FLAG field. This layer is an update of the previously released FGDL layer PAR_RELIGION_10.
DATA SOURCE(S):                    University of Florida GeoPlan Center
SCALE OF ORIGINAL SOURCE MAPS:     Varies
GEODATASET EXTENT:                 State of Florida
PUBLICATION DATE: 20151015 TIME PERIOD OF CONTENT: Begin Date: 20150701 End Date: 20151015 DOWNLOAD LINK: http://www.fgdl.org/metadataexplorer/explorer.jsp

FEATURE ATTRIBUTE TABLES:

Datafile Name: GC_RELIGIONBND_OCT15.DBF
ITEM NAME WIDTH TYPE N. DECIMAL DEGREES
FID
4 OID ---
Shape
0 Geometry ---
PARCELID
50 String ---
NAME
100 String ---
ADDRESS
65 String ---
CITY
40 String ---
ZIPCODE
5 Number ---
COUNTY
35 String ---
PHONE
20 String ---
TYPE
60 String ---
OWNER
60 String ---
OPERATING
60 String ---
OP_CLASS
20 String ---
SERVICES
50 String ---
YR_BUILT
4 Number ---
FSOURCE
100 String ---
DATASOURCE
100 String ---
FDEM_ID
50 String ---
LAT_DD
19 Number 9
LONG_DD
19 Number 9
MGRS
15 String ---
GCID
9 Number ---
ACRES
10 Number 3
DESCRIPT
100 String ---
FLAG
5 String ---
UPDATE_DAY
8 Date ---
FGDLAQDATE
8 Date ---
AUTOID
4 Integer ---
SHAPE.AREA
0 Double ---
SHAPE.LEN
0 Double ---

FEATURE ATTRIBUTE TABLES CODES AND VALUES:

Item
Item Description
FID Internal feature number.

Shape Feature geometry.

PARCELID Parcel Identification Number.

NAME Name of the facility.

ADDRESS Address of the facility.

CITY City the facility is located in.

ZIPCODE Zip code the facility is located in.

COUNTY County the facility is located in.

PHONE The phone number of the facility.

TYPE Type of religious denomination.

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.

SERVICES Type of social or community services offered by the religious center, if applicable.

YR_BUILT The year a structure was built for determining possible historical significance.

FSOURCE Feature Spatial Source.

DATASOURCE Feature Data/Tabular Source.

FDEM_ID FDEM Identification Number.

LAT_DD Latitude in decimal degrees.

LONG_DD Longitude in decimal degrees.

MGRS Military Grid Reference System (MGRS) Coordinate of the Parcel Centroid. 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 polygon feature layer with its corresponding point feature layer.

ACRES Acreage of facility boundary.

DESCRIPT FGDL added field based on NAME.

FLAG Type of update that occurred.
V = Verified, in most cases this NAME field verification was based on ESRI/Google Imagery and Google Street View.

NV = Not verified


UPDATE_DAY The last day the file was updated.

FGDLAQDATE The date FGDL aquired the data from the source.

AUTOID Unique ID added by GeoPlan

SHAPE.AREA Area in meters

SHAPE.LEN Perimeter in meters

RELIGIOUS CENTER FACILITY TYPES:
----------------------------------------------------------------
ADVENT CHRISTIAN CHURCHES (11)
AFRICAN METHODIST EPISCOPAL CHURCHES (437)
ALLIANCE CHURCHES (61)
AMISH CHURCHES (1)
ANGLICAN CHURCHES (47)
APOSTOLIC CHURCHES (280)
ARMENIAN CHURCHES (4)
ASSEMBLY OF GOD CHURCHES (495)
BAHA'I CHURCHES (5)
BAPTIST CHURCHES (3824)
BEREAN CHURCHES (3)
BIBLE CHURCHES (139)
BUDDHIST TEMPLES (30)
CALVARY CHAPEL CHURCHES (47)
CATHOLIC CHURCHES (609)
CHARISMATIC CHURCHES (37)
CHRISTIAN CHURCHES (726)
CHRISTIAN METHODIST EPISCOPAL CHURCHES (36)
CHRISTIAN SCIENCE CHURCHES (64)
CHURCH OF CHRIST CHURCHES (574)
CHURCH OF GOD CHURCHES (985)
CHURCH OF GOD IN CHRIST CHURCHES (183)
CHURCH OF JESUS CHRIST OF LATTER DAY SAINTS-MORMON CHURCHES (160)
CHURCH OF THE BRETHREN CHURCHES (33)
CHURCH OF THE LIVING GOD CHURCHES (91)
CHURCH OF THE NAZARENE CHURCHES (175)
CHURCH ON THE ROCK CHURCHES (6)
COMMUNITY CHURCHES (380)
COMMUNITY OF CHRIST CHURCHES (22)
CONGREGATIONAL CHURCHES (37)
COVENANT CHURCHES (31)
CRUSADERS CHURCHES (2)
DELIVERANCE CHURCHES (136)
DISCIPLES OF CHRIST CHURCHES (5)
EASTERN ORTHODOX CHURCHES (12)
EPISCOPAL CHURCHES (339)
EVANGELICAL CHURCHES (145)
FOURSQUARE GOSPEL CHURCHES (12)
FULL GOSPEL CHURCHES (94)
GOSPEL CHURCHES (23)
GREEK ORTHODOX CHURCHES (35)
HARE KRISHNA TEMPLES (6)
HINDU CHURCHES (37)
HISPANIC CHURCHES (3)
HOLINESS CHURCHES (192)
HOUSE OF GOD CHURCHES (72)
INDEPENDENT CHURCHES (32)
INTERDENOMINATIONAL CHURCHES (92)
INTERNATIONAL PENTECOSTAL HOLINESS CHURCHES (42)
JEHOVAH'S WITNESS CHURCHES (318)
JEWISH - SYNAGOGUES / RELIGIOUS BUILDINGS (222)
KOREAN CHURCHES (6)
LUTHERAN CHURCHES (421)
MENNONITE CHURCHES (30)
METAPHYSICAL CHURCHES (9)
METHODIST CHURCHES (126)
MINISTRIES CHURCHES (448)
MISC. DENOM. - CHURCH, TEMPLE, SHRINE, CENTER (412)
MISSION CHURCHES (67)
MISSIONARY BAPTIST CHURCH (666)
MISSIONARY CHURCHES (84)
MORAVIAN CHURCHES (4)
MUSLIM - MOSQUE / MASJID / ISLAMIC BUILDINGS (74)
NEW TESTAMENT CHURCHES (2)
NON-CHURCH RELIGIOUS ORGS (14)
NON-DENOMINATIONAL CHURCHES (425)
OPEN BIBLE CHURCHES (10)
ORTHODOX CHURCHES (88)
PENTECOSTAL CHURCHES (587)
PRESBYTERIAN CHURCHES (507)
QUAKER CHURCHES (9)
REFORMED CHURCHES (11)
RELIGIOUS SCIENCE CHURCHES (9)
SCIENTOLOGY CHURCHES (8)
SEVENTH DAY ADVENTIST CHURCHES (321)
SPANISH SPEAKING CHURCHES (78)
SPIRITUAL CHURCHES (5)
SWEDENBORGIAN CHURCHES (2)
TAOIST CENTERS (2)
UNITARIAN UNIVERSALIST CHURCHES (39)
UNITED CHURCH OF CHRIST CHURCHES (58)
UNITED METHODIST CHURCHES (761)
UNITY CHURCHES (45)
UNIVERSAL CHURCHES (10)
VINEYARD CHRISTIAN FELLOWSHIP CHURCHES (14)
WESLEYAN CHURCHES (40)
WORD CHURCHES (13)
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.
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 Revenue
http://dor.myflorida.com/dor/property/

Panda Consulting
http://www.pandaconsulting.com/index.html

SuperPages
http://www.superpages.com/

DATA LINEAGE SUMMARY:
GeoPlan used 2014 Florida Department of Revenue parcel tax data records 
as compiled and standardized by Panda Consulting for all 67 counties in the 
State of Florida, to create the religious center boundaries layer. The religious 
center boundaries layer, GC_RELIGIONBND_OCT15 was created as follows: 

(1) Parcels were selected using the already verified religious facilities from the 
existing GC_RELIGION_OCT15 religious centers point layer, which was created 
using data from county specific religious locations and SuperPage address locations 
for religious centers. The selection was then exported to create the layer. The 
GC_RELIGION_OCT15 and GC_RELIGIONBND_OCT15 layers can be linked by 
a unique ID found in the GCID field.  

(2) A land-use code value in the 2014 parcels layer was used to identify any 
religious centers that were not identified via the religious centers point layer. 
All records with the use-code, 071 "Churches" were selected out and exported. 
Next, the selected parcels were examined to determine whether or not they indeed 
contained a religious facility. In most cases, religious center locations were checked 
using imagery and Google Street View. Parcels that could be verified were added to 
the layer.
Process Date: 20150701

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
131 ARCH BLDG, PO Box 115706
Gainesville, FL
32611


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

FGDL CONTACT:
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

Contact FGDL: 

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