FLORIDA GEOGRAPHIC DATA LIBRARY DOCUMENTATION TITLE: LODGING FACILITIES IN FLORIDA - JUNE 2011 Geodataset Name: GC_HOTELS_JUN11 Geodataset Type: SHAPEFILE Geodataset Feature: Point Feature Count: 4672 |
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GENERAL DESCRIPTION:
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DATA SOURCE(S): University of Florida GeoPlan Center SCALE OF ORIGINAL SOURCE MAPS: Varies GEODATASET EXTENT: State of Florida |
FEATURE ATTRIBUTE TABLES:
Datafile Name: GC_HOTELS_JUN11.DBF
ITEM NAME | WIDTH | TYPE |
OBJECTID
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4 | OID |
Shape
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4 | Geometry |
Status
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1 | String |
Score
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2 | SmallInteger |
Match_type
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2 | String |
Side
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1 | String |
Match_addr
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103 | String |
NAME
|
100 | String |
ADDRESS
|
65 | String |
CITY
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40 | String |
ZIPCODE
|
4 | Integer |
STATE
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3 | String |
COUNTY_COD
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3 | String |
PHONE
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17 | String |
PHONE2
|
17 | String |
BOARD_CODE
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4 | String |
LIC_TYPE
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5 | String |
LIC_NAME
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100 | String |
RANK_CODE
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5 | String |
MNAME
|
41 | String |
MADDRESS
|
37 | String |
MADDRESS2
|
40 | String |
MADDRESS3
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36 | String |
MCITY
|
21 | String |
MSTATE
|
3 | String |
MZIPCODE
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11 | String |
MCNT_CODE
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3 | String |
DISTRICT
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2 | String |
REGION
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3 | String |
LIC_NUM
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11 | String |
PRI_STATUS
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3 | String |
SEC_STATUS
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3 | String |
EXPIRE
|
11 | String |
INSPECT
|
11 | String |
SEATS
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4 | Integer |
LAT_DD
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8 | Double |
LONG_DD
|
8 | Double |
USNG_FL_1K
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10 | String |
SOURCE
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20 | String |
DESCRIPT
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100 | String |
FLAG
|
5 | String |
UPDATE_DAY
|
36 | Date |
FGDLAQDATE
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36 | Date |
AUTOID
|
4 | Integer |
FEATURE ATTRIBUTE TABLES CODES AND VALUES:
Item | Item Description | |
OBJECTID |
Internal feature number. |
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Shape |
Feature geometry. |
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Status |
ESRI item which denotes the status of the geocoded address (whether it was matched or not)
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Score |
ESRI item which denotes the score with which the address was matched to a feature in the reference data. |
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Match_type |
ESRI item which donates a code showing how an address was matched.
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Side |
ESRI item which donates the side of the street to which an address was matched, if the address locator that was used to match the table contains address information for both sides of the street. This attribute has values of "L" for the left side of the street, "R" for the right side of the street, or nothing if the address locator could not determine the side of the street. |
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Match_addr |
ESRI item which donates the address that the matched location actually resides based on the information of the matched candidate. For example, an input address "123 Main St N" is matched to a candidate with the suffix direction "NW" and all other components matched correctly. The Match_addr field will contain "123 Main St NW" as the actual address that was matched. |
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NAME |
Name of the lodging facility. |
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ADDRESS |
Address of the lodging facility. |
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CITY |
City of the lodging facility. |
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ZIPCODE |
Zipcode of the lodging facility. |
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STATE |
State of the lodging facility. |
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COUNTY_COD |
County code of the lodging facility (see below). |
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PHONE |
Primary Telephone Number. |
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PHONE2 |
Secondary Telephone Number. |
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BOARD_CODE |
Board Code (200 identifies HR within the department). |
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LIC_TYPE |
License Type Code.
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LIC_NAME |
Licensee Name. |
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RANK_CODE |
Rank Code.
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MNAME |
Mailing Name (if different from Licensee Name). |
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MADDRESS |
Mailing Street Address Line 1. |
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MADDRESS2 |
Mailing Address Line 2. |
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MADDRESS3 |
Mailing Address Line 3. |
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MCITY |
Mailing City. |
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MSTATE |
Mailing State. |
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MZIPCODE |
Mailing Zip Code. |
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MCNT_CODE |
Mailing County Code (see table below). |
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DISTRICT |
District. |
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REGION |
Region. |
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LIC_NUM |
License Number. |
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PRI_STATUS |
Primary Status Code.
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SEC_STATUS |
Secondary Status Code.
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EXPIRE |
Expiry Date. |
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INSPECT |
Last Inspection Date. |
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SEATS |
Number of rental units. |
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LAT_DD |
Latitude in Decimal Degrees. |
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LONG_DD |
Longitude in Decimal Degrees. |
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USNG_FL_1K |
Facility's 1-kilometer United States National Grid (USNG) address. The USNG is an alpha-numeric reference system based on the UTM coordinate system and is similar to the Military Grid Reference System. Use of the USNG ensures a uniform grid mapping and positional reporting system for search and rescue, emergency planning, response, and recovery. |
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SOURCE |
Source of the tabular information. |
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DESCRIPT |
Based on NAME. |
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FLAG |
This field is reserved for post FGDL field verification purposes. A blank value in this field indicates that verification edits have not taken place. Users that edit the location and/or attribute of a record are asked to mark this field with one of the following values
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UPDATE_DAY |
The last day the record was updated. |
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FGDLAQDATE |
The date FGDL acquired the data from the source. |
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AUTOID |
Unique ID added by GeoPlan |
County Codes by Region: REGION 1 - Dade (23), Monroe (54) REGION 2 - Broward (16), Martin (53), Palm Beach (60) REGION 3 - Citrus (19), Hernando (37), Hillsborough (39), Pasco (61), Pinellas (62), Polk (63), Sumter (70) REGION 4 - Brevard (15), Indian River (41), Lake (45), Orange (58), Osceola (59), St. Lucie (66), Seminole (69), Volusia (74) REGION 5 - Alachua (11), Baker (12), Bradford (14), Clay (20), Columbia (22), Dixie (25), Duval (26), Flagler (28), Gilchrist (31), Hamilton (34), Lafayette (44), Levy (48), Marion (52), Nassau (55), Putnam (64), St. Johns (65), Suwannee (71), Union (73) REGION 6 - Bay (13), Calhoun (17), Escambia (27), Franklin (29), Gadsden (30), Gulf (33), Holmes (40), Jackson (42), Jefferson (43), Leon (47), Liberty (49), Madison (50), Okaloosa (56), Santa Rosa (67), Taylor (72), Wakulla (75), Walton (76), Washington (77) REGION 7 - Charlotte (18), Collier (21), Desoto (24), Glades (32), Hardee (35), Hendry (36), Highlands (38), Lee (46), Manatee (51), Okeechobee (57), Sarasota (68) |
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. |
The Florida Department of Business & Professional Regulation oversee licensing and regulation of a wide range of commercial activities in the state of Florida pursuant to Chapter 20.165, Florida Statutes. 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 |
Under Chapter 119, Florida Statutes, the Department of Business and Professional Regulation (DBPR) is required to make available for inspection and copying any public record regardless of physical format, which is not otherwise exempted from public access by general law. To fulfill this obligation, the DBPR provides copies of electronic records to the public through free download. DBPR is only required to provide data in the format in which it is maintained and, as a result, does not provide paper copies of this information. In addition, the DBPR is not required to reformat its records to meet a requestor's particular needs. Section 119.01(2)(b), F.S., requires only that the agency provide electronic data in some common format such as, but not limited to, the American Standard Code for Information Interchange (ASCII) text format. As, the download files provided by DBPR are formatted as ASCII text, quote/comma delimited. Due to this, it is important that requestors know the following information before downloading a file: DBPR does not offer technical support during or after the download process. If you require assistance, please refer to your computer manuals or contact your Corporate Help Desk or Internet Service Provider. File sizes may be larger than the space available on your computer. If that is the case, free up additional space before attempting the download. Some features such as tabs, font selection, and graphics may be lost when converting a file to ASCII text. The department is not responsible for damages sustained to existing user data, software and/or hardware from data obtained through the download process. Although data is refreshed weekly, system maintenance may delay the updating of files. To determine the timeliness of the data, please refer to the date posted. For up-to-the-minute license verification, please call our Customer Contact Center at 850.487.1395 or access the DBPR's license search feature at https://www.myfloridalicense.com/wl11.asp. |
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 |
Florida Department of Business & Professional Regulation Website: http://www.myfloridalicense.com/dbpr/index.html Florida Department of Business & Professional Regulation Lodging License Files: http://www.myfloridalicense.com/dbpr/sto/file_download/hr_lodging.shtml |
GeoPlan Center Process Steps: Lodging information was obtained from the Florida Department of Business & Professional Regulation via their Lodging License files public records download website (see below) http://www.myfloridalicense.com/dbpr/sto/file_download/hr_lodging.shtml Seven separate tables were downloaded representing different licensing and inspection districts across the state of Florida in CSV format. The tables were converted to DBF format, formatted, and merged together. There were 37,457 records in the merged table. The merged table contained timeshares representing condominiums, apartments, and rooming houses that were of no interest to this dataset. Motels, condominiums, and bed & breakfasts were exported to a new .dbf table that consisted of 4,697 records. This dbf was then geocoded against a statewide 2010 NAVTEQ street dataset and converted into a shapefile with the FGDL Albers HPGN map projection. (See "Map Projection Parameters" below). After geocoding the following steps were applied. - Unmatched locations or locations receiving a score below 80 were reevaluated using Google Maps. Locations' addresses that were successfully located were modified to reflect the correct address using the geocode rematch tool in ArcGIS. - 19 records were unable to be matched after reevaluation and therefore removed from the database. - Capitalized all fields. - Removed the "Filler", "Location Address Line 2", and "Location Address Line 3" fields. - Added and calculated the USNG_FL_1K, LONG_DD, and, LAT_DD fields. - Added FLAG and UPDATE_DAY fields. - Added FGDLAQDATE based on the date GeoPlan acquired the data from the Source. - Added the DESCRIPT field based on NAME The original tables downloaded on 6/13/2011: District File Name Records 1 hrlodge1.csv 7,196 2 hrlodge2.csv 4,954 3 hrlodge3.csv 7,391 4 hrlodge4.csv 10,658 5 hrlodge5.csv 2,477 6 hrlodge6.csv 2,562 7 hrlodge7.csv 2,219 Original table structure: Board Code (200 identifies HR within the department) License Type Code (see tables below) Licensee Name Rank Code (see tables below) Modifier Code (see tables below) Mailing Name (if different from Licensee Name) Mailing Street Address Line 1 Mailing Address Line 2 Mailing Address Line 3 Mailing City Mailing State Mailing Zip Code Mailing County Code (see table below) Primary Telephone Number Business Name (Location) Filler Location Street Address Line 1 Location Address Line 2 Location Address Line 3 Location City Location State Location Zip Code Location County Code (see table below) Secondary Telephone Number District Region License Number Primary Status Code (see table below) Secondary Status Code (see table below) Expiry Date Last Inspection Date Number of Seats (food service) or Rental Units (lodging) Process Date: 20110630 |
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 Architecture PO Box 115706 Gainesville, Florida 32611-5706 |
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: Technical Support: http://www.fgdl.org/fgdlfeed.html FGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.html FGDL Mailing Lists: http://www.fgdl.org/fgdl-l.html For FGDL Software: http://www.fgdl.org/software.html