Geodataset Name:       GC_HOTELS_JUL08
Geodataset Type:       SHAPEFILE
Geodataset Feature:    Point
Feature Count:         8406

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

PUBLICATION DATE:                  20090417
TIME PERIOD OF CONTENT:            Begin Date: 2003    End Date: 20080721
DOWNLOAD LINK:                     http://www.fgdl.org/metadataexplorer/explorer.jsp

FEATURE ATTRIBUTE TABLES:

Datafile Name: GC_HOTELS_JUL08.DBF

FEATURE ATTRIBUTE TABLES CODES AND VALUES:

Item	Item Description
OBJECTID	Internal feature number. GRP = Group
Status	ESRI item which denotes the status of the geocoded address whether it was matched or not).
Score	ESRI item which denotes the score with which the address was matched to a feature in the reference data.
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).
Match_addr	ESRI item which denotes the full street layer address to which the address was matched.
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.
RENTAL_UNT	Number of Rental Units.
TYPE	Category of the facility derived from "Rank Code." HOTEL = Hotel MOTEL = Motel BED & BREAKFAST = Bed and Breakfast CONDOMINIUM = Condominium
LIC_TYPE	License Type Code 2001 = Hotel 2002 = Motel 2005 = Bed & Breakfast 2006 = Resort Condominium
LIC_NAME	Licensee Name
MOD_CODE	Modifier Code SNGL = Single GRP = Group CLCT = Collective
MNAME	Mailing Name (if different from Licensee Name)
MADDRESS	Mailing Address Line 1
MADDRESS2	Mailing Address Line 2
MCITY	Mailing City
MSTATE	Mailing State
MZIPCODE	Mailing Zip Code
MPHONE	Primary Telephone Number
LICENSE	License Number
LAT_DD	Latitude in decimal degrees.
LONG_DD	Longitude in decimal degrees.
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. How to Read a United States National Grid (USNG) Spatial Address Website - http://www.fgdc.gov/usng/how-to-read-usng/index_html
SOURCE	Source of the orginal data.
DESCRIPT	Based on the field NAME.
UPDATEDAY	The date the data was last updated by the Source.
FGDLAQDATE	The date FGDL acquired the data from the Source.
SHAPE	Feature geometry.
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.

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

DEPARTMENT OF BUSINESS AND PROFESSIONAL REGULATION LICENSEE DOWNLOAD FILES SITE DISCLAIMER 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 Department provides copies of electronic records to the public through this free download site. The Department is only required to provide data in the format in which they are maintained and, as a result, does not provide paper copies of this information. In addition, the Department 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. Therefore, the download files provided from this site are formatted as ASCII text, quote/comma delimited. Due to this, it is important that requestors know the following information before downloading a file: - The Department does not offer technical support during or after the download process. Please refer to your software manuals, Corporate Help Desk, or Internet Service Provider for any assistance you require; - File size may be larger than the space available on your computer; if so 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; - Files require Windows 3.1 and a 486 or higher computer and may not be compatible with Macintosh or Apple computer systems; - 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 are refreshed weekly, system maintenance may delay the updating of files. To determine the timeliness of data, please refer to the date posted. For up- to-the-minute, license verification, please call the Department's Customer Contact Center at 850.487.1395 or access the Department's License search feature at https://www.myfloridalicense.com/Default.asp - When downloading large data files such as the Construction, Cosmetology, and Real Estate licensees into Excel, you may exceed the number of rows that can be loaded. This error is usually encountered when an attempt to open a file with more than 65,536 rows or 256 columns is made. Excel is limited to 65,536 rows of data and 256 columns per worksheet. You can have many worksheets with this number of rows and columns, but they are usually capable of fitting into one workbook (file). The number of worksheets you can have per workbook is limited only by the amount of available memory your system has. By default, Excel can manage 3 worksheets, more if there is available memory to support the quantity of data. Truncation of rows or columns in excess of the limit is automatic and is not configurable. This issue can usually be remedied by opening the source file with a text editor, such as Microsoft Office Word, and then saving the file off into multiple files with row or column counts within the limits of an Excel worksheet. These files can then be opened or imported into Excel worksheets. If you are using a data format that does not support use of a text editor, it may be easier to import the data into Microsoft Office Access and then use the export feature of Access to import the data to an Excel format. Other methods of importing large source material into multiple worksheets are available, but may be more complex than using either a text editor or Access

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:

Yellow Pages website: www.YellowPages.com DEPARTMENT OF BUSINESS AND PROFESSIONAL REGULATION LICENSEE DOWNLOAD FILES http://www.myflorida.com/dbpr/sto/file_download/hr_lodging.shtml

DATA LINEAGE SUMMARY:

Process Steps for Yellow Pages Lodging Locations (2003): GeoPlan downloaded Lodging facility locations from the online Yellow Pages in 2003. -Searched for lodging addresses in www.yellowpages.com -Selected lodging addresses under following categories: Hotels (3704) Motels (2260) Inns (1071) Bed and Breakfast Inns (144) -All addresses from sections above were copied and pasted into a text file, which was then formatted so that it could be imported into Excel and converted to a database file format. -The dbf was then geocoded against ARC Logistics Route GDT Roads and converted into a shapefile with the FGDL Albers HPGN map projection. Process Date: 20030601 Process Steps for Department Of Business And Professional Regulation (DBPR): GeoPlan downloaded the following public lodging files from the DBPR on 20080721 from the website listed below. http://www.myflorida.com/dbpr/sto/file_download/hr_lodging.shtml Hotels and Restaurants: Lodging License files File Name Size - Updated District 1 1,940,841 - 07/21/2008 District 2 1,408,442 - 07/21/2008 District 3 1,926,205 - 07/21/2008 District 4 3,136,906 - 07/21/2008 District 5 661,474 - 07/21/2008 District 6 793,944 - 07/21/2008 District 7 631,125 - 07/21/2008 Using the following DBPR file format information from the readme.txt that came with the data the seven district text files were formatted so that they could be imported into Excel and converted to a database file format. HOTELS ACTIVE LICENSURE BASE MAILING (File layout for public lodging files) ---------------------------------------------------- Application Number (New and Owner Change Extracts Only) Application Type (New and Owner Change Extracts Only) Application Approval Date (New and Owner Change Extracts Only) Board Code (200 identifies H&R 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 Rental Units (lodging) Next the dbfs were then geocoded against Tele Atlas Roads, and converted into seven shapefiles with the FGDL Albers HPGN map projection. The seven districts shapefiles were then combined into one statewide layer. Process Date: 20080721 Process Steps for Yellow Pages Lodging Locations (2009): -GeoPlan re-geocoded the 2003 Yellow Pages data against a 2009 roads datasets and spatial duplicates that occurred between it and the DPBR address information were removed. Process Date: 20090415 Process Steps for Combining the DBPR & Yellow Pages Lodging Locations (2009): The GeoPlan Center performed the following steps in order to create the 2009 statewide Lodging Facilities data layer. The two geocoded lodging facilities datasets, see below, were merged into one statewide layer. Lodging Facilities Datasets - GeoCoded Yellow Pages Data Shapefile - GeoCoded DBPR Data Shapefile Finally the following fields were added and populated. LAT_DD LONG_DD USNG_FL_1K SOURCE DESCRIPT UPDATEDAY FGDLAQDATE Process Date: 20090417 Data imported to ArcSDE and exported as a shapefile. Process Date: 20090430

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 ARCH BLDG
Gainesville, FL
32611



www.fgdl.org
data@fgdl.org

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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