LODGING FACILITIES

Metadata also available as

Metadata:


Identification_Information:
Citation:
Citation_Information:
Originator: Yellow Pages Online
Publication_Date: 20030000
Title: LODGING FACILITIES
Geospatial_Data_Presentation_Form: vector digital data
Other_Citation_Details: State of Florida
Online_Linkage: www.YellowPages.com
Larger_Work_Citation:
Citation_Information:
Other_Citation_Details: 2003
Description:
Abstract:
This dataset contains 2003 Hotels, Motels and Lodges Information for the State of Florida. It is a combination of Hotels, Motels, Inns, and Bed and Breakfast Inns addresses from the Yellow Pages online. This dataset contains fields denoting the physical address, and contact information for lodging facilities located in Florida.
Purpose:
The data was created to serve as base information for use in GIS systems for a variety of planning and analytical purposes.
Supplemental_Information: POINT
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20030000
Currentness_Reference: publication date
Status:
Progress: Complete
Maintenance_and_Update_Frequency: As needed
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -87.429040
East_Bounding_Coordinate: -79.872251
North_Bounding_Coordinate: 30.983191
South_Bounding_Coordinate: 24.492815
Keywords:
Theme:
Theme_Keyword_Thesaurus: NONE
Theme_Keyword: Hotels
Theme_Keyword: Lodging
Place:
Place_Keyword: Florida
Access_Constraints: NONE
Use_Constraints:
THE DATA INCLUDED IN FGDL ARE 'AS IS' AND SHOULD NOT BE CONSTRUED AS LEGALLY BINDING. 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 modelling 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>

Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Florida Geographic Data Library (FGDL)
Contact_Address:
Address_Type: mailing address
Address: 431 Architecture PO Box 115706
City: Gainesville
State_or_Province: Florida
Postal_Code: 32611-5706
Contact_Electronic_Mail_Address: Web site: <http://www.fgdl.org>
Contact_Electronic_Mail_Address: Technical Support: <http://www.fgdl.org/fgdlfeed.html>
Contact_Electronic_Mail_Address: For FGDL Software: <http://www.fgdl.org/software.html>
Contact_Electronic_Mail_Address:
FGDL Frequently Asked Questions: <http://www.fgdl.org/fgdlfaq.html>
Contact_Electronic_Mail_Address: FGDL Mailing Lists: <http://www.fgdl.org/fgdl-l.html>
Cross_Reference:
Citation_Information:
Other_Citation_Details:
Yellow Pages website: www.YellowPages.com

Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
Attribute accuracy is relied on the integrity of the attribute information within the originl data layer
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Explanation:
This dataset is a combination of lodging addresses from the Yellow Pages online.
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Explanation:
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.
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Explanation:
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.
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Explanation:
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.
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Explanation:
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.
Logical_Consistency_Report:
This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology
Completeness_Report:
This data is provided 'as is' by GeoPlan and is complete to our knowledge.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report:
This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: Yellow Pages Online
Publication_Date: 20030000
Title: LODGING FACILITIES
Geospatial_Data_Presentation_Form: vector digital data
Online_Linkage: Yellow Pages website: www.YellowPages.com
Source_Scale_Denominator: N/A
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20030000
Source_Currentness_Reference: publication date
Source_Contribution: Spatial Attribute Information
Process_Step:
Process_Description:
Lodging facility locations were obtained from the online Yellow Pages in 2003. GeoPlan downloaded this data in textfile format and converted it to a dbf. The dbf was then geocoded against ARC Logistics Route GDT Roads and converted into a shapefile with the FGDL Albers HPGN map projection.

Process Steps for Yellow Pages Lodging Locations:

-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 textfile, which was then formatted so that it could be imported into Excel and converted to a database file format.

Process Steps for Yellow Pages data:

-The addresses were geocoded against ARC Logistics Route GDT Roads Shapefile created using FGDL Albers HPGN map projection

Source_Used_Citation_Abbreviation: GeoPlan
Process_Date: 2003

Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Vector
Point_and_Vector_Object_Information:
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: Entity point
Point_and_Vector_Object_Count: 4650

Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: Albers Conical Equal Area
Albers_Conical_Equal_Area:
Standard_Parallel: 24.000000
Standard_Parallel: 31.500000
Longitude_of_Central_Meridian: -84.000000
Latitude_of_Projection_Origin: 24.000000
False_Easting: 400000.000000
False_Northing: 0.000000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 0.002048
Ordinate_Resolution: 0.002048
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: D_North_American_1983_HARN
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137.000000
Denominator_of_Flattening_Ratio: 298.257222

Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: GC_HOTELS
Entity_Type_Definition: GC_HOTELS.DBF
Attribute:
Attribute_Label: FID
Attribute_Definition: Internal feature number.
Attribute_Definition_Source: ESRI
Attribute_Domain_Values:
Unrepresentable_Domain:
Sequential unique whole numbers that are automatically generated.
Attribute:
Attribute_Label: SHAPE
Attribute_Definition: Feature geometry.
Attribute_Definition_Source: ESRI
Attribute_Domain_Values:
Unrepresentable_Domain: Coordinates defining the features.
Attribute:
Attribute_Label: STATUS
Attribute_Definition:
ESRI item which denotes the status of the geocoded address (whether it was matched or not).
Attribute_Definition_Source: ESRI
Attribute:
Attribute_Label: SCORE
Attribute_Definition:
ESRI item which denotes the score with which the address was matched to a feature in the reference data.
Attribute_Definition_Source: ESRI
Attribute:
Attribute_Label: SIDE
Attribute_Definition:
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).
Attribute_Definition_Source: ESRI
Attribute:
Attribute_Label: X
Attribute_Definition:
ESRI item which denotes the X coordinate of the geocoded feature.
Attribute_Definition_Source: ESRI
Attribute:
Attribute_Label: Y
Attribute_Definition:
ESRI item which denotes the Y coordinate of the geocoded feature.
Attribute_Definition_Source: ESRI
Attribute:
Attribute_Label: NAME
Attribute_Definition: The name of the lodging facility.
Attribute:
Attribute_Label: STREET
Attribute_Definition: The physical street address of the lodging facility.
Attribute:
Attribute_Label: CITY
Attribute_Definition: The city in which the lodging facility is located.
Attribute:
Attribute_Label: ZIP
Attribute_Definition: The five digit Zip code for the lodging facility.
Attribute:
Attribute_Label: TYPE
Attribute_Definition: The type of lodging facility.
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: H
Enumerated_Domain_Value_Definition: Hotels
Enumerated_Domain:
Enumerated_Domain_Value: M
Enumerated_Domain_Value_Definition: Motels
Enumerated_Domain:
Enumerated_Domain_Value: I
Enumerated_Domain_Value_Definition: Inns
Enumerated_Domain:
Enumerated_Domain_Value: B
Enumerated_Domain_Value_Definition: Bed and Breakfast Inns
Attribute:
Attribute_Label: DESCRIPT
Attribute_Definition: FGDL added field based on NAME
Attribute_Definition_Source: GeoPlan

Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Florida Geographic Data Library (FGDL)
Contact_Address:
Address_Type: mailing address
Address: 431 Architecture PO Box 115706
City: Gainesville
State_or_Province: Florida
Postal_Code: 32611-5706
Country: United States
Contact_Electronic_Mail_Address: Web site: <http://www.fgdl.org>
Contact_Electronic_Mail_Address: Technical Support: <http://www.fgdl.org/fgdlfeed.html>
Contact_Electronic_Mail_Address: For FGDL Software: <http://www.fgdl.org/software.html>
Contact_Electronic_Mail_Address:
FGDL Frequently Asked Questions: <http://www.fgdl.org/fgdlfaq.html>
Contact_Electronic_Mail_Address: Mailing list for FGDL: <http://www.fgdl.org/fgdl-l.html>
Resource_Description: GC_HOTELS, FGDL Version 2005
Distribution_Liability:
THE FGDL DATA AS PROVIDED BY CONTRIBUTING ORGANIZATIONS AND ANY PROGRAMMING SOFTWARE CREATED BY THE UNIVERSITY OF FLORIDA GEOPLAN CENTER (COLLECTIVELY THE 'MATERIALS') ARE COPYRIGHTED BY THE UNIVERSITY OF FLORIDA GEOPLAN CENTER FOR THE FGDL CONTRIBUTING AGENCIES AND ORGANIZATIONS (THE 'DATA PROVIDERS'). DO NOT REPRODUCE, REDISTRIBUTE OR RESELL THE MATERIALS, OR PROVIDE THE MATERIALS FOR FREE TO CUSTOMERS OR CLIENTS, OR PLACE THE MATERIALS FOR DOWNLOAD ON A WEBSITE. ADDITIONALLY, WHEN USING FGDL DATA OR SOFTWARE IN PROJECTS, MAPS, ETC.; YOU AGREE TO ACKNOWLEDGE THE FGDL AS A DATA SOURCE. THE MATERIALS ARE PROVIDED 'AS IS'. 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 MAKES NO WARRANTIES, GUARANTIES OR REPRESENTATIONS AS TO THE TRUTH, ACCURACY OR COMPLETENESS OF THE DATA PROVIDED BY THE FGDL CONTRIBUTING ORGANIZATIONS. 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.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Transfer_Size: 1.386
Technical_Prerequisites:
This data is intended for use with a Geographic Information Systems or Remote Sensing software package.

Metadata_Reference_Information:
Metadata_Date: 20040709
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Yellow Pages
Contact_Address:
Contact_Voice_Telephone: 1 (800) 343-7390
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time
Metadata_Extensions:
Online_Linkage: <http://www.esri.com/metadata/esriprof80.html>
Profile_Name: ESRI Metadata Profile

Generated by mp version 2.7.33 on Fri Jul 09 12:15:29 2004