FLORIDA GEOGRAPHIC DATA LIBRARY DOCUMENTATION
(VERSION 2004)
FLORIDA LIBRARIES 2004
Geodataset Name: GC_LIBRARY Geodataset Type: SHAPE Geodataset Feature: POINT
GENERAL DESCRIPTION:
This dataset contains 2004 Library Information for the State of Florida. The data contains selected fields denoting the physical address, and contact information for libraries located in Florida.
DATA SOURCE(S): My Florida Website
Super Pages Online
SCALE OF ORIGINAL SOURCE MAPS: N/A
DATE OF AUTOMATION OR SOURCE: Source 2004, Automated 2004
GEODATASET EXTENT: State of Florida
FEATURE ATTRIBUTE TABLES:
Datafile Name: GC_LIBRARY.DBF ITEM NAME WIDTH TYPE PRECISION SHAPE 6 SHAPEPOINT 0 STATUS 8 CHARACTER 0 SCORE 7 DECIMAL 0 SIDE 5 CHARACTER 0 X 12 DECIMAL 5 Y 12 DECIMAL 5 NAME_ 73 CHARACTER 0 STREET 35 CHARACTER 0 ZIP 6 DECIMAL 0 CITY 23 CHARACTER 0 PHONE 28 CHARACTER 0 FAX 17 CHARACTER 0 DESCRIPT 75 CHARACTER 0
FEATURE ATTRIBUTE TABLES CODES AND VALUES:
ITEM ITEM DESCRIPTION
SHAPE Data attribute inherent to the ESRI shapefile format,
which defines the data as a point, polyline, or polygon.
STATUS The status of the geocoded address (whether it was matched
or not). (ESRI DEFINITION)
SCORE The score with which the address was matched to a feature
in the reference data. (ESRI DEFINITION)
SIDE 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). (ESRI DEFINITION)
X The X coordinate of the geocoded feature.
Y The Y coordinate of the geocoded feature.
NAME The name of the library facility.
STREET The physical street address of the library facility.
ZIP The five digit Zip code for the library facility.
CITY The city the library is located in.
PHONE The phone number of the library.
FAX The fax number of the library.
DESCRIPT FGDL added field based on the field NAME.
USER NOTES:
The following dataset was Geocoded against ARC Logistics Route GDT Roads. Address information was obtained via a website or through a spreadsheet gained from an agency, and or the Super Pages Online. The data was reformatted using a text editor in order to create data that could be imported into excel. From this data, dbfs were created that could then be used for Geocoding/Address Matching. 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. A note concerning 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 multicounty or regional level. 1:250000 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 analyses. 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 web pages at: http://www.geoplan.ufl.edu/education.html
FGDL QUALITY ASSURANCE STATUS:
Process Steps for My Florida Website -Downloaded -Converted from text file format to database file format -Geocoded against ARC Logistics Route GDT Roads -Removed Duplicates -Shapefile created using FGDL Albers HPGN map projection (See "Map Projection Parameters" below). Process Steps for Super Pages Library Locations: -Searched for Library addresses in http://www.superpages.com/ -Selected Library Location addresses under following categories: Cultural Attractions, Events, & Facilities Libraries (519) - Public (482) - Management & Research Services (32) - Special Interest (11) - Institutional (7) - Networks (3) - Business & Finance (2) - Reading Rooms (1) - Picture (1) -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. -Removed Duplicates. -The addresses were geocoded against ARC Logistics Route GDT Roads Shapefile created using FGDL Albers HPGN map projection. (See "Map Projection Parameters" below). The two data sets were combined and duplicate records were removed. Total Records = 793
REFERENCES:
www.myflorida.com http://dlis.dos.state.fl.us/bld/research_office /2002LibraryDirectory/Library_directory.html www.SuperPages.com
DATA LINEAGE SUMMARY:
Data was originally released by www.myflorida.com in 2003 and the Super Pages Online in 2004. Data was downloaded by GeoPlan into text file format from www.myflorida.com and SuperPages.com websites. The data was then manipulated using a text editor and converted into spread sheet format that was then saved as a database files. Duplicate points were removed. The dbfs were geocoded against ARC Logistics Route GDT Roads, and converted into a shapefile with the FGDL Albers HPGN map projection. They were combined and duplicate records were removed. (See "Map Projection Parameters" below).
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 SOURCES CONTACT(S):
Name: My Florida Website
Website: http://dlis.dos.state.fl.us/bld/research_office/
2002LibraryDirectory/Library_directory.html
Name: SuperPages.com
Telephone: 1-800-376-0136
Address: Customer Care Center
651 Canyon Drive
Coppell, TX 75019
FGDL CONTACT:
Name: Florida Geographic Data Library
Abbr. Name: FGDL
Address: Florida Geographic Data Library
431 Architecture
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