TITLE: AMERICAN RED CROSS FACILITIES

Geodataset Name:       GC_REDCROSS
Geodataset Type:       SHAPEFILE
Geodataset Feature:    POINT

This dataset contains 2004 Red Cross facility location information for
the State of Florida. This dataset contains fields denoting the 
physical address, and contact information for Red Cross facilities
based on data taken from the Yellow Pages and Super Pages Online.

DATA SOURCE(S):                    Yellow Pages Online, Super Pages Online
SCALE OF ORIGINAL SOURCE MAPS:     N/A
DATE OF AUTOMATION OF SOURCE:      2004
GEODATASET EXTENT:                 State of Florida

FEATURE ATTRIBUTE TABLES:

Datafile Name: GC_REDCROSS.DBF

FEATURE ATTRIBUTE TABLES CODES AND VALUES:

Item	Item Description
FID	Internal feature number.
Shape	Feature geometry.
STATUS	ESRI item which denotes the status of the geocoded address whether it was 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).
NAME	The name of the American Red Cross facility.
ADDRESS	The physical street address of the American Red Cross facility.
CITY	The city in which the American Red Cross facility is located.
ZIP	The five digit Zip code for the American Red Cross facility.
PHONE	The phone number of the American Red Cross facility.
DESCRIPT	FGDL added item based on NAME.

USER NOTES:

GeoPlan relied on the integrity of the attribute information within the original data.

This dataset is a compilation of Red Cross oriented addresses from the Yellow Pages and the Super Pages online. 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 datasetsare 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. 1:250000 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 sectionand 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

REFERENCES:

Yellow Pages - www.yellowpages.com Super Pages - www.superpages.com

DATA LINEAGE SUMMARY:

Process Steps for Yellow Pages American Red Cross Oriented Locations: -Searched for American Red Cross oriented addresses in www.yellowpages.com -Selected American Red Cross oriented addresses under following name: American Red Cross -(78) Process Steps for Super Pages American Red Cross Oriented Locations: -Searched for American Red Cross oriented addresses in www.superpages.com -Selected American Red Cross oriented addresses under following name: American Red Cross -(110) -All addresses from the 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. -The addresses were geocoded against ARC Logistics Route GDT Roads Shapefile created using FGDL Albers HPGN map projection (See "Map Projection Parameters" below). -Duplicate REcords were removed using an ArcView Script. -Added DESCRIPT field based on NAME. There are 72 total records Process Date: 20040000

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:

Yellow Pages/Super Pages

Super Pages, 651 Canyon Drive
Coppell, TX
75019
1 (800) 343-7390


www.yellowpages.com

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