FLORIDA GEOGRAPHIC DATA LIBRARY DOCUMENTATION
VERSION 2004

TITLE: GOVERNMENT BUILDINGS

Geodataset Name:       GC_GOVBUILD
Geodataset Type:       SHAPEFILE
Geodataset Feature:    POINT
GENERAL DESCRIPTION:
This dataset contains 2004 Government Building Information for the State of Florida. It is a combination of General Government, General Government Administration, County Government, Federal Government, Local Government, State Government, Government Administration General, and Motor Vehicle Licensing & Drivers Licenses Building addresses from the Yellow Pages online. Also included is 2004 United States Post Office Facility Information for the State of Florida. It is a set of Post Office addresses from the Yellow Pages online and the Super Pages online.This dataset contains fields denoting the physical address, and contact information for government buildings located in Florida.
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_GOVBUILD.DBF
ITEM NAME WIDTH TYPE N. DECIMAL DEGREES
FID
4 OID ---
Shape
0 Geometry ---
Status
1 String ---
Score
4 Number ---
Side
1 String ---
NAME
100 String ---
ADDRESS
65 String ---
CITY
40 String ---
ZIPCODE
9 Number ---
OPERATING
60 String ---
OP_CLASS
25 String ---
YR_BUILT
4 Number ---
COMMON_USE
4 String ---
USE
50 String ---
DESCRIPT
40 String ---
FLAG
5 String ---
UPDATE_DAY
8 Date ---
AUTOID
6 Number ---

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 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 Building Designation

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

OPERATING The responsible organization for management and operation of a facility (e.g., public, private, quasi-public)

OP_CLASS Classification of the operating entity

YR_BUILT The year a structure was built for determining possible historical significance

COMMON_USE Location of two or more uses in one facility or on common grounds so as to share common facilities

USE Description of co-located use, if applicable

DESCRIPT FGDL added layer based on OP_CLASS

FLAG Type of update the occurred
A = Attribute edit

S = Spatial edit

Both = Both attribute and spatial edit

N = New

D = Delete


UPDATE_DAY The last day the file was updated

AUTOID Internal ID #

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

This dataset is a combination of government addresses from the Yellow 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 website: 
www.yellowpages.com

Super Pages website:
www.superpages.com
DATA LINEAGE SUMMARY:

Government building locations were obtained from the online Yellow
Pages in 2004. 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 Government Locations:

-Searched for government addresses in www.yellowpages.com
-Selected government addresses under following categories:
 General Government (40)
 General Government Administration (141)
 General Government Administration, County Government (4014)
 General Government Administration, Federal Government (561)
 General Government Administration, Local Government (1638)
 General Government Administration, State Government (550)
 Government Administration General (227)
-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 projectio

Process Steps for Super Pages U.S. Post Office Oriented Locations:

-Searched for Post Office addresses in http://www.superpages.com/
-Selected Post Office addresses under following categories:

 Community & Government
 Government Offices
 Federal
  - Post Offices (911)

-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).


Process Steps for Yellow Pages U.S. Post Office Oriented Locations:

-Searched for post office oriented addresses in www.yellowpages.com
-Selected post office oriented addresses under following categories:

 United States Postal Service
 United States Postal Service
  - U S Postal Service (412)

-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 (See "Map
 Projection Parameters" below).

-The two datasets were combined and duplicate records were removed.
 Total Records = 829
Process Date: 20030000

Socio-Cultural Effect data fields and definitions were added. FLAG, UPDATE_DAY, AUTOID, NAME, ADDRESS, CITY, ZIPCODE, OPERATING, OP_CLASS, YR_BUILT, COMMON_USE USE. Process Date: 20041021
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:               Super Pages Online
Address:            651 Canyon Drive
                    Coppell, TX 75019
Phone:              1 (800) 343-7390
Web site:           www.SuperPages.com

Name:               Yellow Pages Online
Web site:           www.YellowPages.com
FGDL CONTACT:
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