FLORIDA GEOGRAPHIC DATA LIBRARY DOCUMENTATION

TITLE: DRY CLEANING FACILITIES

Geodataset Name:       GC_DRYCLEANING_MAR09
Geodataset Type:       SHAPEFILE
Geodataset Feature:    Point
Feature Count:         1882
GENERAL DESCRIPTION:
This dataset contains Dry Cleaning Facility location information for the State of Florida. Dry Cleaning Facility locations were geographically derived from a spread sheet that contained physical address locations from the Florida Department of Environmental Protection online. This dataset contains fields denoting the physical location, type, and contact information for dry cleaning facilities located in Florida.
DATA SOURCE(S):                    University of Florida GeoPlan Center
SCALE OF ORIGINAL SOURCE MAPS:     N/A
GEODATASET EXTENT:                 State of Florida
PUBLICATION DATE: 20090310 TIME PERIOD OF CONTENT: 20090310 DOWNLOAD LINK: http://www.fgdl.org/metadataexplorer/explorer.jsp

FEATURE ATTRIBUTE TABLES:

Datafile Name: GC_DRYCLEANING_MAR09.DBF
ITEM NAME WIDTH TYPE
OBJECTID
4 OID
STATUS
1 String
SCORE
2 SmallInteger
Match_type
2 String
SIDE
1 String
Match_addr
103 String
COUNTY
2 SmallInteger
FAC_ID
4 Integer
FAC_NAME
60 String
FAC_ADDR
50 String
FAC_CITY
30 String
FAC_ZIP
6 String
FPHONE
15 String
FAC_STAT
10 String
FAC_TYPE
2 String
TYPEDESC
20 String
OWN_ID
4 Integer
OWN_ROLE
15 String
OWN_NAME
60 String
ADDR1
45 String
ADDR2
45 String
OWN_CITY
30 String
OWN_ST
3 String
OWN_ZIP
10 String
CONTACT
50 String
RPHONE
15 String
STARTDT
36 Date
X_COORD
8 Double
Y_COORD
8 Double
DESCRIPT
20 String
FGDLAQDATE
36 Date
SHAPE
4 Geometry
AUTOID
4 Integer

FEATURE ATTRIBUTE TABLES CODES AND VALUES:

Item
Item Description
OBJECTID Internal feature number.

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.

Match_type A code showing how an address was matched
A = Automatically matched or rematched

M = Manually matched or unmatched using the Match or Unmatch button

PP = Pick by Point. The address was matched to the click point using the Pick Address from Map tool in the Interactive Rematch dialog box with ArcMap

PA = Pick by Address. That means the address was matched to closest address with the Pick Address from Map tool.


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 The address that the matched location actually resides based on the information of the matched candidate.

COUNTY County Code to County Name Conversion, Number to Name. (See Overview Description)

FAC_ID Facility Identification Code

FAC_NAME Facility Name

FAC_ADDR Facility Address

FAC_CITY Facility City

FAC_ZIP Facility Zip Code

FPHONE Facility Phone Number

FAC_STAT Facility status codes. Can be: ABANDONED, CLOSED, CLOSED-NSH, CLOSED-SH, DELETED, DUPLICATE, OPEN, OPEN-NSH, OPEN-SH, UNDETERMINED

FAC_TYPE Facility type codes
1 = Drycleaner

2 = Wholesale supplier


TYPEDESC Full description of type code from FAC_TYPE

OWN_ID Property Owner Identification Code

OWN_ROLE Property Owner Role

OWN_NAME Property Owner Name

ADDR1 Property Owner Address

ADDR2 Property Owner Address 2

OWN_CITY Property Owner City

OWN_ST Property Owner State

OWN_ZIP Property Owner Zipcode

CONTACT Contact Persons Name

RPHONE Contact Persons Phone Number

STARTDT Facility Operation Start Date

X_COORD X Coordinate

Y_COORD Y Coordinate

DESCRIPT FGDL added field based on TYPEDESC

FGDLAQDATE FGDL added field based on date downloaded from source

SHAPE Feature geometry.

AUTOID Unique ID added by GeoPlan

Overview Description:

1 ALACHUA
2 BAKER
3 BAY
4 BRADFORD
5 BREVARD
6 BROWARD
7 CALHOUN
8 CHARLOTTE
9 CITRUS
10 CLAY
11 COLLIER
12 COLUMBIA
13 DADE
14 DESOTO
15 DIXIE
16 DUVAL
17 ESCAMBIA
18 FLAGLER
19 FRANKLIN
20 GADSDEN
21 GILCHRIST
22 GLADES
23 GULF
24 HAMILTON
25 HARDEE
26 HENDRY
27 HERNANDO
28 HIGHLANDS
29 HILLSBOROUGH
30 HOLMES
31 INDIAN RIVER
32 JACKSON
33 JEFFERSON
34 LAFAYETTE
35 LAKE
36 LEE
37 LEON
38 LEVY
39 LIBERTY
40 MADISON
41 MANATEE
42 MARION
43 MARTIN
44 MONROE
45 NASSAU
46 OKALOOSA
47 OKEECHOBEE
48 ORANGE
49 OSCEOLA
50 PALM BEACH
51 PASCO
52 PINELLAS
53 POLK
54 PUTNAM
55 ST. JOHNS
56 ST. LUCIE
57 SANTA ROSA
58 SARASOTA
59 SEMINOLE
60 SUMTER
61 SUWANNEE
62 TAYLOR
63 UNION
64 VOLUSIA
65 WAKULLA
66 WALTON
67 WASHINGTON
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.
This dataset consists of Dry Cleaning Facility oriented addresses from
the Florida Department of Environmental Protection online.

http://www.dep.state.fl.us/waste/quick_topics/database_reports/
[April 1, 2009]
Dry Cleaning Facilities All Current Owners (by County)
Excel spreadsheet of the dry cleaning facilities registered with the Department. 
Information includes facility identification number, site location information, related 
party (owner) information, and facility type and status. Data is taken from the 
Storage Tank & Contamination Monitoring database, the registration repository 
of dry cleaner facility data.

FLORIDA DEPARTMENT OF ENVIRONMENTAL PROTECTION
STORAGE TANK AND CONTAMINATION MONITORING DATABASE CODES LIST
ftp://ftp.dep.state.fl.us/pub/reports/codes/fs_codes.pdf

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

NONE

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:
Florida Department of Environmental Protection Online:
http://www.dep.state.fl.us/

Dry Cleaning Facilities All Current Owners (by County):
http://www.dep.state.fl.us/waste/quick_topics/database_reports/

DATA LINEAGE SUMMARY:
Dry Cleaning Facility locations were obtained online from the Florida 
Department of Environmental Protection on April 1, 2009. When 
downloaded the file was an excel file. The file was then converted
to a dbf. The dbf was joined to our DCSP shapefile and xy coordinates 
were added to the records that could be found. Points were created using 
the add xy data function in ArcMap. The remaining records were geocoded 
against ARC Logistics Route GDT Roads and converted into a shapefile 
with the FGDL Albers HPGN map projection.

The original spreadsheet contained multiple listings for the same address.
These multiple listings contained information such as property owner, 
account owner, tank owner, facility owner, and tank operator. Where 
possible only the point with property owner information was used. Some 
unique points existed only with other owner type information, so those points were 
used. As a result a majority of the points are listed with property owner 
information. There are a number however, with other listings in the 
OWN_ROLE field. If you are looking for other owner role information 
please see the original spreadsheet available from the FDEP:
http://www.dep.state.fl.us/waste/quick_topics/database_reports/

- All fields were upcased
- A DESCRIPT field was added based on TYPEDESC
- The field FGDLAQDATE was added based on date downloaded from source
- Original file name was DryFac.XLS.
Process Date: 20090401

Data imported to ArcSDE and exported as a shapefile. Process Date: 20090417
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:
Florida Department of Environmental Protection
FDEP
2600 Blair Stone Road
Tallahassee, FL
32399-2400
850-245-8705

http://www.dep.state.fl.us/waste/quick_topics/database_reports/

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