FLORIDA GEOGRAPHIC DATA LIBRARY DOCUMENTATION TITLE: DRY CLEANING FACILITIES Geodataset Name: GC_DRYCLEANING_MAR09 Geodataset Type: SHAPEFILE Geodataset Feature: Point Feature Count: 1882 |
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GENERAL DESCRIPTION:
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DATA SOURCE(S): University of Florida GeoPlan Center SCALE OF ORIGINAL SOURCE MAPS: N/A GEODATASET EXTENT: State of Florida |
FEATURE ATTRIBUTE TABLES:
Datafile Name: GC_DRYCLEANING_MAR09.DBF
ITEM NAME | WIDTH | TYPE |
OBJECTID
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4 | OID |
STATUS
|
1 | String |
SCORE
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2 | SmallInteger |
Match_type
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2 | String |
SIDE
|
1 | String |
Match_addr
|
103 | String |
COUNTY
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2 | SmallInteger |
FAC_ID
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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
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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
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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. |
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STATUS |
ESRI item which denotes the status of the geocoded address (whether it was matched or not). |
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SCORE |
ESRI item which denotes the score with which the address was matched to a feature in the reference data. |
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Match_type |
A code showing how an address was matched
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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). |
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Match_addr |
The address that the matched location actually resides based on the information of the matched candidate. |
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COUNTY |
County Code to County Name Conversion, Number to Name. (See Overview Description) |
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FAC_ID |
Facility Identification Code |
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FAC_NAME |
Facility Name |
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FAC_ADDR |
Facility Address |
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FAC_CITY |
Facility City |
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FAC_ZIP |
Facility Zip Code |
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FPHONE |
Facility Phone Number |
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FAC_STAT |
Facility status codes. Can be: ABANDONED, CLOSED, CLOSED-NSH, CLOSED-SH, DELETED, DUPLICATE, OPEN, OPEN-NSH, OPEN-SH, UNDETERMINED |
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FAC_TYPE |
Facility type codes
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TYPEDESC |
Full description of type code from FAC_TYPE |
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OWN_ID |
Property Owner Identification Code |
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OWN_ROLE |
Property Owner Role |
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OWN_NAME |
Property Owner Name |
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ADDR1 |
Property Owner Address |
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ADDR2 |
Property Owner Address 2 |
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OWN_CITY |
Property Owner City |
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OWN_ST |
Property Owner State |
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OWN_ZIP |
Property Owner Zipcode |
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CONTACT |
Contact Persons Name |
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RPHONE |
Contact Persons Phone Number |
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STARTDT |
Facility Operation Start Date |
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X_COORD |
X Coordinate |
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Y_COORD |
Y Coordinate |
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DESCRIPT |
FGDL added field based on TYPEDESC |
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FGDLAQDATE |
FGDL added field based on date downloaded from source |
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SHAPE |
Feature geometry. |
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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 |
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 |
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/ |
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 |
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 |
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