FLORIDA GEOGRAPHIC DATA LIBRARY DOCUMENTATION VERSION 2006 TITLE: PETROLEUM TANKS Geodataset Name: GC_PETROLEUMTANKS_JAN07 Geodataset Type: SHAPEFILE Geodataset Feature: Point Feature Count: 51320 |
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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 DATE OF AUTOMATION OF SOURCE: 20070108 GEODATASET EXTENT: State of Florida |
FEATURE ATTRIBUTE TABLES:
Datafile Name: GC_PETROLEUMTANKS_JAN07.DBF
ITEM NAME | WIDTH | TYPE | N. DECIMAL DEGREES |
STATUS
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19 | Float | 11 |
OBJECTID
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4 | OID | --- |
SCORE
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9 | Number | --- |
SIDE
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8 | Number | --- |
X
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62 | String | --- |
Y
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51 | String | --- |
COUNTY
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29 | String | --- |
FAC_ID
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8 | String | --- |
FAC_NAME
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20 | String | --- |
FAC_ADDR
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13 | String | --- |
FAC_CITY
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10 | String | --- |
FAC_ZIP
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32 | String | --- |
FPHONE
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8 | String | --- |
FAC_STAT
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7 | String | --- |
FAC_TYPE
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7 | String | --- |
TYPEDESC
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8 | String | --- |
DEP_CO
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9 | String | --- |
LATDD
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9 | String | --- |
LATMM
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9 | String | --- |
LATSS
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9 | String | --- |
LONGDD
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19 | Number | 8 |
LONGMM
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19 | Number | 8 |
LONGSS
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65 | String | --- |
LL_METH
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8 | Date | --- |
LATITUDE
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19 | Number | 8 |
LONGITUDE
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19 | Number | 8 |
DESCRIPT
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65 | String | --- |
FGDLAQDATE
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8 | Date | --- |
SHAPE
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4 | Geometry | --- |
AUTOID
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4 | Integer | --- |
FEATURE ATTRIBUTE TABLES CODES AND VALUES:
Item | Item Description | |
STATUS |
ESRI item which denotes the status of the geocoded address (whether it was matched or not). |
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OBJECTID |
Internal feature number. |
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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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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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X |
ESRI item which denotes the X coordinate of the geocoded feature. |
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Y |
ESRI item which denotes the Y coordinate of the geocoded feature. |
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COUNTY |
County Code to County Name Conversion, Number to Name.
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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 |
Phone number |
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FAC_STAT |
Facility status codes
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FAC_TYPE |
Facility type codes
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TYPEDESC |
The Description of the type of facility that has the tank.
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DEP_CO |
This is a specific DEP CODE (see DEP for more info).
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LATDD |
Latitude Decimal Degrees |
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LATMM |
Latitude Minutes |
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LATSS |
Latitude Seconds |
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LONGDD |
Longitude Decimal Degrees |
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LONGMM |
Longitude Minutes |
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LONGSS |
Longitude Seconds |
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LL_METH |
This attribute contains information on how the tank locations where obtained.
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LATITUDE |
Latitude |
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LONGITUDE |
Longitude |
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DESCRIPT |
FGDL added field based on the field FAC_NAME. |
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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 |
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 is a combination of petroleum tanks oriented addresses from the Florida Department of Environmental Protection online. Tank Facility - All Locations & Lat/Long Information (by County) [January 8, 2007] Excel spreadsheet of the facilities registered with the Department and tracked for active storage tanks, storage tank history, or petroleum cleanup activity. Information includes facility identification number, site location information with latitude/longitude, and facility type and status. Data is taken from the Storage Tank & Contamination Monitoring database. 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 |
THE DATA INCLUDED IN FGDL ARE 'AS IS' AND SHOULD NOT BE CONSTRUED AS LEGALLY BINDING. 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 website: http://www.dep.state.fl.us/waste/quick_topics /database_reports/pages/stcm/storagetank/stcm_allll.htm http://www.dep.state.fl.us/waste/quick_topic /database_reports/pages/stcm/petro_reports.htm http://www.dep.state.fl.us/waste/quick_topics /database_reports/pages/stcm/storagetank_reports.htm http://www.dep.state.fl.us/waste/quick_topics /database_reports/pages/stcm/stcm_reports.htm http://www.dep.state.fl.us/waste/quick_topics /database_reports/default.htm |
Petroleum Tanks locations were obtained online from the Florida Department of Environmental Protection in January of 2007. GeoPlan downloaded this data in excel file format and converted it to a dbf. The dbf was then either mapped based on the tanks latitude and longitude coordinates if available, or if this information was incomplete then the data was geocoded against ARC Logistics Route GDT Roads and converted into a shapefile with the FGDL Albers HPGN map projection. Process Steps for Florida Department of Environmental Protection -Petroleum Tanks Locations: -Searched for petroleum tanks locations at http://www.dep.state.fl.us/waste/quick_topics/database_reports/ pages/stcm/storagetank/stcm_allll.htm -Merged all county spreadsheets in to one excel spreadsheet file. the .xls file was then formatted so that it could be converted to a database file format. -For records containing Full Latitude and Longitude coordinates these records were mapped spatially based on there x and y location in ArcMap. -Remaining records were joined to the PCT shapefile on FAC_ID so as to import their latitude and longitude. All other locations where mapped through geocoding. -The addresses were geocoded against ARC Logistics Route GDT Roads Number of points with Lat/Long: 45444 (565 points were deleted as they fell outside of Florida or in a body of water). Number of points with Lat/Long from the PCT shapefile: 1848 (107 points were deleted that were located in the Gulf of Mexico. Geocoded points: 7389. Approximately 3000 of these points could not be geocoded due to missing address information. Process Date: 20070207 |
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