GENERALIZED LAND USE DERIVED FROM 2015 PARCELS - FLORIDA DOT DISTRICT 6

Metadata also available as

Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: University of Florida GeoPlan Center
Publication_Date: 20150918
Title:
GENERALIZED LAND USE DERIVED FROM 2015 PARCELS - FLORIDA DOT DISTRICT 6
Edition: Statewide_2015V2_20150918.gdb
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Gainesville, FL
Publisher: Universtiy of Florida GeoPlan Center
Other_Citation_Details: FDOT District 6
Online_Linkage: <http://www.fgdl.org>
Larger_Work_Citation:
Citation_Information:
Other_Citation_Details: Source - 2015 Automated - 2016
Description:
Abstract:
This dataset contains generalized land use derived from parcel specific land use for Florida Department of Transportation (FDOT) District 6. The original 99 land use classes from the parcel data have been collapsed into 15 generalized classes. Please Note: As of 2015 there has been a change to the original FDOR 99 Land Use Values. Value 009 is now 'Residential Common Elements / Areas' this land use value maintains the same Generalized Land Use code 11 - RESIDENTIAL. Value 080 is now 'Vacant Governmental' this land use value does not maintain the same Generalized Land Use code 7 - OTHER, instead it is now classified as Generalized Land Use Code 8 - PUBLIC/SEMI-PUBLIC. This layer is an update to the FGDL layer D6_LU_GEN_2014.shp
Purpose:
The data was created to serve as base information for use in GIS systems for a variety of planning and analytical purposes.
Supplemental_Information:
Florida Department of Transportation Districts
FDOT District 1 SOUTHWEST FLORIDA Major cities: Arcadia, Bartow, Bradenton, Fort Myers, Lakeland, Naples, North Port, Sarasota, Sebring, and Venice. Counties: Charlotte, Collier, De Soto, Glades, Hardee, Hendry, Highlands, Lee, Manatee, Okeechobee, Polk, and Sarasota.
FDOT District 2 NORTHEAST FLORIDA Major cities: Gainesville, Jacksonville, Lake City, Palatka, Perry, Saint Augustine, and Starke. Counties: Alachua, Baker, Bradford, Clay, Columbia, Dixie, Duval, Gilchrist, Hamilton, Lafayette, Levy, Madison, Nassau, Putnam, St. Johns, Suwannee, Taylor, and Union.
FDOT District 3 NORTHWEST FLORIDA Major cities: Apalachicola, Chipley, Crestview, Fort Walton Beach, Marianna, Panama City, Pensacola, Quincy, and Tallahassee. Counties: Bay, Calhoun, Escambia, Franklin, Gadsden, Gulf, Holmes, Jackson, Jefferson, Leon, Liberty, Okaloosa, Santa Rosa, Wakulla, Walton, and Washington.
FDOT District 4 SOUTHEAST FLORIDA Major cities: Belle Glade, Boca Raton, Fort Lauderdale, Fort Pierce, Hollywood, Pompano Beach, Stuart, Vero Beach, and West Palm Beach. Counties: Broward, Indian River, Martin, Palm Beach, and St. Lucie.
FDOT District 5 CENTRAL FLORIDA Major cities: Daytona Beach, DeLand, Melbourne, Merritt Island, Ocala, Orlando, and Titusville. Counties: Brevard, Flagler, Lake, Marion, Orange, Osceola, Seminole, Sumter, and Volusia.
FDOT District 6 SOUTH FLORIDA Major cities: Coral Gables, Hialeah, Key West, and Miami. Counties: Miami-Dade and Monroe.
FDOT District 7 WEST CENTRAL FLORIDA Major cities: Brooksville, Clearwater, Dunedin, Largo, New Port Richey, St. Petersburg, and Tampa. Counties: Citrus, Hernando, Hillsborough, Pasco, and Pinellas.
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20150820
Currentness_Reference: publication date
Status:
Progress: Complete
Maintenance_and_Update_Frequency: As needed
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -87.429040
East_Bounding_Coordinate: -79.872251
North_Bounding_Coordinate: 30.983191
South_Bounding_Coordinate: 24.492815
Keywords:
Theme:
Theme_Keyword_Thesaurus: NONE
Theme_Keyword: Parcels
Theme_Keyword: FDOT
Theme_Keyword: District
Theme_Keyword: Land
Theme_Keyword: Use
Theme_Keyword: Generalized
Theme_Keyword: Land use
Theme_Keyword: Landuse
Theme:
Theme_Keyword_Thesaurus: NONE
Theme_Keyword: planningCadastre
Place:
Place_Keyword_Thesaurus: NONE
Place_Keyword: Florida
Place_Keyword: FDOT District 6
Temporal:
Temporal_Keyword_Thesaurus: NONE
Temporal_Keyword: 2015
Access_Constraints: NONE
Use_Constraints: NONE
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Universtiy of Florida GeoPlan Center
Contact_Address:
Address_Type: mailing address
Address: 431 Architecture PO Box 115706
City: Gainesville
State_or_Province: Florida
Postal_Code: 32611-5706
Country: USA
Contact_Electronic_Mail_Address: data@fgdl.org
Contact_Electronic_Mail_Address: Technical Support: <http://www.fgdl.org/fgdlfeed.html>
Contact_Electronic_Mail_Address: For FGDL Software: <http://www.fgdl.org/software.html>
Contact_Electronic_Mail_Address:
FGDL Frequently Asked Questions: <http://www.fgdl.org/fgdlfaq.html>
Contact_Electronic_Mail_Address: FGDL Mailing Lists: <http://www.fgdl.org/fgdl-l.html>
Contact_Instructions: Web site: <http://www.fgdl.org>
Data_Set_Credit:
Florida Department of Revenue, County Property Appraisers, Water Management Districts, Panda Consulting, and GeoPlan Center.
Native_Data_Set_Environment:
Microsoft Windows Vista Version 6.1 (Build 7601) Service Pack 1; ESRI ArcCatalog 9.3.1.4000
Cross_Reference:
Citation_Information:
Other_Citation_Details:
Florida Geographic Data Library: <http://www.fgdl.org/>
For Department of Revenue info: <http://dor.myflorida.com/property/Pages/default.aspx>
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
GeoPlan relied on the integrity of the attribute information within the original data.
Logical_Consistency_Report:
This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology
Completeness_Report:
This data is provided 'as is' by GeoPlan and is complete to our knowledge.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report:
This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: Florida Department of Revenue and County Property Appraisers
Publication_Date: 20150918
Title: COUNTY PARCEL DATA
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Brooksville, FL
Publisher: Southwest Florida Water Management District
Other_Citation_Details: County Specific
Online_Linkage: <http://dor.myflorida.com/property/Pages/default.aspx>
Source_Scale_Denominator: Varies
Type_of_Source_Media:
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20150820
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: GeoPlan
Source_Contribution: Spatial and Attribute Information
Process_Step:
Process_Description:
GeoPlan used the available Florida Department of Transportation (FDOT) District 6 2015 parcel tax data records gathered from the State Department of Revenue (DOR) and County Property Appraisers by Panda Consulting to create the generalized land use shapefile. [Original Statewide Parcel Layer: Statewide_2015V2_20150918.gdb]
The generalized land use shapefile was created by taking the existing parcel data's 99 available land uses [found in the parcel data's DORUC field] and generalized them down to 15 land use classes.
A single part dissolve was then run based on the 15 land uses.
A multi delete script was then run to remove any unwanted fields and add an ACRES field and DESCRIPT field.
The DESCRIPT field was calculated based on the Generalized Land Use Class Description.
Next the Simplify Polygon GeoProcessing Function was used with the Point Remove Algorithm to remove redundant points, such as over-digitized vertices found throughout the layer, this function was also used to compress the file size of the layer via a relatively low degree of simplification. Then during this simplification process a tolerance equal to 1-meter was set in order to allow for a maximum offset of 1m from the original source data. Because the original file size of the layer prohibited the use of the 'Resolve Errors' option, a 'No Check' option was used during the process; because of this the algorithm may have introduced small topological errors to the simplified results. To correct for topological errors created during this process the Repair Geometry Function was run three times.
Next the Integrate Command GeoProcessing Function was run with a tolerance of 1m. To correct for topological errors created during this process the Repair Geometry Function was then run three times.
The PARCOUNT field was populated by using a spatial join with the Label Point layer made from the Parcel centroids. The Label Point layer had been dissolved on NPARNO in order to get one count per parcel id, please note NPARNO = '' and other no value fields were exploded out to their single part format using the editor before the spatial join was performed.
The Acres field was recalculated and features that were < 0.001 were Eliminated (GeoProcessing Command) by border. To correct for topological errors created during this process the Repair Geometry Function was then run three times. After this was completed the ACRES field was repopulated once more using the Calculated Geometry function.
DESCRIPT DORUC DESCRIPT_1 LU_15 VACANT RESIDENTIAL 0 VACANT RESIDENTIAL 15 SINGLE FAMILY 1 RESIDENTIAL 11 MOBILE HOMES 2 RESIDENTIAL 11 MULTI-FAMILY 3 RESIDENTIAL 11 CONDOMINIA 4 RESIDENTIAL 11 COOPERATIVES 5 RESIDENTIAL 11 RETIREMENT HOMES 6 RESIDENTIAL 11 BOARDING HOMES (INSTITUTIONAL) 7 RESIDENTIAL 11 MULTI-FAMILY LESS THAN 10 UNITS 8 RESIDENTIAL 11 RESIDENTIAL COMMON ELEMENTS / AREAS 9 RESIDENTIAL 11 VACANT COMMERCIAL 10 VACANT NONRESIDENTIAL 13 STORES ONE-STORY 11 RETAIL/OFFICE 12 MIXED USE, I.E., STORE AND OFFICE 12 RETAIL/OFFICE 12 DEPARTMENT STORES 13 RETAIL/OFFICE 12 SUPERMARKET 14 RETAIL/OFFICE 12 REGIONAL SHOPPING MALLS 15 RETAIL/OFFICE 12 COMMUNITY SHOPPING CENTERS 16 RETAIL/OFFICE 12 ONE-STORY NON-PROFESSIONAL OFFICES 17 RETAIL/OFFICE 12 MULTI-STORY NON-PROFESSIONAL OFFICES 18 RETAIL/OFFICE 12 PROFESSIONAL SERVICE BUILDINGS 19 RETAIL/OFFICE 12 AIRPORTS, MARINAS, BUS TERMINALS, 20 RETAIL/OFFICE 12 AND PIERS RESTAURANTS, CAFETERIAS 21 RETAIL/OFFICE 12 DRIVE-IN RESTAURANTS 22 RETAIL/OFFICE 12 FINANCIAL INSTITUTIONS 23 RETAIL/OFFICE 12 INSURANCE COMPANY OFFICES 24 RETAIL/OFFICE 12 REPAIR SERVICE SHOPS 25 RETAIL/OFFICE 12 SERVICE STATIONS 26 RETAIL/OFFICE 12 AUTOMOTIVE REPAIR, SERVICE, AND SALES 27 RETAIL/OFFICE 12 PARKING LOTS, MOBILE HOME SALES 28 RETAIL/OFFICE 12 "WHOLESALE, MANUFACTURING, AND PRODUCE 29 RETAIL/OFFICE 12 OUTLETS" FLORIST, GREENHOUSES 30 RETAIL/OFFICE 12 DRIVE-IN THEATERS, OPEN STADIUMS 31 RETAIL/OFFICE 12 ENCLOSED THEATERS, AUDITORIUMS 32 RETAIL/OFFICE 12 NIGHT CLUBS, BARS, AND COCKTAIL LOUNGES 33 RETAIL/OFFICE 12 BOWLING ALLEYS, SKATING RINGS, ENCLOSED 34 RETAIL/OFFICE 12 ARENAS TOURIST ATTRACTIONS 35 RETAIL/OFFICE 12 CAMPS 36 RETAIL/OFFICE 12 RACE HORSE, AUTO, AND DOG TRACKS 37 RETAIL/OFFICE 12 GOLF COURSES 38 RECREATION 10 HOTELS, MOTELS 39 RETAIL/OFFICE 12 VACANT INDUSTRIAL 40 VACANT NONRESIDENTIAL 13 LIGHT MANUFACTURING 41 INDUSTRIAL 4 HEAVY MANUFACTURING 42 INDUSTRIAL 4 LUMBER YARDS, SAWMILLS, PLANNING MILLS, 43 INDUSTRIAL 4 FRUIT, VEGETABLES, AND MEAT PACKING 44 INDUSTRIAL 4 CANNERIES, DISTILLERIES, AND WINERIES 45 INDUSTRIAL 4 OTHER FOOD PROCESSING 46 INDUSTRIAL 4 MINERAL PROCESSING 47 INDUSTRIAL 4 WAREHOUSES, AND DISTRIBUTION CENTERS 48 INDUSTRIAL 4 INDUSTRIAL STORAGE 49 INDUSTRIAL 4 (FUEL, EQUIP, AND MATERIAL) IMPROVED AGRICULTURE 50 AGRICULTURAL 2 CROPLAND SOIL CLASS 1 51 AGRICULTURAL 2 CROPLAND SOIL CLASS 2 52 AGRICULTURAL 2 CROPLAND SOIL CLASS 3 53 AGRICULTURAL 2 TIMBERLAND 54 AGRICULTURAL 2 TIMBERLAND 55 AGRICULTURAL 2 TIMBERLAND 56 AGRICULTURAL 2 TIMBERLAND 57 AGRICULTURAL 2 TIMBERLAND 58 AGRICULTURAL 2 TIMBERLAND 59 AGRICULTURAL 2 GRAZING LAND SOIL CLASS 1 60 AGRICULTURAL 2 GRAZING LAND SOIL CLASS 2 61 AGRICULTURAL 2 GRAZING LAND SOIL CLASS 3 62 AGRICULTURAL 2 GRAZING LAND SOIL CLASS 4 63 AGRICULTURAL 2 GRAZING LAND SOIL CLASS 5 64 AGRICULTURAL 2 GRAZING LAND SOIL CLASS 6 65 AGRICULTURAL 2 ORCHARD, GROVES, CITRUS 66 AGRICULTURAL 2 POULTRY, BEES, TROPICAL FISH, 67 AGRICULTURAL 2 RABBITS, ETC DAIRIES, FEED LOTS 68 AGRICULTURAL 2 ORNAMENTALS, MISC. AGRICULTURE 69 AGRICULTURAL 2 VACANT INSTITUTIONAL 70 VACANT NONRESIDENTIAL 13 CHURCHES 71 INSTITUTIONAL 5 PRIVATE SCHOOLS 72 INSTITUTIONAL 5 PRIVATE HOSPITALS 73 INSTITUTIONAL 5 HOMES FOR AGED 74 INSTITUTIONAL 5 ORPHANAGES 75 INSTITUTIONAL 5 MORTUARIES, CEMETERIES 76 INSTITUTIONAL 5 CLUBS, LODGES, AND UNION HALLS 77 INSTITUTIONAL 5 SANITARIUMS, CONVALESCENT, 78 INSTITUTIONAL 5 AND BEST HOMES CULTURAL ORGANIZATIONS 79 INSTITUTIONAL 5 VACANT GOVERNMENTAL 80 PUBLIC/ SEMI-PUBLIC 8 MILITARY 81 INSTITUTIONAL 5 FOREST, PARK, AND RECREATIONAL AREAS 82 RECREATION 10 PUBLIC SCHOOLS 83 PUBLIC/ 8 SEMI-PUBLIC COLLEGES 84 INSTITUTIONAL 5 PUBLIC HOSPITALS 85 PUBLIC/ 8 SEMI-PUBLIC OTHER COUNTIES 86 PUBLIC/ 8 SEMI-PUBLIC OTHER STATE 87 PUBLIC/ 8 SEMI-PUBLIC OTHER FEDERAL 88 PUBLIC/ 8 SEMI-PUBLIC OTHER MUNICIPAL 89 PUBLIC/ 8 SEMI-PUBLIC GOV. OWNED LEASED BY NON-GOV. LESSEE 90 PUBLIC/ 8 SEMI-PUBLIC UTILITIES 91 PUBLIC/ 8 SEMI-PUBLIC MINING, PETROLEUM, AND GAS LANDS 92 MINING 6 SUBSURFACE RIGHTS 93 MINING 6 RIGHTS-OF-WAY STREETS, 94 ROW 9 ROADS, AND CANALS RIVERS, LAKES, AND SUBMERGED LANDS 95 WATER 14 SEWAGE DISPOSAL, BORROW PITS, 96 OTHER 7 AND WETLANDS OUTDOOR RECREATIONAL 97 RECREATION 10 CENTRALLY ASSESSED 98 CENTRALLY 3 ASSESSED ACREAGE NOT ZONED FOR AGRICULTURAL 99 ACREAGE NOT 1 ZONED FOR AGRICULTURE
Source_Used_Citation_Abbreviation: GeoPlan
Process_Date: 20160420
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Vector
Point_and_Vector_Object_Information:
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: G-polygon
Point_and_Vector_Object_Count: 90647
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: Albers Conical Equal Area
Albers_Conical_Equal_Area:
Standard_Parallel: 24.000000
Standard_Parallel: 31.500000
Longitude_of_Central_Meridian: -84.000000
Latitude_of_Projection_Origin: 24.000000
False_Easting: 400000.000000
False_Northing: 0.000000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 0.002048
Ordinate_Resolution: 0.002048
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: D_North_American_1983_HARN
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137.000000
Denominator_of_Flattening_Ratio: 298.257222
Vertical_Coordinate_System_Definition:
Altitude_System_Definition:
Altitude_Resolution: 1.000000
Altitude_Encoding_Method:
Explicit elevation coordinate included with horizontal coordinates
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: D6_LU_GEN_2015
Entity_Type_Definition: D6_LU_GEN_2015.DBF
Entity_Type_Definition_Source: FDOR
Attribute:
Attribute_Label: OBJECTID
Attribute_Definition: Internal feature number.
Attribute_Definition_Source: ESRI
Attribute_Domain_Values:
Unrepresentable_Domain:
Sequential unique whole numbers that are automatically generated.
Attribute:
Attribute_Label: Shape
Attribute_Definition: Feature geometry.
Attribute_Definition_Source: ESRI
Attribute_Domain_Values:
Unrepresentable_Domain: Coordinates defining the features.
Attribute:
Attribute_Label: LANDUSE15_
Attribute_Definition: The 15 generalized land use code numbers.
Attribute_Definition_Source: GeoPlan
Attribute:
Attribute_Label: PARCOUNT
Attribute_Definition:
Number of parcels. Please Note: Some Multi-part Parcels have been split during the Single Part Dissolve process, for those polygons there will be only one record for the actual parcel count, which will result in a few of these features having a PARCOUNT = 0. One Example would be a Multi-part Parcel which contains two separate polygons split by a road, there is only one centroid created for the count field, so one of the halves will have a PARCOUNT = 1 while the other will have a PARCOUNT = 0. Since there isn't that many Multi-part parcels this should affect less than 3% of the records.
Attribute_Definition_Source: GeoPlan
Attribute:
Attribute_Label: ACRES
Attribute_Definition: Number of Acres.
Attribute_Definition_Source: GeoPlan
Attribute:
Attribute_Label: DESCRIPT
Attribute_Definition:
FGDL added field derived from generalized parcels specific land use class description.
Attribute_Definition_Source: GeoPlan
Attribute:
Attribute_Label: FGDLAQDATE
Attribute_Definition: The date FGDL acquired the data from the Source.
Attribute_Definition_Source: GeoPlan
Attribute:
Attribute_Label: AUTOID
Attribute_Definition: Unique ID added by GeoPlan
Attribute_Definition_Source: GeoPlan
Attribute:
Attribute_Label: SHAPE.AREA
Attribute_Definition: Area in meters
Attribute_Definition_Source: GeoPlan
Attribute:
Attribute_Label: SHAPE.LEN
Attribute_Definition: Perimeter in meters
Attribute_Definition_Source: GeoPlan
Overview_Description:
Entity_and_Attribute_Overview:
LANDUSE15_ DESCRIPT 0 PARCELS WITH NO VALUES 1 ACREAGE NOT ZONED FOR AGRICULTURE 2 AGRICULTURAL 3 CENTRALLY ASSESSED 4 INDUSTRIAL 5 INSTITUTIONAL 6 MINING 7 OTHER 8 PUBLIC/SEMI-PUBLIC 9 ROW 10 RECREATION 11 RESIDENTIAL 12 RETAIL/OFFICE 13 VACANT NONRESIDENTIAL 14 WATER 15 VACANT RESIDENTIAL 16 NO DATA AVAILABLE
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Florida Geographic Data Library (FGDL)
Contact_Person:
Contact_Position:
Contact_Address:
Address_Type: mailing address
Address: 431 Architecture PO Box 115706
City: Gainesville
State_or_Province: Florida
Postal_Code: 32611-5706
Country: United States
Contact_Voice_Telephone:
Contact_TDD/TTY_Telephone:
Contact_Facsimile_Telephone:
Contact_Electronic_Mail_Address: Web site: <http://www.fgdl.org>
Contact_Electronic_Mail_Address: Technical Support: <http://www.fgdl.org/fgdlfeed.html>
Contact_Electronic_Mail_Address: For FGDL Software: <http://www.fgdl.org/software.html>
Contact_Electronic_Mail_Address:
FGDL Frequently Asked Questions: <http://www.fgdl.org/fgdlfaq.html>
Contact_Electronic_Mail_Address: Mailing list for FGDL: <http://www.fgdl.org/fgdl-l.html>
Hours_of_Service:
Contact_Instructions:
Resource_Description: DOWNLOADABLE DATA
Distribution_Liability:
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>
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Transfer_Size: 71.492
Technical_Prerequisites:
This data is intended for use with a Geographic Information Systems or Remote Sensing software package.
Metadata_Reference_Information:
Metadata_Date: 20160107
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: University of Florida GeoPlan Center
Contact_Person: Kate Norris
Contact_Address:
Address_Type: mailing address
Address: 431 Architecture Building PO Box 115706
City: Gainesville
State_or_Province: FL
Postal_Code: 32611-5706
Country: USA
Contact_Electronic_Mail_Address: data@fgdl.org
Contact_Instructions: www.fgdl.org
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time
Metadata_Extensions:
Online_Linkage: <http://www.esri.com/metadata/esriprof80.html>
Profile_Name: ESRI Metadata Profile
Generated by mp version 2.9.6 on Fri May 27 14:58:07 2016