20240612093710001.0FALSELU_GEN_2023ArcSDE Connection00252784.814000793964.14930052134.503000781582.3725001788.534ProjectedGCS_North_American_1983_HARNLinear Unit: Meter (1.000000)NAD_1983_HARN_Florida_GDL_Albers<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WKT>PROJCS["NAD_1983_HARN_Florida_GDL_Albers",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",400000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-84.0],PARAMETER["Standard_Parallel_1",24.0],PARAMETER["Standard_Parallel_2",31.5],PARAMETER["Latitude_Of_Origin",24.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3087]]</WKT><XOrigin>-19550100</XOrigin><YOrigin>-7526400</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3087</WKID><LatestWKID>3087</LatestWKID></ProjectedCoordinateSystem>202406211626330020240621162633001500000005000FGDCFGDC CSDGM MetadataCBD05CB3-6AA5-4CAE-8AE5-79E58D56EA63datasetKate NorrisUniversity of Florida GeoPlan CenterGeospatial Data Manager131 Architecture Building, PO Box 115706GainesvilleFL32611-5706USdata@fgdl.orgWeb site: https://www.fgdl.orgdata@fgdl.org20240621ArcGIS Metadata1.0788.534Florida Geographic Data Library (FGDL)431 Architecture PO Box 115706Web site: http://www.fgdl.orgGainesvilleFL32611-5706USNoneDOWNLOADABLE DATAhttps://www.fgdl.org/Enterprise Geodatabase Feature ClassGeneralized Land Use Derived From 2023 Florida Parcels2024-05-28T00:00:002023-12-31T00:00:00Florida_Parcels_2023.gdbGeoPlan CenterGainesville, FLUniversity of Florida GeoPlan Centervector digital datavector digital dataState of Florida<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset contains generalized land use derived from 2023 parcel specific land use for the Florida Department of Transportation (FDOT). The original 99 land use classes from the parcel data have been collapsed into 17 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. Please Note: Previous versions of the LU_GEN dataset had a field called LANDUSE15, this field is now referred to as LUGEN_CODE. This layer is an update to the FGDL layer LU_GEN_2022.shp</SPAN></P></DIV></DIV></DIV> This layer is the parent for Generalized Agricultural Land Use (Parcel Derived), which uses the following selection: LU_GEN.DESCRIPT = 'AGRICULTURAL'.This dataset contains generalized land use derived from 2023 parcel specific land use for the Florida Department of Transportation (FDOT). The original 99 land use classes from the parcel data have been collapsed into 17 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. Please Note: Previous versions of the LU_GEN dataset had a field called LANDUSE15, this field is now referred to as LUGEN_CODE. This layer is an update to the FGDL layer LU_GEN_2022.shpFlorida Department of Revenue, County Property Appraisers and the GeoPlan Center.
www.fgdl.orgKate NorrisUniversity of Florida GeoPlan CenterGeospatial Data Manager131 Architecture Building, PO Box 115706GainesvilleFlorida32611-5706USdata@fgdl.orgTechnical Support: https://www.geoplan.ufl.edu/services/Software: https://www.geoplan.ufl.edu/software/Web site: https://www.fgdl.orgdata@fgdl.orgFlorida2023Land useLanduseLandDistrictGeneralizedFDOTUseParcelsISO 19115 Topic CategoryplanningCadastreFloridaLand useLanduseLandDistrictGeneralized2023FDOTplanningCadastreUseParcelsFDORThe 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.Florida Geographic Data Library: https://www.fgdl.org/
Florida Department of Revenue: https://floridarevenue.com/property/Pages/home.aspxpublication date2023-07-28T00:00:002023-12-31T00:00:00Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.3.0.526361-87.637996-79.87253031.04263824.414543VariesThis data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topologyGeoPlan collected and used the available Florida 2023 parcel tax data records
gathered from the State Department of Revenue (DOR) and County Property Appraisers
to create the generalized land use shapefile.
[Original Statewide Parcel Layer: Florida_Parcels_2023.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 17 land use classes.
A single part dissolve was then run based on the 17 land uses.
Multipart to single part and repair geometry 3x.
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 Integrate Command GeoProcessing Function was run with
a tolerance of 1m 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.
A tolerance equal to 1-meter was set in order to allow for a maximum
offset of 1m from the original source data.
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.
Please Note:
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
AGRICULTURE2024-05-28T00:00:00GeoPlanKate NorrisUniversity of Florida GeoPlan CenterGeospatial Data Manager & Senior GIS Specialistwww.fgdl.org131 Architecture Building | PO Box 115706GainesvilleFL32611-5706USdata@fgdl.orgKate NorrisKate NorrisSpatial and Attribute InformationThis 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 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.01527044EPSG6.12(9.2.0)LU_GEN_2023LU_GEN_2023FDORFeature Class1527044OBJECTIDOBJECTIDOID4100Internal feature number.EsriSequential unique whole numbers that are automatically generated.ShapeSHAPEGeometry800Feature geometry.ESRICoordinates defining the features.CNTYNAMECNTYNAMEString15The County Name.GeoPlan00LUGEN_CODELUGEN_CODEInteger4100The 17 generalized land use code numbers. Field was previously called: LANDUSE15GeoPlan0PARCELS WITH NO VALUESGeoPlan1ACREAGE NOT ZONED FOR AGRICULTUREGeoPlan2AGRICULTURALGeoPlan3CENTRALLY ASSESSEDGeoPlan4INDUSTRIALGeoPlan5INSTITUTIONALGeoPlan6MININGGeoPlan7OTHERGeoPlan8PUBLIC/SEMI-PUBLICGeoPlan9ROWGeoPlan10RECREATIONGeoPlan11RESIDENTIALGeoPlan12RETAIL/OFFICEGeoPlan13VACANT NONRESIDENTIALGeoPlan14WATERGeoPlan15VACANT RESIDENTIALGeoPlan16NO DATA AVAILABLEGeoPlanPARCOUNTPARCOUNTInteger4GeoPlanNumber 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.100ACRESACRESDouble8GeoPlanNumber of Acres.388DESCRIPTDESCRIPTString50GeoPlanFGDL added field derived from generalized parcels specific land use class description.00FGDLAQDATEThe date GeoPlan acquired the data from the source.GeoPlanFGDLAQDATEDate800AUTOIDAUTOIDInteger410Unique ID added by GeoPlan. This field is for historic tracking of features.0SHAPE.AREASHAPE.AREADouble00Area of feature in internal units0SHAPE.LENSHAPE.LENDouble00Length of feature in internal units0LUGEN_CODE 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
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