UF GeoPlan Center20220427Florida Level 2 Future Land Use 2020 - April 20222020vector digital dataState of FloridaThis dataset contains generalized future land use information for the State of Florida. Future land use designates intended future land use types as defined by local government. Data used to create this statewide layer were obtained from various local government data sources in Florida in 2020. Detailed local future land use categories from the original source data were generalized to create statewide future land use categories based on an intermediate level of aggregation (Level 2). This layer was updated in April 2022 to improve the aggregation of future land use features from the 2020 source data. For a full list of data sources used, please see the accompanying table: https://www.geoplan.ufl.edu/agol/pdf/Future_Land_Use/FLUDATASOURCE_2020.xlsxThe data was created to serve as base information for use in GIS systems for a variety of planning and analytical purposes.20200730publication dateAs needed-87.637996-79.87253031.04263824.480319ISO 19115 Topic CategoriesplanningCadastreNoneplanningCadastreNoneFloridaNoneNone. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata.University of Florida GeoPlan CenterErik Finlaymailing and physical131 Architecture Building, PO Box 115706GainesvilleFL32611-5706USwww.fgdl.orgdata@fgdl.orgUniversity of Florida GeoPlan Center Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362GeoPlan relied on the integrity of the attribute information within the original data.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.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.onLineSpatial and Attribute InformationGeoPlan Florida Level 2 Future Land Use Process Steps 2020:
STEP 1: Create a multipart generalized L2 future land use layer (FLU_L2_DSV_2020):
The layer was created by dissolving on a combination of the FLU_L2 and JURISDICT fields from the FLU_SOURCE_2020 layer. This method created generalized land use types within each jurisdiction present in the FLU_SOURCE_2020 layer. The result was a multipart layer named FLU_L2_DSV_2020.
STEP 2: Run Dice tool on all features containing more than 300,000 vertices.
STEP 3: Run Repair Geometry tool
STEP 4: Create a singlepart generalized L2 future land use layer (FLU_L2_2020):
The layer was created by running the Multipart to Singlepart tool on the FLU_L2_DSV_2020 layer.
STEP 5: Identify and eliminate slivers:
Slivers were identified by calculating each feature's thinness ratio (4 * 3.14 * [Shape_Area] / ([Shape_Length] * [Shape_Length])) and multiplying the result by the feature's total acres. All results < 0.1 were visually inspected. All features identified as slivers were merged with adjacent features using the Eliminate tool.
STEP 6: Run repair geometry tool
STEP 7: Final table edits
- Upcase and trim all fields
GeoPlan20200730GeoPlan Florida Future Land Use Process Steps 2020:
STEP 1: Download and obtain future land use data from data sources*.
GeoPlan obtained future land use datasets representing individual jurisdictions in Florida from January - July, 2020. Data were obtained from municipalities, counties, and regional planning councils in a variety of formats, including shapefiles, file geodatabases, and hard copy maps in pdf or jpg. In most cases, future land use datasets were downloaded directly from local jurisdiction websites or open data portals. For jurisdictions with no spatial data immediately available for download, future land use data was requested via email. For data consisting of hard copy maps only, GeoPlan created spatial data based on geometry from the 2019 parcels and FLU 2008 datasets. All spatial datasets were projected to Albers Conical Equal Area [Florida Geographic Data Library].
*For a full list of data sources used, please see the accompanying table: FLU_2020_DATASOURCE.
STEP 2: Create the FLU_SOURCE_2020 table structure.
GeoPlan added the following fields to the FLU_SOURCE_2020 layer:
FLU_ID
JURISDICT
COUNTY
FLU_L1
FLU_L1_DESC
FLU_L2
FLU_L2_DESC
FLU_L3
FLU_L3_DESC
FLU_SRC
FLU_SRC_DESC
DEN_MIN
DEN_MAX
FLUHORIZON
RES
NOTES
DATASOURCE
FSOURCE
UPDATEDAY
GCID
ACRES
DESCRIPT
FGDLAQDATE
STEP 3: Run Repair Geometry tool on each source dataset feature class.
STEP 4: Append source datasets to FLU_SOURCE_2020 layer.
For each source dataset, GeoPlan identified fields representing future land use codes, future land use code descriptions, and residential density information, if available. Each source dataset was appended to the FLU_SOURCE_2020 statewide future land use layer, with future land use code and description fields matched to the FLU_SRC and FLU_SRC_DESC fields, respectively. Residential density fields were matched to the DEN_MIN and DEN_MAX fields, if available. Additional information from the data source, including the future land use planning year (HORIZON), the name of the data source (DATASOURCE), and the date the future land use data was last updated (UPDATEDAY), was also added to the statewide layer. GeoPlan used the most recent comprehensive plan available for download to define any future land use code, future land use description, residential density attributes, horizon, and other information needing further clarification.
STEP 5: Create generalized future land use categories for the State of Florida.
Once all data sources were appended to the statewide layer, a summary table of future land use descriptions was created by dissolving on the JURISDICT, COUNTY, and FLU_SRC_DESC fields. This summary table was then used to create generalized, statewide categories for future land use, as defined by the FLU_L1 and FLU_L2 fields. The categories contained in the FLU_L1, FLU_L2, and FLU_L3 fields represent our best efforts to aggregate the specific future land use category definitions contained in the source datasets into generalized categories for the entire State of Florida. As with any effort to aggregate data, some information is inevitably lost or miscategorized. Users of this dataset should therefore refer to the FLU_SRC field or original source data to verify future land use category definitions.
GeoPlan created generalized residential categories for the State of Florida based on both nominal and numeric residential density information from the source data as follows:
(1) Identify all records categorized as "residential" land use from the source data
(2) Identify all records described by source data as "rural", "low", "medium", or "high" residential land use or their equivalent descriptions.
(3) Calculate descriptive statistics (n, mean, median, IQR) based on maximum allowable residential density for each residential category.
Using the statewide descriptive summaries outlined above, GeoPlan categorized residential land use as follows (units in dwelling units per acre*):
- Rural Residential Density (Max. Density <= 0.5)
- Very Low Density Residential (0.5 < Max. Density <= 2)
- Low Density Residential (2 < Max. Density <= 5)
- Medium Density Residential (5 < Max. Density <= 12)
- High Density Residential (12 < Max. Density)
For any local residential categories that were missing density values, GeoPlan approximated residential density as follows:
(1) Based on natural neighbor interpolation (2678 records)
(2) Based on county designation (if municipality using category similar to that of the county - 6527 (records)
(3) Based on adjacent residential land use categories (164 records)
*Please note: Density is measured in either gross acreage or net acreage, depending on the jurisdiction. This dataset does not distinguish between different measurements of acreage. Users of this dataset should refer to the original source data and/or jurisdiction comprehensive plans for exact density specifications.
STEP 6: Fix geometry for a small sample of jurisdictions.
As this dataset was created from a variety of different data sources, the statewide layer contains extensive slivers, overlaps, and gaps between features. The vast majority of the original features from the source data were left "as is", and very few topology corrections were applied. However, some corrections were applied for a small selection of jurisdictions:
(1) Any features containing over 300,000 vertices were divided into small features using the Dice tool,
with a vertice count limit of 300,000.
(2) Brevard County: Removed ocean water features.
(3) Broward County: Removed ocean water features.
(4) Calhoun County: Erased features from unincorporated Calhoun County that overlapped with Altha and Blountstown.
(5) Miami-Dade County: Removed features in Broward and Monroe Counties, where source field was equal to Broward or Monroe. Removed ocean water features.
(6) Pinellas County: Clipped Pinellas Park features based on par_citylimits layer to remove some overlap with unincorporated Pinellas and surrounding municipalities. Clipped features in unincorporated Pinellas that overlap with Clearwater, Safety Harbor, and Oldsmar.
(7) Polk County: Removed overlapping lakes from Auburndale, Dundee, Eagle Lake, Frostproof, Highland Park, Hillcrest Heights, Lake Alfred, Lake Hamilton, Lake Wales, and Winter Haven.
STEP 7: Final table edits
- Upcase and trim all fields
GeoPlan20200730GeoPlan Florida Level 2 Future Land Use Process Steps - April 2022:
The FLU_L2_2020 layer was updated in April 2022 to improve the aggregation
of features from the FLU_SOURCE_2020 layer to better reflect residential
designations of features (see STEP 1 below for more detail).
STEP 1: Create a generalized L2 future land use layer (FLU_L2_2020):
The layer was created by dissolving on a combination of the FLU_L2, JURISDICT,
and RES fields from the FLU_SOURCE_2020 layer. This method created generalized
land use types within each jurisdiction present in the FLU_SOURCE_2020 layer.
The result was a layer named FLU_L2_2020.
STEP 2: Run Dice tool on all features containing more than 200,000 vertices.
STEP 3: Run Repair Geometry tool
STEP 4: Final table edits
- Upcase and trim all fields.
- Calculate DESCRIPT based on FLU_L2_DESC field.
GeoPlan20220427VectorGT-polygon composed of chains322596NAD 1983 HARN Florida GDL Albers24.031.5-84.024.0400000.00.0coordinate pair0.00010.0001meterD North American 1983 HARNGRS 19806378137.0298.257222101FLU_L2_2020_APR22FLU_L2_2020_APR22.DBFGeoPlanOBJECTIDInternal feature number.EsriSequential unique whole numbers that are automatically generated.FLU_IDThe ID number representing the future land use jurisdiction. The first three digits correspond to the jurisdiction's US Census county FIPS code (COUNTYFP) and the last 5 digits correspond to the jurisdiction's US Census place FIPS code (PLACEFP).GeoPlanJURISDICTJurisdiction name (municipality or county).GeoPlanCOUNTYCounty name.GeoPlanFLU_L1The Level 1 future land use category code.GeoPlanCONSConservationGeoPlanPUBPublicGeoPlanWATWaterGeoPlanAGAgricultureGeoPlanTRTransportationGeoPlanMUMixed UseGeoPlanCOMCommercialGeoPlanUNKUnknownGeoPlanRESResidentialGeoPlanINDIndustrialGeoPlanRECRecreationalGeoPlanFLU_L1_DESCThe Level 1 future land use category description.GeoPlanFLU_L2The Level 2 future land use category code.GeoPlanOFPOffice, professional.GeoPlanCOMCommercial, business.GeoPlanMUDMixed use downtown centers, urban core centers, central business districts, etc.GeoPlanMUNMixed use neighborhood centers, town centers, activity centers, etc.GeoPlanMUGMixed use general categories such as commercial, office, residential, recreation, etc.GeoPlanRLLow density residential (maximum allowable residential density is greater than 2 du/ac and less than or equal to 5 du/ac).GeoPlanRECRecreation, parks, open space.GeoPlanMURMixed use rural villages, rural town centers, etc.GeoPlanWATWater.GeoPlanUNKUnknown.GeoPlanRVLVery low density residential (maximum allowable residential density is greater than 0.5 du/ac and less than or equal to 2 du/ac).GeoPlanMUSMixed use designated for specific developments or purposes.GeoPlanINSInstitutional, government, education, public facilities.GeoPlanRHHigh density residential (maximum allowable residential density is greater than 12 du/ac).GeoPlanTRTransportation, utilities.GeoPlanINDIndustrial, extractive, airports, freight terminals.GeoPlanCONSConservation, environmentally sensitive areas, preservation.GeoPlanFEDERALFederal government, military.GeoPlanRMMedium density residential (maximum allowable residential density is greater than 5 du/ac and less than or equal to 12 du/ac).GeoPlanNLNative American lands.GeoPlanRRRural residential (maximum allowable residential density is less than or equal to 0.5 du/ac).GeoPlanAGAgricultural or rural lands.GeoPlanPDPlanned development.GeoPlanFLU_L2_DESCThe Level 2 future land use category description.GeoPlanAGRICULTUREAgricultural or rural lands.Producer definedCOMMERCIALCommercial, business.Producer definedCONSERVATIONConservation, environmentally sensitive areas, preservation.Producer definedFEDERALFederal government, military.Producer definedINDUSTRIALIndustrial, extractive, airports, freight terminals.Producer definedINSTITUTIONALInstitutional, government, education, public facilities.Producer definedMIXED USE - DOWNTOWN/URBAN COREMixed use downtown centers, urban core centers, central business districts, etc.Producer definedMIXED USE - GENERALMixed use general categories such as commercial, office, residential, recreation, etc.Producer definedMIXED USE - NEIGHBORHOOD/ACTIVITY CENTERMixed use neighborhood centers, town centers, activity centers, etc.Producer definedMIXED USE - RURALMixed use rural villages, rural town centers, etc.Producer definedMIXED USE - SPECIAL PLANNING AREAMixed use designated for specific developments or purposes.Producer definedNATIVE AMERICAN LANDSNative American lands.Producer definedOFFICE/PROFESSIONALOffice, professional.Producer definedPLANNED DEVELOPMENTPlanned development.Producer definedRECREATIONRecreation, parks, open space.Producer definedRESIDENTIAL HIGH (> 12 DU/AC)High density residential (maximum allowable residential density is greater than 12 du/ac).Producer definedRESIDENTIAL LOW (2.01 - 5 DU/AC)Low density residential (maximum allowable residential density is greater than 2 du/ac and less than or equal to 5 du/ac).Producer definedRESIDENTIAL MEDIUM (5.01 - 12 DU/AC)Medium density residential (maximum allowable residential density is greater than 5 du/ac and less than or equal to 12 du/ac).Producer definedRESIDENTIAL RURAL (<= 0.5 DU/AC)Rural residential (maximum allowable residential density is less than or equal to 0.5 du/ac).Producer definedRESIDENTIAL VERY LOW (0.51 - 2 DU/AC)Very low density residential (maximum allowable residential density is greater than 0.5 du/ac and less than or equal to 2 du/ac).Producer definedTRANSPORTATION/UTILITIESTransportation, utilities.Producer definedUNKNOWNUnknown.Producer definedWATERWater.Producer definedFLUHORIZONThe intended planning year for future land use, as defined by the data source.GeoPlanN/A = Not available from source.Producer definedRESIndicates whether the future land use category allows for residential development (YES/NO), if known.GeoPlanDATASOURCEName of the tabular data source.GeoPlanFSOURCEName of the feature spatial data source.GeoPlanUPDATEDAYDate the data was last updated by the source, if known.GeoPlanGCIDGeoPlan Center unique ID.GeoPlanACRESAcres.GeoPlanSHAPEFeature geometry.EsriCoordinates defining the features.DESCRIPTField added by FGDL based on NAME.GeoPlanFGDLAQDATEThe date FGDL acquired the data from the Source.GeoPlanAUTOIDSHAPE.AREASHAPE.LENFlorida Geographic Data Library (FGDL)mailing431 Architecture PO Box 115706GainesvilleFL32611-5706USWeb site: http://www.fgdl.orgDOWNLOADABLE DATAThe 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.html20220506University of Florida GeoPlan CenterErik Finlaymailing and physical131 Architecture Building, PO Box 115706GainesvilleFL32611-5706USwww.fgdl.orgdata@fgdl.orgFGDC Content Standard for Digital Geospatial MetadataFGDC-STD-001-1998local timeErik FinlayUniversity of Florida GeoPlan Centerwww.fgdl.org131 Architecture Building, PO Box 115706GainesvilleFL32611-5706USdata@fgdl.org20220506ArcGIS Metadata1.0Florida Geographic Data Library (FGDL)431 Architecture PO Box 115706GainesvilleFL32611-5706USWeb site: http://www.fgdl.orgDOWNLOADABLE DATAFlorida Level 2 Future Land Use 2020 - April 20222022-04-272020UF GeoPlan Centervector digital dataState of FloridaThis dataset contains generalized future land use information for the State of Florida. Future land use designates intended future land use types as defined by local government. Data used to create this statewide layer were obtained from various local government data sources in Florida in 2020. Detailed local future land use categories from the original source data were generalized to create statewide future land use categories based on an intermediate level of aggregation (Level 2). This layer was updated in April 2022 to improve the aggregation of future land use features from the 2020 source data. For a full list of data sources used, please see the accompanying table: https://www.geoplan.ufl.edu/agol/pdf/Future_Land_Use/FLUDATASOURCE_2020.xlsxThe data was created to serve as base information for use in GIS systems for a variety of planning and analytical purposes.University of Florida GeoPlan CenterErik FinlayUniversity of Florida GeoPlan Centerwww.fgdl.org131 Architecture Building, PO Box 115706GainesvilleFL32611-5706USdata@fgdl.orgFloridaplanningCadastreplanningCadastreISO 19115 Topic CategoriesplanningCadastreFloridaplanningCadastreThe 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.htmlNone. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata.Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362publication date2020-07-30-87.637996-79.8725324.48031931.042638This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology.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 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.GeoPlan Florida Level 2 Future Land Use Process Steps - April 2022: The FLU_L2_2020 layer was updated in April 2022 to improve the aggregation of features from the FLU_SOURCE_2020 layer to better reflect residential designations of features (see STEP 1 below for more detail). STEP 1: Create a generalized L2 future land use layer (FLU_L2_2020): The layer was created by dissolving on a combination of the FLU_L2, JURISDICT, and RES fields from the FLU_SOURCE_2020 layer. This method created generalized land use types within each jurisdiction present in the FLU_SOURCE_2020 layer. The result was a layer named FLU_L2_2020. STEP 2: Run Dice tool on all features containing more than 200,000 vertices. STEP 3: Run Repair Geometry tool STEP 4: Final table edits - Upcase and trim all fields. - Calculate DESCRIPT based on FLU_L2_DESC field.2022-04-27GeoPlanGeoPlan Florida Level 2 Future Land Use Process Steps 2020: STEP 1: Create a multipart generalized L2 future land use layer (FLU_L2_DSV_2020): The layer was created by dissolving on a combination of the FLU_L2 and JURISDICT fields from the FLU_SOURCE_2020 layer. This method created generalized land use types within each jurisdiction present in the FLU_SOURCE_2020 layer. The result was a multipart layer named FLU_L2_DSV_2020. STEP 2: Run Dice tool on all features containing more than 300,000 vertices. STEP 3: Run Repair Geometry tool STEP 4: Create a singlepart generalized L2 future land use layer (FLU_L2_2020): The layer was created by running the Multipart to Singlepart tool on the FLU_L2_DSV_2020 layer. STEP 5: Identify and eliminate slivers: Slivers were identified by calculating each feature's thinness ratio (4 * 3.14 * [Shape_Area] / ([Shape_Length] * [Shape_Length])) and multiplying the result by the feature's total acres. All results < 0.1 were visually inspected. All features identified as slivers were merged with adjacent features using the Eliminate tool. STEP 6: Run repair geometry tool STEP 7: Final table edits - Upcase and trim all fields2020-07-30GeoPlanGeoPlan Florida Future Land Use Process Steps 2020: STEP 1: Download and obtain future land use data from data sources*. GeoPlan obtained future land use datasets representing individual jurisdictions in Florida from January - July, 2020. Data were obtained from municipalities, counties, and regional planning councils in a variety of formats, including shapefiles, file geodatabases, and hard copy maps in pdf or jpg. In most cases, future land use datasets were downloaded directly from local jurisdiction websites or open data portals. For jurisdictions with no spatial data immediately available for download, future land use data was requested via email. For data consisting of hard copy maps only, GeoPlan created spatial data based on geometry from the 2019 parcels and FLU 2008 datasets. All spatial datasets were projected to Albers Conical Equal Area [Florida Geographic Data Library]. *For a full list of data sources used, please see the accompanying table: FLU_2020_DATASOURCE. STEP 2: Create the FLU_SOURCE_2020 table structure. GeoPlan added the following fields to the FLU_SOURCE_2020 layer: FLU_ID JURISDICT COUNTY FLU_L1 FLU_L1_DESC FLU_L2 FLU_L2_DESC FLU_L3 FLU_L3_DESC FLU_SRC FLU_SRC_DESC DEN_MIN DEN_MAX FLUHORIZON RES NOTES DATASOURCE FSOURCE UPDATEDAY GCID ACRES DESCRIPT FGDLAQDATE STEP 3: Run Repair Geometry tool on each source dataset feature class. STEP 4: Append source datasets to FLU_SOURCE_2020 layer. For each source dataset, GeoPlan identified fields representing future land use codes, future land use code descriptions, and residential density information, if available. Each source dataset was appended to the FLU_SOURCE_2020 statewide future land use layer, with future land use code and description fields matched to the FLU_SRC and FLU_SRC_DESC fields, respectively. Residential density fields were matched to the DEN_MIN and DEN_MAX fields, if available. Additional information from the data source, including the future land use planning year (HORIZON), the name of the data source (DATASOURCE), and the date the future land use data was last updated (UPDATEDAY), was also added to the statewide layer. GeoPlan used the most recent comprehensive plan available for download to define any future land use code, future land use description, residential density attributes, horizon, and other information needing further clarification. STEP 5: Create generalized future land use categories for the State of Florida. Once all data sources were appended to the statewide layer, a summary table of future land use descriptions was created by dissolving on the JURISDICT, COUNTY, and FLU_SRC_DESC fields. This summary table was then used to create generalized, statewide categories for future land use, as defined by the FLU_L1 and FLU_L2 fields. The categories contained in the FLU_L1, FLU_L2, and FLU_L3 fields represent our best efforts to aggregate the specific future land use category definitions contained in the source datasets into generalized categories for the entire State of Florida. As with any effort to aggregate data, some information is inevitably lost or miscategorized. Users of this dataset should therefore refer to the FLU_SRC field or original source data to verify future land use category definitions. GeoPlan created generalized residential categories for the State of Florida based on both nominal and numeric residential density information from the source data as follows: (1) Identify all records categorized as "residential" land use from the source data (2) Identify all records described by source data as "rural", "low", "medium", or "high" residential land use or their equivalent descriptions. (3) Calculate descriptive statistics (n, mean, median, IQR) based on maximum allowable residential density for each residential category. Using the statewide descriptive summaries outlined above, GeoPlan categorized residential land use as follows (units in dwelling units per acre*): - Rural Residential Density (Max. Density <= 0.5) - Very Low Density Residential (0.5 < Max. Density <= 2) - Low Density Residential (2 < Max. Density <= 5) - Medium Density Residential (5 < Max. Density <= 12) - High Density Residential (12 < Max. Density) For any local residential categories that were missing density values, GeoPlan approximated residential density as follows: (1) Based on natural neighbor interpolation (2678 records) (2) Based on county designation (if municipality using category similar to that of the county - 6527 (records) (3) Based on adjacent residential land use categories (164 records) *Please note: Density is measured in either gross acreage or net acreage, depending on the jurisdiction. This dataset does not distinguish between different measurements of acreage. Users of this dataset should refer to the original source data and/or jurisdiction comprehensive plans for exact density specifications. STEP 6: Fix geometry for a small sample of jurisdictions. As this dataset was created from a variety of different data sources, the statewide layer contains extensive slivers, overlaps, and gaps between features. The vast majority of the original features from the source data were left "as is", and very few topology corrections were applied. However, some corrections were applied for a small selection of jurisdictions: (1) Any features containing over 300,000 vertices were divided into small features using the Dice tool, with a vertice count limit of 300,000. (2) Brevard County: Removed ocean water features. (3) Broward County: Removed ocean water features. (4) Calhoun County: Erased features from unincorporated Calhoun County that overlapped with Altha and Blountstown. (5) Miami-Dade County: Removed features in Broward and Monroe Counties, where source field was equal to Broward or Monroe. Removed ocean water features. (6) Pinellas County: Clipped Pinellas Park features based on par_citylimits layer to remove some overlap with unincorporated Pinellas and surrounding municipalities. Clipped features in unincorporated Pinellas that overlap with Clearwater, Safety Harbor, and Oldsmar. (7) Polk County: Removed overlapping lakes from Auburndale, Dundee, Eagle Lake, Frostproof, Highland Park, Hillcrest Heights, Lake Alfred, Lake Hamilton, Lake Wales, and Winter Haven. STEP 7: Final table edits - Upcase and trim all fields2020-07-30GeoPlanSpatial and Attribute Information32259620220506143459001.0original metadataPD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0idXRmLTgiPz4NCjxtZXRhZGF0YT4NCiAgPGlk
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