UF GeoPlan Center 20220427 2020 vector digital data State of Florida Gainesville, Fl University of Florida - GeoPlan Center This 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.xlsx. The data was created to serve as base information for use in GIS systems for a variety of planning and analytical purposes. 20200730 publication date Complete As needed -87.637996 -79.872530 31.042638 24.480319 ISO 19115 Topic Categories planningCadastre None Florida planningCadastre planningCadastre None None. 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 Center Erik Finlay mailing and physical

131 Architecture Building, PO Box 115706

Gainesville FL 32611-5706 US www.fgdl.org data@fgdl.org University of Florida GeoPlan Center Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.0.10450 GeoPlan 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. onLine Spatial and Attribute Information Varies GeoPlan GeoPlan 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: https://www.geoplan.ufl.edu/agol/pdf/Future_Land_Use/FLUDATASOURCE.xlsx 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 - Calculate DESCRIPT based on FLU_L2_DESC field withheld 20200730 GeoPlan 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 - Calculate DESCRIPT based on FLU_L2_DESC field. withheld 20200730 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. - Rename layer FLU_L2_2020_APR22. withheld 20220427 Vector Simple FALSE 0 FALSE FALSE FLU_L2_2020_APR22 FLU_L2_2020_APR22.DBF GeoPlan Feature Class 0 FID FID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. FLU_ID The 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). GeoPlan FLU_ID String 10 0 0 JURISDICT Jurisdiction name (municipality or county). GeoPlan JURISDICT String 50 0 0 COUNTY County name. GeoPlan COUNTY String 100 0 0 FLU_L1 The Level 1 future land use category code. GeoPlan CONS Conservation GeoPlan PUB Public GeoPlan WAT Water GeoPlan AG Agriculture GeoPlan TR Transportation GeoPlan MU Mixed Use GeoPlan COM Commercial GeoPlan UNK Unknown GeoPlan RES Residential GeoPlan IND Industrial GeoPlan REC Recreational GeoPlan FLU_L1 String 10 0 0 FLU_L2 The Level 2 future land use category code. GeoPlan OFP Office, professional. GeoPlan COM Commercial, business. GeoPlan MUD Mixed use downtown centers, urban core centers, central business districts, etc. GeoPlan MUN Mixed use neighborhood centers, town centers, activity centers, etc. GeoPlan MUG Mixed use general categories such as commercial, office, residential, recreation, etc. GeoPlan RL Low density residential (maximum allowable residential density is greater than 2 du/ac and less than or equal to 5 du/ac). GeoPlan REC Recreation, parks, open space. GeoPlan MUR Mixed use rural villages, rural town centers, etc. GeoPlan WAT Water. GeoPlan UNK Unknown. GeoPlan RVL Very low density residential (maximum allowable residential density is greater than 0.5 du/ac and less than or equal to 2 du/ac). GeoPlan MUS Mixed use designated for specific developments or purposes. GeoPlan INS Institutional, government, education, public facilities. GeoPlan RH High density residential (maximum allowable residential density is greater than 12 du/ac). GeoPlan TR Transportation, utilities. GeoPlan IND Industrial, extractive, airports, freight terminals. GeoPlan CONS Conservation, environmentally sensitive areas, preservation. GeoPlan FEDERAL Federal government, military. GeoPlan RM Medium density residential (maximum allowable residential density is greater than 5 du/ac and less than or equal to 12 du/ac). GeoPlan NL Native American lands. GeoPlan RR Rural residential (maximum allowable residential density is less than or equal to 0.5 du/ac). GeoPlan AG Agricultural or rural lands. GeoPlan PD Planned development. GeoPlan FLU_L2 String 10 0 0 FLU_L1_DES FLU_L1_DES String 50 0 0 FLUHORIZON The intended planning year for future land use, as defined by the data source. GeoPlan N/A = Not available from source. Producer defined FLUHORIZON String 15 0 0 FLU_L2_DES FLU_L2_DES String 50 0 0 RES Indicates whether the future land use category allows for residential development (YES/NO), if known. GeoPlan RES String 5 0 0 DATASOURCE Name of the tabular data source. GeoPlan DATASOURCE String 100 0 0 FSOURCE Name of the feature spatial data source. GeoPlan FSOURCE String 100 0 0 UPDATEDAY Date the data was last updated by the source, if known. GeoPlan UPDATEDAY Date 8 0 0 GCID GeoPlan Center unique ID. GeoPlan GCID Double 19 0 0 ACRES Acres. GeoPlan ACRES Double 19 0 0 SHAPE Feature geometry. Esri Coordinates defining the features. Shape Geometry 0 0 0 DESCRIPT Field added by FGDL based on NAME. GeoPlan DESCRIPT String 150 0 0 FGDLAQDATE The date FGDL acquired the data from the Source. GeoPlan FGDLAQDATE Date 8 0 0 AUTOID AUTOID Integer 10 10 0 SHAPE_Leng SHAPE_Leng Double 19 0 0 SHAPE_Area SHAPE_Area Double 19 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. SQFT SQFT Double 19 0 0 Florida Geographic Data Library (FGDL) mailing

431 Architecture PO Box 115706

Gainesville FL 32611-5706 US Web site: http://www.fgdl.org DOWNLOADABLE DATA 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 20200727 University of Florida GeoPlan Center Erik Finlay mailing and physical

131 Architecture Building, PO Box 115706

Gainesville FL 32611-5706 US www.fgdl.org data@fgdl.org FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time 1.0 Future Land Use 52784.814000 793964.149100 59427.169400 781582.372500 1 002 0.000 Projected GCS_North_American_1983_HARN Linear 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' 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KKACiiigD//Z Erik Finlay University of Florida GeoPlan Center www.fgdl.org 131 Architecture Building, PO Box 115706 Gainesville FL 32611-5706 US data@fgdl.org 20240617 ArcGIS Metadata 1.0 Florida Geographic Data Library (FGDL) 431 Architecture PO Box 115706 Gainesville FL 32611-5706 US Web site: http://www.fgdl.org DOWNLOADABLE DATA Shapefile 0.000 Florida Level 2 Future Land Use 2020 - April 2022 2022-04-27 2020 UF GeoPlan Center vector digital data State of Florida <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This 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. </SPAN><SPAN>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.xlsx</SPAN></P><P><SPAN /></P></DIV></DIV></DIV> The 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 Center Erik Finlay University of Florida GeoPlan Center www.fgdl.org 131 Architecture Building, PO Box 115706 Gainesville FL 32611-5706 US data@fgdl.org Florida ISO 19115 Topic Categories planningCadastre planningCadastre planningCadastreFloridaplanningCadastre2025_Keep 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 <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>None. 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.</SPAN></P></DIV></DIV></DIV> Esri ArcGIS 13.1.3.41833 publication date 2020-07-30 -87.637996 -79.87253 24.480319 31.042638 1 -87.637996 -79.872530 31.042638 24.480319 This 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. Spatial and Attribute Information GeoPlan 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 2020-07-30T00:00:00 GeoPlan GeoPlan 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 2020-07-30T00:00:00 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. 2022-04-27T00:00:00 GeoPlan dataset EPSG 6.12(9.2.0) 0 GCS_North_American_1983_HARN Albers Conical Equal Area D_North_American_1983_HARN Geodetic Reference System 80