20230614 13270800 1.0 FALSE ETAT.SL2070_SPRAWL_MAY23 Server=poke.geoplan.ufl.edu; Service=sde:oracle$poke.geoplan.ufl.edu/etdm.gisdata; User=etat; Version=SDE.DEFAULT ArcSDE Connection 69244.870000 793924.870000 62818.990000 775858.990000 1 002 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' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.1.0'><WKT>PROJCS[&quot;NAD_1983_HARN_Florida_GDL_Albers&quot;,GEOGCS[&quot;GCS_North_American_1983_HARN&quot;,DATUM[&quot;D_North_American_1983_HARN&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Albers&quot;],PARAMETER[&quot;False_Easting&quot;,400000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-84.0],PARAMETER[&quot;Standard_Parallel_1&quot;,24.0],PARAMETER[&quot;Standard_Parallel_2&quot;,31.5],PARAMETER[&quot;Latitude_Of_Origin&quot;,24.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3087]]</WKT><XOrigin>-19550100</XOrigin><YOrigin>-7526400</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3087</WKID><LatestWKID>3087</LatestWKID></ProjectedCoordinateSystem> 20230818 17234100 20230818 17234100 150000000 5000 FGDC Mike Volk University of Florida Center for Landscape Conservation Planning Research Associate Professor, Department of Landscape Architecture mikevolk@ufl.edu P. O. Box 115706 Gainesville FL 32611-5706 US mikevolk@ufl.edu 20230818 ArcGIS Metadata 1.0 Sea Level 2070: Sprawl Scenario Developed Lands in Florida - 2022 2023-05-08T00:00:00 Mike Volk, University of Florida Center for Landscape Conservation Planning, Research Associate Professor, Department of Landscape Architecture vector digital data State of Florida <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset contains a representation of developed lands projected to occur in Florida in the Sprawl 2070 scenario from the Sea Level 2040/2070 project. Sea Level 2040/2070 is a joint effort of the University of Florida's Center for Landscape Conservation Planning, 1000 Friends of Florida, and the Florida Department of Agriculture and Consumer Services. Sea Level 2040/2070 produced five land use/population distribution scenarios, Baseline, Sprawl 2040/2070, and Conservation 2040/2070. The two 2070 scenarios are based on a population projection derived from data produced by the Florida Bureau of Economic and Business Research. The Baseline captures the patterns of land use and associated population distribution that existed in 2019. Sprawl 2070 captures a potential pattern of land use and associated population distribution for 2070, should all new development occur in greenfields at the same gross development density as was present in each county in 2010. Conservation 2070 captures a potential pattern of land use and associated population distribution for 2070 that assumes increased levels of redevelopment of existing urban areas, increased gross development densities in greenfields over those of 2010, and protection for additional agricultural and natural lands.</SPAN></P></DIV></DIV></DIV> This dataset includes a Sprawl 2070 scenario for future development in Florida developed as part of the Sea Level 2040/2070 project (https://1000fof.org/sealevel2040/). Sea Level 2040/2070 is a joint effort of the University of Florida's Center for Landscape Conservation Planning, 1000 Friends of Florida, and the Florida Department of Agriculture and Consumer Services. This is a joint project of the Florida Department of Agriculture and Consumer Services (DACS), University of Florida Center for Landscape Conservation Planning (CLCP) and 1000 Friends of Florida, with funding provided by DACS. Sea Level 2070 https://1000fof.org/sealevel2040/wp-content/uploads/2023/05/FOF-1283-Sea-Level-2070-Print-Report-Phase-II-v5.pdf Mike Volk University of Florida Center for Landscape Conservation Planning Research Associate Professor, Department of Landscape Architecture mikevolk@ufl.edu P. O. Box 115706 Gainesville FL 32611-5706 US mikevolk@ufl.edu Dan Farrah University of Florida Center for Landscape Conservation Planning Development and Land Use Analyst dfarrah@ufl.edu P. O. Box 115706 Gainesville FL 32611-5706 US dfarrah@ufl.edu Florida 2022 Sea Level 2040 Land Use Population Projections Land Development Urban Densities Urban Density Greenfields Agricultural Lands Natural Lands Landuse Redevelopment ISO 19115 Topic Categories environment planningCadastre Sea Level 2070 Land Use Population Projections Land Development Urban Densities Urban Density Greenfields Agricultural Lands Natural Lands Landuse Redevelopment <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This project represents an analysis of potential future development and land use change at the statewide scale. It is not intended for use below the county scale, or to inform detailed land use planning decisions. This data is intended to be used for general informational and planning purposes, and is not appropriate for legal and/or cadastral purposes. GIS data from the Center for Landscape Conservation Planning (CLCP) is provided as a public service by CLCP. CLCP makes every effort to provide accurate and complete data. Metadata is provided for all datasets and no data should be used without first reading and understanding the limitations of the data. The CLCP provides NO WARRANTY as to the accuracy of this data or any corresponding attributes or metadata. Data is provided in an “as is” condition, without warranty of any kind, either expressed or implied, including any assurance that the data is fit for a particular purpose. CLCP shall have no liability, in any case, to the use of provided data (including redistribution and reproduction). Full liability, responsibility and consequence relating to the use of provided data rest with the user.</SPAN></P></DIV></DIV></DIV> 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. Esri ArcGIS 13.0.0.36056 true -87.603213 -79.872645 31.042156 24.508477 State of Florida 2021-10-05T00:00:00 2022-07-18T00:00:00 See the Technical Report Sea Level 2070 https://1000fof.org/sealevel2040/wp-content/uploads/2023/05/FOF-1283-Sea-Level-2070-Print-Report-Phase-II-v5.pdf 1 -87.463942 -79.874946 30.991042 24.510921 Spatial and Attribute Information The Florida 2070 conservation scenario used suitability modeling to identify areas likely to develop in the future. The gross development density for each county was used determine how much growth would occur. See the 2070 report for more detail. Sea Level 2070 https://1000fof.org/sealevel2040/wp-content/uploads/2023/05/FOF-1283-Sea-Level-2070-Print-Report-Phase-II-v5.pdf 2022-07-18 Dan Farrah University of Florida Center for Landscape Conservation Planning Development and Land Use Analyst dfarrah@ufl.edu P. O. Box 115706 Gainesville FL 32611-5706 US dfarrah@ufl.edu The GeoPlan Center received via email, the following CLCP datasets on July 10th, 2023 from Dan Farrah (uf.farrah@dogcubed.com): sl_2040_2070.gdb 7-10-23.zip sl_2040_2070.gdb FGDB contained the following feature datasets: sl2040_2070_baseline_may23 sl2040_2070_cons_protect_may23 sl2040_conservation_may23 sl2040_sprawl_may23 sl2070_conservation_may23 sl2070_sprawl_may23 -------------------------- Original Projection Information: NAD_1983_HARN_Florida_GDL_Albers (3087) -------------------------- During the QA/QC process the following tasks were undertaken: - Each feature dataset was exported to its own FGDB of the same name. - Uppercased all records in the table except any URL fields. - A FGDLAQDATE field was added based on the date FGDL acquired the data from the Source. - Updated Metadata. 2023-07-10T00:00:00 Kate Norris University of Florida GeoPlan Center Geospatial Data Manager & Senior GIS Specialist www.fgdl.org 131 Architecture Building | PO Box 115706 Gainesville FL 32611-5706 US data@fgdl.org Kate Norris Kate Norris 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. 0 0 288598 288598 SL2070_SPRAWL_MAY23 SL2070_SPRAWL_MAY23.DBF CLCP Feature Class 288598 OBJECTID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. OBJECTID OID 4 10 0 Shape Feature geometry. Esri Coordinates defining the features. SHAPE Geometry 8 0 0 SCENARIO Scenario Description. Scenarios for this project include baseline, sprawl 2040, sprawl 2070, conservation 2040, and conservation 2070. CLCP SCENARIO String 255 0 0 DESCRIPT Identification Description of Development Area. Scenarios for this project include baseline, sprawl 2040, sprawl 2070, conservation 2040, and conservation 2070. CLCP DESCRIPT String 255 0 0 FGDLAQDATE FGDLAQDATE Date 8 0 0 The date FGDL acquired the data from the Source. GeoPlan AUTOID AUTOID Integer 4 10 Unique ID added by GeoPlan. 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