University of Florida GeoPlan Center 20150918 Statewide_2015V2_20150918.gdb vector digital data Gainesville, FL University of Florida GeoPlan Center State of Florida http://www.fgdl.org Source - 2015 Automated - 2016 This dataset contains parcels approaching the 50 year historical review process in Florida. Parcels were dissolved by the actual year built for each respective parcel polygon in 5 year increments for the years ranging from 1965-1974. Actual Year Built for each parcel polygon represents the original year that the structure / building on the property was built. Effective Year Built represents the last date which the structure / building was updated / renovated, etc. "The data was created to serve as base information for use in GIS systems for a variety of planning and analytical purposes." 20150820 20151030 publication date Complete As needed -87.594154 -79.872761 31.041974 24.508766 None planningCadastre None Built Year Growth Planning Cadastre Trends ISO 19115 Topic Categories planningCadastre None Florida FDOT District 1 None 2015 None 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 Florida Geographic Data Library (FGDL) Kate Norris mailing and physical

431 Architecture Building, PO Box 115706

Gainesville FL 32611-5706 US FGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.html Technical Support: http://www.fgdl.org/fgdlfeed.html Web site: http://www.fgdl.org FGDL Mailing Lists: http://www.fgdl.org/fgdl-l.html For FGDL Software: http://www.fgdl.org/software.html Florida Department of Revenue, County Property Appraisers, Water Management Districts, Panda Consulting, and GeoPlan Center. Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595 Florida Geographic Data Library: http://www.fgdl.org/ For Department of Revenue info: http://dor.myflorida.com/property/Pages/default.aspx 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 Florida Department of Revenue and County Property Appraisers 20150918 Brooksville, FL Southwest Florida Water Management District County Specific http://dor.myflorida.com/property/Pages/default.aspx 0 None 20150820 ground condition FGDL Spatial and Attribute Information GeoPlan used the available 2015 parcel tax data records gathered from the State Department of Revenue (DOR) and County Property Appraisers by Panda Consulting to create the Parcels Dissolved By Decade Of Actual Year Built shapefile. [Original Statewide Parcel Layer: Statewide_2015V2_20150918.gdb] ------------------------------------------------------------------------------------- GeoPlan updated the tabular data for some records that had no original tabular data. GeoPlan used the available 2015 NAL table from the following FDOR website. Missing tabular data was appended via a table join using the Parcel ID field. Tax Roll Data Files ftp://sdrftp03.dor.state.fl.us/Tax%20Roll%20Data%20Files/ 2015 Final NAL - SDF DBF Files ftp://sdrftp03.dor.state.fl.us/Tax%20Roll%20Data%20Files/2015%20Final%20NAL%20-%20SDF%20DBF%20Files/ The following counties were updated using this method: Broward County NAL16F20.zip (62.8 MB 10/30/15, 9:36:00 AM) 45,957 records updated Collier County NAL21F20.zip (23.6 MB 10/9/15, 5:40:00 PM) 31,154 records updated ------------------------------------------------------------------------------------- Process for dissolving parcel polygons based on 5 year increments of actual year built: - For each county a new field representing Actual Year Built [AYRBLT] was populated based on the attribute table information for the following fields; ACTYRBLT and AYRB. - First [AYRBLT] was set equal to ACTYRBLT, - Next a selection set was created where [AYRBLT] = 0, these selected features were set equal to AYRB. - Also checked for data in the Effective Year Built field where ACTYRBLT = 0. - Next a subset was created by selecting parcels where: ACTYRBLT > 1964 AND ACTYRBLT < 1975 - Next a YB_5YR field was added (String 30) - Next a field calculation for [YB_5YR] = "1965 - 1969" was performed for the following selection ACTYRBLT > 1964 AND ACTYRBLT > 1970 - Next a field calculation for [YB_5YR] = "1970 - 1974" was performed for the following selection ACTYRBLT > 1969 AND ACTYRBLT > 1975 - The parcel polygon boundaries were then Dissolved (as single part features) based on the Actual Year Built [YB_5YR] field. - The Dissolved layers were then run through the Repair Geometry Command 3x. - The Dissolved layers were then run through the Integrate Command at a tolerance of 1m. - The Dissolved layers were then run through the Repair Geometry Command 3x. - 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. - The Dissolved layers were then run through the Repair Geometry Command 3x. - Next the Dissolved Layers were then run through the Integrated Command at 1m. - The Dissolved layers were then run through the Repair Geometry Command 3x. - A spatial Join was then run with the Dissolved Layers and they corresponding Full County Parcel Label Points (which where dissolved on PARCELID) in order to get Parcel Count for each dissolved feature. - The shapefiles were then merged together statewide. - The final shapefile represents polygons of parcels which structures/ buildings were originally built in the same 5 year increment. - Several other fields were added to the attribute table: [DESCRIPT] - Based on [YB_5YR] [FGDLAQDATE] - The date FGDL acquired the original data from the Source. GeoPlan 20160523 Vector GT-polygon composed of chains 319886 NAD 1983 HARN Florida GDL Albers 24.0 31.5 -84.0 24.0 400000.0 0.0 coordinate pair 0.0001 0.0001 meter D North American 1983 HARN GRS 1980 6378137.0 298.257222101 YB_1965_1974 YB_1965_1974.DBF GeoPlan OBJECTID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. YB_5YR The range of the actual year builts by 5 year increments. GeoPlan 1965 -1969 Structures with actual year build dates ranging from 1965 to 1969. GeoPlan 1970 - 1974 Structures with actual year build dates ranging from 1970 to 1974. GeoPlan PAR_COUNT Number of individual parcels in dissolved polygon. 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. GeoPlan Center ACRES Number of Acres. GeoPlan Center DESCRIPT Based on YB_5YR. GeoPlan Center FGDLAQDATE The date FGDL acquired the data from the source. GeoPlan Center SHAPE.AREA SHAPE.LEN Florida Geographic Data Library (FGDL) mailing

431 Architecture PO Box 115706

Gainesville Florida 32611-5706 US Mailing list for FGDL: http://www.fgdl.org/fgdl-l.html FGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.html For FGDL Software: http://www.fgdl.org/software.html Web site: http://www.fgdl.org Technical Support: http://www.fgdl.org/fgdlfeed.html 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 20200303 University of Florida GeoPlan Center Kate Norris mailing and physical

431 Architecture Building, PO Box 115706

Gainesville FL 32611-5706 US data@fgdl.org www.fgdl.org FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time