RCIROADS_APR24 RCIROADS_APR24.DBF FDOT Feature Class38819 OBJECTIDOBJECTIDOID4100Internal feature number.EsriSequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. SHAPEGeometry800 ROADWAY Road system designation used by RCI as the roadway identifier. FDOT ROADWAYString3200 BEGIN_POST Start measure of the route in miles from RCI. FDOT BEGIN_POSTDouble8388 END_POST End measure of the route in miles from RCI. FDOT END_POSTDouble8388 YEAR_ Current Year FDOT YEAR_Integer4100 FUNCLASSCO Federal Functional Classification code characterizing the service provided FDOT FUNCLASSCOString200 FUNCLASS Federal Functional Classification code characterizing the service provided FDOT 00 Roadway Feature 01 Principal Arterial-Interstate RURAL 02 Principal Arterial-Other RURAL 06 Minor Arterial RURAL 07 Major Collector RURAL 08 Minor Collector RURAL 09 Local RURAL 11 Principal Arterial-Interstate URBAN 12 Principal Arterial-Freeways and Expressways 14 Other Principal Arterial URBAN 16 Minor Arterial URBAN 17 Collector URBAN 19 Local URBAN FUNCLASSString8000 SEGMENTID ID used by ACCESS database FDOT SEGMENTIDInteger4100 LANE_CNT LANE_CNTDouble8388 AADT Average Annual Daily Traffic count FDOT AADTInteger4100 RTLENGTH Length of segment in miles FDOT RTLENGTHDouble8388 RCILENGTH Length of segment calculated by subtracting begin post from the end post FDOT RCILENGTHDouble8388 ARCLENGTH Length of segment FDOT ARCLENGTHDouble8388 DESCRIPTFGDL added item based on FUNCLASSGeoPlanDESCRIPTString8000FGDLAQDATEDate GeoPlan acquired data from source.GeoPlanDateFGDLAQDATE800AUTOIDAUTOIDInteger410Unique ID added by GeoPlan. This field is for historic tracking of features.0SHAPE.LENSHAPE.LENDouble00Length of feature in internal units0 Sam Palmer University of Florida - GeoPlan Center GIS Specialist 3523928686 Architecture Gainesville Florida 32611 US 2024-04-13 ArcGIS Metadata 1.0 0.000Florida Geographic Data Library (FGDL)431 Architecture PO Box 115706Web site: http://www.fgdl.orgGainesvilleFL32611-5706USNoneDOWNLOADABLE DATAhttps://www.fgdl.org/Enterprise Geodatabase Feature Class Florida Department of Transportation RCI Derived Roads - April 2024 20240413T00:00:00 University of Florida - GeoPlan Center University of Florida - GeoPlan Center Gainesville, FL vector digital data State of Florida This dataset contains road segments from the Florida Department of Transportation Roads Characteristics inventory (RCI) dataset. This dataset is designed for use with the ETDM project and is associated with the other layers ROADIDS and MILEPOSTS. The FDOT GIS Functional Classification Roadways feature class provides spatial information on the assignment of roads into systems according to the character of the service they provide in relation to the total road network. Sam Palmer University of Florida - GeoPlan Center GIS Specialist 3523928686 Architecture Gainesville Florida 32611 US Florida transportation Florida Department of Transportation ISO 19115 Topic Category - April 2024 transportation Florida This product has been compiled from the most accurate source data from the Florida Department of Transportation's Transportation Statistics Office. However, this product is for reference purposes only and is not to be construed as a legal document or survey instrument. Any reliance on the information contained herein is at the user's own risk. The Florida Department of Transportation assumes no responsibility for any use of the information contained herein or any loss resulting therefrom. THE DATA INCLUDED IN FGDL ARE 'AS IS' AND SHOULD NOT BE CONSTRUED AS LEGALLY BINDING. 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 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. www.fgdl.org Environment as of Metadata Creation: Microsoft [Unknown] Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1 (Build 11595) Service Pack N/A (Build N/A) true -87.5871 -79.873 31.042 24.5085 publication date 20240413T00:00:00 1-87.587083-79.87303031.04202324.508491 The data set was taken from the Florida Department of Transportation Statistics Office from the following webpage: http://www.dot.state.fl.us/planning/statistics/gis The data set was originally downloaded in April 2024 as the RCI basemap. Specific instructions, created by FDOT, their consultants, and the GeoPlan Center, were carried out. The data set is then to be updated on a regular basis. The data was originally in UTM Zone 17, Nad83, units meters. -Project the shape file to the standard FGDL projection (EPSG = 3087). GIS Specialist University of Florida - GeoPlan Center 3253928686 Architecture Building Gainesville Fl 32611 2024-04-16T00:00:00 University of Florida - GeoPlan Center Unknown Spatial and Attribute Information 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 38819 1.0 20240425154329002024041811104500FGDC CSDGM MetadataFALSEArcSDE ConnectionRCIROADS_APR2400257644.762100793918.61050062549.309100781514.2494001ProjectedGCS_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/3.2.0'><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>-1041.8955470000001</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>2024042515432900 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAgvb2306zlu7uQRQRDLuQTgfhXPx/ETwjLbC4XXbYRM/lqz7l3NjOFyOe3Tpkeorb1XTLb WdMn0+7UtBMAGAx2II65B5A4II9Qa+dJ5o/t8ltbWP8AaEtnetD9hi2xMoWWMJIsLK27eCVOcknB OcDPo4HCU8QnzN3Xpt8yJSaPdB498KmRYzrlorMrsN7bRhfvcnjip18Z+GX+7r2nHpj/AEhecnA7 +x/I+hryuX4aXBt/7dutUtNPs1G+QS2yyN8zjc7LnYhALfKu4DJAPPFXxT4T1JLOwv8ATtSTUpNV MrrbxIE8/IDCRUyytkfM3IyDg5ziuhYLCSkoxm/6+Vthc0ux69/wmfhfymkPiHSwi43E3afLkkc8 8cgirSeIdEkbamsaezYJwLlCcAsCevqrD/gJ9DXyxd6HqomgiurG43yKIkJixluMquPvMoK8A+/A qeQ6laoun+e9wxkeAQW4ZcuBs3KAoHcH375ziul5LSa92ZPtH2PrKivJbT4wWuiwWOk6pp1w15Fb xJJIsgwzbVG7LepPYn6nrW/H8V9Aa2inkgvoFlVnjEqIGdQSMgbsnoP++hXkzy/ER+zoac6O7orl rf4heHrqWeKC4meWGUxMggbJIBJxxz0P4jA5pn/CyfCvmRp/aMgLv5QzayjD5AKn5cggkAjtWX1W vtyP7h8yOsoqpa6pYXsUEtrdwzJcAtE0bghwBk4+maGvkeCc2pWS4jQsIWOxs44BB5XPHJHesuWV 7WGW6K8x0T4iamZBDewQ3reaiHyMRyHzN3l7VLYOSBnnj5gcla9D0y9/tLTLe88vyvOQNs3htvtk cGta2GqUfiEmmW6KKKwGFFFFABRRRQAUUUUAFFFFABRRRQA2QOY2EbKr4+UsuQD7jIz+dcbafDbT 7XUn1JdS1IX0qkXFwkwV5jx1bBKgYXAUjpzurtKK0p1p001B2uJpMw38JaRLaWltNHcSx2knmQbr qT5G5wcBgOMntis3UPAtvcSWL29wAlnylvJBHtY+u8KHVsZG7J65xnmuuoqo4irF3UgsjyLX47/R JNPsLHTb21iM0kUkiRzSpFC7bjiRSwKkIBjAIAGRWdrGkQpPZQpdxSLBEJYzBJLDudTGqYycFmzF nHCrjplSfaLm1gvLdoLiMSRt1U/ofY+9cO1jZy3t1bNMSLaSVG8uzknaaNlAKMijAVQNoA4OARjv 6FDGX6arfz/X+vUhxOZ02306/u7W0lvmktYYvtMFtAF3KUzlzJKBhWG5jyM5HTAA5618JaZrXizX Gg0+8QQXbxCSJWMayKjZjC7W+YHHGcfKQDhga7c+FD4l1eIeTp8NjaLLDdAI5aR2QrnacMSGJ5bb 0yM547nQtEi0OwFqhjfazbXWIKQpJIXqemTWs8aqKfI9Wtu2olG55OvhDSLJLN5JobW2F21ss0qv HJFlmCNx8rYLMM5wucEnoMnxdoGn6DfJpOg3JdD5ch328dwpZywBb5TxlNx6DGRzgCvZPFOhQ6vp qK1mLrypVka2yFEy7sspJ6f3u2So5rntQi0LXrlofEv2W4/s63ky+/Y4KhSxJ4bkOBjgZVsjkCnQ x0pNTbb3ut/T+v8Agg4nmPhnxLfeD/EmnQahFA9k8pQvBGFdJPLIMZJA4y6k5zgYx0GO2vPEHiFv EQljjsUkntZYpAl2MRoMsCmDlmAjYg4G7dzgBRXDajb2U+jvqFu0ktoJG81SwUfKQyBHTI6hsBdv C9eOM61ubea0a+vbtZGtruOX93dK0+0fMoUElcliByOPTglfQnQhVftLa7PT+v6sSm1oReMk1Ua4 Lm6ayVrW3R91rmTDMQQZBk4YCU7ScL8oxzmvffh5dzXXhGFbiWKeSGRozPCMRzZ+YMvqPmxkcZBx xXn2q6Zo0tj/AGvqNpc6fdyTvJ5NwjAux3EqWf5mb51OR/cJ28c9B8NNSuTqN3Z3Fw7wSQI9skoV XTaTuz35LEgei56muPHS9thUkvh/rQqOkj0uiiivnzUKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigBAoUYAAGc8UtFFABXP65pnmxO72/wBrt1LS+RjJaQqy5PQkAEY5yMYAJ246Co7i3iu7 aW2nTfDKhjdc4ypGCPyq6c+SVwZ4H/wjI0o6j+5guI5ZTDDFMfNSRUHltIHwMyKSzcjjjvtzixXs OjXtpDd2NrKDI29HVYx5/mffL4UsCgA+XAyuep59n+Ih/s3wl59vHaxxW5VQGiOYx0BTaQQFGSQM kgEDHWvJNZsx4u8Pz6teOtnqtrIbyaJrWTc8MpLKwz/CBnAHoxyTivpMJX9tHnqbN2/RGMlbY7HT vDx1PSEa3gKyiSTdNOqhNxdQi7VXOSgAJ689fmqjr93rVjqVp4quLws+kJHJJboArTxv8sgAUkEg o4LEDhV6Faw9A8Y6faeFhDeWccb3c0fzq2ySIjb80YVDgEDPAGDnqMAaOrXsVz4ztrOyktTYaxYK s9tZRkIX3SbGkjV8kE/e9Fxkc4qfZVI1HzrTXp06r7gurHuNtcw3lrDdW8gkgmRZI3XoykZBH4Gp a4b4arNpunXfh6S9S8g06QC0uApUvC6hwCD3G7n0yBxiu5r5+vT9nUcU7r9OhqndBRRRWQwooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDnPHmq2mkeDdQmvI/OjlT7OIucuX+XAxyS ASccdOo614dpw1fUpo9PLyW09zabUgbkNbBTIN+45GSinjOVziuy+NGrTJqujabFDBdpBFLqElrI m8MVUopZRyQMsR0HB59POdJ8VWOoavFqGqm8SSBtiCwhUSNHknZkYx9488nC7Twa+ly7DyjhudK9 9f0WhjN6nSeI9C1fw/4ouXv4LLVdNEbt5MpFukm+MgMsY4BDAjj+4Dgda4vwu/iHVPFUFqlzNPci DyFjdi++JV3CMdtuBnnAwOvY9FqnjafxBpcsd5ZXK2uoBEmkw371lk3AlmYImNy4GNoHfvXcaL4M tNOW38RWt9NZRPJJLOLRWzGGfMPmKGJKhXcMRj5XzxjcOl1nQo2rJczVl8v66eXym13oWW8Tf2T4 5s21qJtPSe3/AHim4EgS4QkEEkE/NG4+UHkAEZODXqteWfES2u5/h1dX8cMcrQXMd7HKkhlMTJhW yGByBhhwTyfTmvQPD2sRa94fsdTiIxcRBmA/hfoy/gQR+FeBioKVKNWKtun8tv68jWO9jTooorgL CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPNfH3ha2Pi3RvFjztBBbMqaixOVM KnIGOpyTt4B6g8YJrjNA06y1jV7nxJaafbRaZbrHH9ihaRWgRNpDFkX7xC5zkevVcn2TxT4ctPFO gzabdJG2754mkXcEcA4OMj1I6g88EHmvJfBGkSadobW7XFg2oJdyW91bSSLuLqQdjeYQei4G3qG6 8V7mEr82Hd5e8tPlv/wL9NDKS1G3GmafFr0lhfqLWMRMZFli4Cl2KRISwYhVcnAwT7AV3vgTyNS0 Erb6hLFcW8ht7yCJIggkXG4BSrcds5z156VgaTpVlq+v6lpr6ZeJBbPkPbyREOAQpj3E8BSgOBzl iSfXS0nw7FpHiuewsLExWLQi7YRygXKSFivBEmFQqBz1OMetLETjODg3qkn0GlqaNzZzabJLopjD 2d3BK1t5RkiSMn78QSMNx824Z7bgOBWJ8N9RlsPFWv8AhidwYw32y1Pmq4ZSSDjAA5AVscd+KabT UIjbX9rarcxeTuubsyefJDuKklkdVV+CTgHcBySeAeL1GO+8LeP7TxRZxyT2jTvAW2HJO8l1wGJw FOO44yB0p0qKqQlTb1a/Ffl/TE3Z3PoWimRSxzwpNE6vHIoZHU5DA8gg0+vDNQooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigArz7xT8N9K1/wASJeXpVLKZHe4QjbmfCJGQwwRnPIzy VGByTXoNVdStZL3Tp7aORUaRSuWXcMHqCPcZH41tQrTpT5oOwmrnmHhfxToNhbWWkNrjtcWGQ89v EsivGYy/3gjEkDaG6/Mp9K0oNZ1GWfUrm0tLwxJu2tK4RpFcLukUbBIQAoKnjjHbGOU1zwF4c8N+ LdOGpLEljqglQlgfLhkwuFT5gw5ZznJPK4+7XXeH1/tGNLSG1lltby3EkN7qFuS6L5aqVxnGAduP m7kY+XJ9atGjb2sLtPXX11/UzV9mar+J4NJ8NXEk2lm1khs/tEdvu82OXK5A3qCeTxlgMk965bXt b0jTfCsd62m3FsWnSOe4EUsUdx1QSMwTLnIzg4cED2z6Ba2cZa8tbqJEmuHaTdFFsVlG0Ajk8j5T z3PSsHx7qtvonw81+S5hYvLC9s0ScBmlygcegOdx+h75rloSg6iiotttdSnsHwl1ObVfhrpU1w5e WMPCWLEkhXIGc98Yrtq4j4Q2623wv0cLj5xLIT65lcjPvjA/Cu3rmxlvrNTl2u/zKjsgooormGFF FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAc14x8OR69bWEyW3nXthdxz258zYF+Y bs8jIx1GQeOCDUVxayrrOnibSt8KeablxKZ0CsONob5jlsZAHGQeetdVRW8a8lFReyv+IrGZbxaR dMnl2UO4rvTzLXYSPbcozXivx+ihim01LWRIgAfMtosAP3DsAe2SBxn5j0HX3O+NmsaNdxLIN21F 8oyEk+igE9BnjsK8rvPC1x4o+Nlve3GnmLQ9KhjMZkjEfmkZYAKcEr5jHJwRx7iu7Laip1vbSekU 3/wCZq6sd18P4mh+H+hROMMlmgPGO1dJTY40ijWONQqIAqqOgA6CnV5tSfPNz7u5S0QUUUVAwooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoqveXsNhCJZ/M2ltoEUTSMTgnAVQSeh 7VSjvtXmn+XR0hgywzcXQV8g4BwgYYOCevce+KUG1cLl6W2M1zBK0hCQksEXjLYIyT6YJ4qjJax6 lq8FzsXyrTI8zAzI+RgA46LjqD149RU5sprn/j+uN6A8RQgxof8Ae5JbvxnHqD1q4iLGioihUUAK qjAA9BVc3Ls9RDqKKKzGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAf//Z datasetEPSG6.12(9.2.0)