ROADIDS_JAN25 ROADIDS_JAN25.DBF GeoPlan Feature Class8251 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 MILEPOST Mile post number FDOT MILEPOSTDouble8388 TYPE All values should be equal to MIDPOINT FDOT TYPEString800 MP_ID Mile post ID number FDOT MP_IDInteger4100 LAT_DDLatitudeGeoPlanLAT_DDDouble8388LONG_DDLongitudeGeoPlanLONG_DDDouble8388MGRSMilitary Grid Reference System (MGRS) Coordinate of the Facility. The MGRS is the geocoordinate standard used by NATO militaries for locating points on the earth. The MGRS provides a means to represent any location on the surface of the Earth using an alphanumeric string. Hierarchical references are based on the Universal Transverse Mercator (UTM) coordinate system. The MGRS is used for the entire earth. http://mgrs-data.orgGeoPlanMGRSString1500GOOGLEMAP Webpage hyperlink to location in Google Maps.GeoPlanGOOGLEMAPString10000DESCRIPTFGDL added item based on NONEGeoPlanDESCRIPTString2500FGDLAQDATEDate GeoPlan acquired data from source.GeoPlanDateFGDLAQDATE800AUTOIDAUTOIDInteger410Unique ID added by GeoPlan. This field is for historic tracking of features.0 Sam Palmer University of Florida - GeoPlan Center GIS Specialist 3529328686 Architecture Building Gainesville Florida 32611 US 2025-01-18 ArcGIS Metadata 1.0 0.000Florida Geographic Data Library (FGDL)Jonathan and Melanie Antevy Hall1480 Inner Road, Room 431PO Box 115706GainesvilleFL32611-5706UShttps://fgdl.org/info/contact/NoneDOWNLOADABLE DATAhttps://www.fgdl.org/Enterprise Geodatabase Feature Class Florida Department of Transportation RCI Derived Roadway IDs - January 2025 20250118T00:00:00 University of Florida - GeoPlan Center University of Florida - GeoPlan Center Gainesville, FL vector digital data State of Florida This dataset contains Road ID points 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 RCIROADS and MILEPOSTS. It is used for labeling the roadway ids for the RCIROADS layer on the ArcIMS maps. 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 3529328686 Architecture Building Gainesville Florida 32611 US Florida transportation Florida Department of Transportation ISO 19115 Topic Category - January 2025 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. FDOT GIS: http://www.fdot.gov/statistics/gis/default.shtm 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 -87.5866 -79.8734 31.036 24.5121 publication date 20250118T00:00:00 The RCI is a computerized database of physical and administrative data related to the roadway networks that are either maintained by or are of special interest to the Department. In addition to data required by the Department, the RCI contains other data as required for special Federal and State reporting obligations. The RCI is maintained by District and Central Office personnel. While there are many other important databases maintained by the Department (several that contain more highly technical data such as bridge specifications, highway design, or pavement) the RCI remains the largest database with over 1 million records. (Chapter 1 – Page 1 RCI Office Handbook) 1-87.586590-79.87338731.03596124.512146 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 January 2025 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). GeoPlan 2025-01-20T00:00:00 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 8251 1.0 24000 Unknown ROADIDS_JAN25002ArcSDE Connection57672.306900793907.00320062954.243300780841.7341001ProjectedGCS_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/3.3.0'><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>0</ZOrigin><ZScale>1</ZScale><MOrigin>-1053.8383612570201</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>20250207142038002025020714203800 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