Florida Department of Transportation, Transportation Data and Analytics Office (TDA)20221022Florida Department of Transportation RCI Derived Mile Posts - October 2022vector digital dataGainesville, FLUniversity of Florida GeoPlan CenterGainesville, FLUniversity of Florida GeoPlan CenterState of Floridahttp://www.fdot.gov/statistics/gis/default.shtmThis dataset contains mile post markers derived 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 ROADIDS.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.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)20221022publication dateAs needed-87.586886-79.87304631.04202124.508491ISO 19115 Topic CategorytransportationNoneFloridaNoneThis 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.htmlUniversity of Florida GeoPlan CenterSam PalmerGIS SpecialistmailingArchitecture BuildingGainesvilleFlorida32611US3523928686 Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362Gainesville, FlUniversity of Florida - GeoPlan CenterGeoPlan relied on the integrity of the attribute information within the original data.This data set was created from RCI Roads June 2004.This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topologyThis 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 GeoPlanThis data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan0onLineUniversity of Florida - GeoPlan CenterFlorida Department of TransportationFlorida Department of Transportation RCI ROADS - October 2022vector digital dataGainesville, FlUniversity of Florida - GeoPlan CenterState of Floridawww.dot.state.fl.us24000onLineFDOTSpatial and Attribute InformationThe 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 October 2022 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).GeoPlan20221024VectorEntity point42204NAD 1983 HARN Florida GDL Albers24.031.5-84.024.0400000.00.0coordinate pair0.00010.0001meterD North American 1983 HARNGRS 19806378137.0298.257222101MILEPOSTS_OCT22MILEPOSTS_OCT22.DBFFDOTOBJECTIDInternal feature number.EsriSequential unique whole numbers that are automatically generated.ShapeFeature geometry.ESRICoordinates defining the features.ROADWAYRoad system designation used by RCI as the roadway identifier.FDOTMILEPOSTMile post numberFDOTTYPEAll values should be equal "MILEPOST"FDOTID_MPCalculated based on FIDFDOTMP_RDWYCalculated based on fields MILEPOST and ROADWAYFDOTMPMile post numberFDOTLAT_DDLatitudeGeoPlanLONG_DDLongitudeGeoPlanMGRSMilitary 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.orgGeoPlanGOOGLEMAP Webpage hyperlink to location in Google Maps.GeoPlanDESCRIPTFGDL added item based on NONEGeoPlanFGDLAQDATEDate GeoPlan acquired data from source.GeoPlanAUTOIDFlorida Geographic Data Library (FGDL)mailing431 Architecture PO Box 115706GainesvilleFlorida32611-5706USWeb site: http://www.fgdl.orgDOWNLOADABLE DATAThe 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.html20221108Florida Department of Transportation, Transportation Statistics OfficeGIS Section ManagerGIS Section Managermailing and physicalTransportation Statistics Office, 605 Suwannee Street, MS 27TallahasseeFlorida32399-0450US(850) 414-4848/Toll Free: (800) 399-5503CO-TDAGIS@dot.state.fl.usFGDC Content Standard for Digital Geospatial MetadataFGDC-STD-001-1998local timeGIS Section ManagerFlorida Department of Transportation, Transportation Statistics OfficeGIS Section Manager(850) 414-4848/Toll Free: (800) 399-5503Transportation Statistics Office, 605 Suwannee Street, MS 27TallahasseeFlorida32399-0450USCO-TDAGIS@dot.state.fl.us20221108ArcGIS Metadata1.0Florida Geographic Data Library (FGDL)431 Architecture PO Box 115706GainesvilleFlorida32611-5706USWeb site: http://www.fgdl.orgDOWNLOADABLE DATAhttp://www.fdot.gov/statistics/gis/default.shtmFlorida Department of Transportation RCI Derived Mile Posts - October 20222022-10-22University of Florida GeoPlan CenterGainesville, FLUniversity of Florida GeoPlan CenterGainesville, FLFlorida Department of Transportation, Transportation Data and Analytics Office (TDA)vector digital dataState of FloridaThis dataset contains mile post markers derived 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 ROADIDS.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 PalmerUniversity of Florida GeoPlan CenterGIS Specialist3523928686Architecture BuildingGainesvilleFlorida32611USFloridatransportationISO 19115 Topic CategoryFloridatransportationThe 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.htmlThis 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.htmlUniversity of Florida - GeoPlan CenterGainesville, FlVersion 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362publication date2022-10-22-87.586886-79.87304624.50849131.042021The 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)This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topologyThis data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topologyThis 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 set was created from RCI Roads June 2004.This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlanThis data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlanThe 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 October 2022 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).2022-10-24GeoPlanUniversity of Florida - GeoPlan Center0Spatial and Attribute Information24000Florida Department of Transportation RCI ROADS - October 2022FDOTFlorida Department of TransportationUniversity of Florida - GeoPlan CenterGainesville, Flvector digital dataState of Floridawww.dot.state.fl.us4220420221108143748001.0500005000original metadataPD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0idXRmLTgiPz4NCjxtZXRhZGF0YT4NCiAgPGlk
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