20240117101956001.0FALSETIGER_ROADS_2023ArcSDE Connection00252944.320800793929.08660062269.903100781559.8092001ProjectedGCS_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["NAD_1983_HARN_Florida_GDL_Albers",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",400000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-84.0],PARAMETER["Standard_Parallel_1",24.0],PARAMETER["Standard_Parallel_2",31.5],PARAMETER["Latitude_Of_Origin",24.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3087]]</WKT><XOrigin>-19550100</XOrigin><YOrigin>-7526400</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3087</WKID><LatestWKID>3087</LatestWKID></ProjectedCoordinateSystem>202501241746040020250124174604001500000005000FGDCKate NorrisUniversity of Florida GeoPlan Center131 Architecture BLDG, PO Box 115706GainesvilleFL32611USdata@fgdl.orghttps://www.fgdl.org/date@fgdl.org20250124ArcGIS Metadata1.00.000Florida Geographic Data Library (FGDL)431 Architecture PO Box 115706Web site: http://www.fgdl.orgGainesvilleFL32611-5706USNoneDOWNLOADABLE DATAhttps://www.fgdl.org/Enterprise Geodatabase Feature ClassRoads (US Census Bureaus Tiger/Line) in Florida - 20232023-12-05T00:00:002023U.S. Department of Commerce, U.S. Census Bureau, Geography DivisionU.S. Census BureauWashington, DCvector digital dataState of Florida<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset contains 2023 Florida Roads derived from the Census Bureau's TIGER/Line data (All Lines County-based Shapefiles). The TIGER/Line Shapefiles are an extract of selected geographic and cartographic information from the Census MAF/TIGER database. The Census MAF/TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each TIGER/Line Shapefile is designed to stand alone as an independent data set or the shapefiles can be combined to cover the whole nation. The GeoPlan Center obtained the 2023 TIGER/Line data from the Census Bureau and extracted the roads network from the Census Bureau's MAF/TIGER county-based files. GeoPlan formatted the statewide roads dataset so that it may be used as a Geocoding reference dataset in an address locator file, see the supplemental information section for more information on creating locator files. Please Note: This roads data layer is Not used in the FDOT ETDM project. This layer is an update to the FGDL layer TIGER_ROADS_2018.</SPAN></P></DIV></DIV></DIV>This dataset contains 2023 Florida Roads derived from the Census Bureau's TIGER/Line data (All Lines County-based Shapefiles). GeoPlan formatted the statewide roads dataset so that it may be used as a Geocoding reference dataset in an address locator file. Please Note: This roads data layer is Not used in the FDOT ETDM project. This layer is an update to the FGDL layer TIGER_ROADS_2018.U.S. Department of Commerce, U.S. Census Bureau, Geography Division and University of Florida GeoPlan Center.U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch301-763-4636301-763-47104600 Silver Hill Road, Stop 7400WashingtonDC20233-7400UStiger@census.govFlorida2023NONEtransportationboundariesNONELinearFeatureAddress RangeStreet CenterlineRoad FeatureRoadsISO 19115 Topic CategoriesboundariestransportationtransportationboundariesLinearFeatureAddress RangeStreet CenterlineRoad FeatureRoadsboundariestransportationFlorida2023<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The TIGER/Line Shapefile products are not copyrighted however TIGER/Line and Census TIGER are registered trademarks of the U.S. Census Bureau. These products are free to use in a product or publication, however acknowledgement must be given to the U.S. Census Bureau as the source. The horizontal spatial accuracy information present in these files is provided for the purposes of statistical analysis and census operations only. </SPAN></P><P><SPAN>Legal Disclaimer: No warranty, expressed or implied, is made with regard to the accuracy of the data in the TIGER/Line Shapefiles, and no liability is assumed by the United States Government in general, or the Census Bureau specifically, as to the positional or attribute accuracy of the data. The boundary information in the TIGER/Line Shapefiles is for statistical data collection and tabulation purposes only. Their depiction and designation for statistical purposes does not constitute a determination of jurisdictional authority or rights of ownership or entitlement and they are not legal land descriptions. The TIGER/Line Shapefiles may not be suitable for high-precision measurement applications such as engineering problems, property transfers, or other uses that might require highly accurate measurements of the earth's surface. Coordinates in the TIGER/Line shapefiles have six implied decimal places, but the positional accuracy of these coordinates is not as great as the six decimal places suggest.</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.Microsoft Windows Vista Version 6.1 (Build 7601) Service Pack 1; ESRI ArcCatalog 9.3.1.4000true-87.636318-79.87300031.04243424.505970publication date2023-01-01T00:00:002023-10-01T00:00:00---------------------------------------------------------
Please Note: This roads data layer is Not used in the FDOT ETDM project.
---------------------------------------------------------
Tiger Line Shapefiles 2023 Technical Documentation
* https://www2.census.gov/geo/pdfs/maps-data/data/tiger/tgrshp2023/TGRSHP2023_TechDoc.pdf
* https://www2.census.gov/geo/pdfs/reference/mtfccs2022.pdf
1.2 What are TIGER/Line Shapefiles?
The TIGER/Line Shapefiles are the fully supported, core geographic product from the U.S. Census
Bureau. They are extracts of selected geographic and cartographic information from the U.S. Census
Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing
(MAF/TIGER) database. The shapefiles include information for the fifty states, the District of Columbia,
Puerto Rico, and the Island areas (American Samoa, the Commonwealth of the Northern Mariana
Islands, Guam, and the United States Virgin Islands). The shapefiles include polygon boundaries of
geographic areas and features, linear features including roads and hydrography, and point features. They
do not contain any sensitive data.
---------------------------------------------------------
Please Note: This dataset has been formatted so that it may be used as a Geocoding reference
dataset in an address locator file. If you wish to create an address locator using this
roads dataset please read the following Esri ArcGIS documentation:
Creating an address locator (ArcMap 10.6)
http://desktop.arcgis.com/en/arcmap/latest/manage-data/geocoding/creating-an-address-locator.htm
Create a locator (ArcGIS PRO)
http://pro.arcgis.com/en/pro-app/help/data/geocoding/create-a-locator.htm
---------------------------------------------------------1-87.636318-79.87290531.04243424.505968VariesThere may be some inconsistencies in feature names along features. An anomaly
exists with the sporadic occurrence of road segments comprising a complete
chain with different MAF/TIGER Feature Census Class Code (MTFCC) values
assigned. This problem could affect applications that use the MTFCC values for
network analysis, routing, or for assigning symbology to a feature when creating a
map.
The Census Bureau performed automated tests to ensure logical consistency and
limits of shapefiles. Node/geometry and topology relationships are collected or
generated to satisfy topological edit requirements. These requirements include:
(1) Complete chains must begin and end at nodes.
(2) Complete chains must connect to each other at nodes.
(3) Complete chains do not extend through nodes.
(4) Left and right polygons are defined for each complete chain element and are
consistent throughout the extract process.
(5) The chains representing the limits of the files are free of gaps.Data completeness of the TIGER/Line Shapefiles reflects the contents of the
Census MAF/TIGER database at the time the TIGER/Line Shapefiles were created.The Census Bureau uses Global Positioning System (GPS) coordinates at road
centerline intersections to evaluate the horizontal spatial accuracy of source files
that may be used to realign road features in the MAF/TIGER database and test
the horizontal spatial accuracy of the road features in the TIGER/Line Shapefiles.
The test compares a survey-grade GPS coordinate to its associated road
centerline intersection in the TIGER/Line Shapefiles. The test is based on an
independent collection of GPS coordinates for a random sample of road
intersections from a centerline file that meet certain criteria. The points are
referred to as the sample points and are gathered through a private contractor
working for the Census Bureau. Since the collection method uses survey-quality
GPS-based field techniques, the resulting control points are considered 'ground
truth' against which the TIGER road centerline intersection coordinates are
compared. The distances between the coordinates are calculated and the
Census Bureau determines the Circular Error 95% (CE95). That is, the accuracy
of the file in meters with 95% confidence. The CE95 can be calculated from the
mean and standard deviation by using the formula: mean of differences plus
(2.65 times the standard deviation). CE95 results reported for each file tested are
determined using a spreadsheet with embedded statistical formula. The use and
applicability of the spreadsheet and its embedded formula have been verified by
Census Bureau statisticians. The basis of the calculation is the use of the root
mean square error (RSME). This is the method as stated in the U.S. Government's
Federal Geographic Data Committee Standard FGDC-STD-007.3-1998,
Geospatial Positioning Accuracy Standards. Part 3: National Standard for Spatial
Data Accuracy. The results of using this measure of accuracy are in compliance
with Federal Spatial Data requirements. In terms of the Census Bureau application,
the dataset coordinate values are those taken from the centerline file and the
coordinate values from an independent source of higher accuracy are those acquired
through the Census Bureau's contractor.
Please note that the horizontal spatial accuracy, where reported, refers only to the
realigned road features identified as matched to the positionally accurate source
file with that accuracy. It is not the spatial accuracy of the TIGER/Line Shapefile
as a whole.Spatial and Attribute InformationTIGER/Line Shapefiles are extracted from the Census MAF/TIGER database by
nation, state, county, and entity. Census MAF/TIGER data for the nation, state,
county, and entity are then distributed among 67-countywide shapefiles or
1-statewide FGDB for Florida.
Each containing attributes for line, polygon, or landmark geographic data.
2023 TIGER/Line Shapefiles
All legal boundaries and names are as of January 1, 2023. Released November 22, 2023.
Published on December 5th, 2023.
SOURCE: https://www.census.gov/geo/maps-data/data/tiger-line.html2023-11-22T00:00:00U.S. Census BureauWashington, DCU.S. Census BureauGeoPlan Center Process Steps:
GeoPlan downloaded the 2023 Census Bureau's TIGER/Line data for the State
of Florida on January 24th, 2024 from the following FTP site.
ftp2.census.gov/geo/tiger/TGRGDB23/tlgdb_2023_a_12_fl_edges.gdb.zip
tlgdb_2023_a_12_fl_edges.gdb\All_Lines
The Florida Tiger/Line data was downloaded in FGDB format at the statewide level.
The data was originally in the following projection:
North American Datum of 1983, GRS80, Decimal Degrees.
The Statewide layer was reprojected to the FGDL NAD83 HARN Albers projection.
Next a selection was performed on the statewide layer where the field [ROADFLG] = 'Y'
The roadway features were then extracted to create a new statewide roads layer.
Next the following fields were deleted to remove unused fields and decrease the
size of the dataset.
STATEFP, TFIDL, TFIDR, SMID, FEATCAT, HYDROFLG, RAILFLG, ROADFLG,
OLFFLG, EXTTYP, TTYP, ARTPATH, PERSIST, GCSEFLG, OFFSETL,
OFFSETR, TNIDF, and TNIDT.
Next the following fields were added and populated to help standardize the
dataset for use as a reference layer in geocoding.
STPREDIR, STPRETYPE, STNAME, STTYPE, STDIR,
CITYL, CITYR, COUNTY, STATE, and TYPE, GCID,
DESCRIPT, FLAG, and FGDLAQDATE.
Uppercased all fields except the original field FULLNAME.
Please Note: This roads data layer is Not used in the FDOT ETDM project.2024-01-24T00:00:00Kate NorrisUniversity of Florida GeoPlan Center131 Architecture BLDG, PO Box 115706GainesvilleFL32611USdata@fgdl.orghttps://www.fgdl.org/date@fgdl.orgKate NorrisThis 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.01745713TIGER_ROADS_2023TIGER_ROADS_2023USCBFeature Class1745713OBJECTIDInternal feature number.EsriSequential unique whole numbers that are automatically generated.OBJECTIDOID4100ShapeFeature geometry.ESRICoordinates defining the features.SHAPEGeometry800TLIDPermanent edge IDU.S. Census Bureau1000019999999999TLIDDouble8388MTFCCMAF/TIGER feature class code of the primary feature for the edgeU.S. Census BureauS1100Primary RoadU.S. Census BureauS1200Secondary RoadU.S. Census BureauS1400Local Neighborhood Road, Rural Road, City StreetU.S. Census BureauS1500Vehicular Trail (4WD)U.S. Census BureauS1630RampU.S. Census BureauS1640Service Drive usually along a limited access highwayU.S. Census BureauS1710Walkway/Pedestrian TrailU.S. Census BureauS1720StairwayU.S. Census BureauS1730AlleyU.S. Census BureauS1740Private Road for service vehicles (logging, oil, fields, ranches, etc.)U.S. Census BureauS1750Private DrivewayU.S. Census BureauS1780Parking Lot RoadU.S. Census BureauS1820Bike Path or TrailU.S. Census BureauS1830Bridle PathU.S. Census BureauMTFCCString500FULLNAMEConcatenation of expanded text for prefix qualifier, prefix direction, prefix type, base name, suffix type, suffix direction, and suffix qualifier (as available) with a space between each expanded text fieldU.S. Census Bureaudata are unavailableFULLNAMEString10000LFROMADDFrom house number associated with the most inclusive address range on the left side of the edgeU.S. Census Bureaudata are unavailableLFROMADDString1200LTOADDTo house number associated with the most inclusive address range on the left side of the edgeU.S. Census Bureaudata are unavailableLTOADDString1200RFROMADDFrom house number associated with the most inclusive address range on the right side of the edgeU.S. Census Bureaudata are unavailableRFROMADDString1200RTOADDTo house number associated with the most inclusive address range on the right side of the edgeU.S. Census Bureaudata are unavailableRTOADDString1200STPREDIRSTPREDIRString25500Roadway directional prefix. (N, S, E, W, NE, NW, SE, SW)GeoPlanSTPRETYPESTPRETYPEString25500Road name prefix type. Used for county, state and interstate road names, etc.GeoPlanSTNAMESTNAMEString25500Road Name Base (as in 'Smith' in 'N Smith Street').GeoPlanSTTYPESTTYPEString25500Type of road, i.e. St, Ave, Rd, Ln, etc.GeoPlanSTDIRSTDIRString25500Roadway directional suffix. (N, S, E, W, NE, NW, SE, SW)GeoPlanCITYLCity name associated with the most inclusive address range on the left side.GeoPlanCITYLString3500CITYRCity name associated with the most inclusive address range on the right side.GeoPlanCITYRString3500STATESTATEString200State Abbreviation.GeoPlanCOUNTYCounty name of line segment's centroid.GeoPlanCOUNTYString2500ZIPLZIP code associated with the most inclusive address range on the left sideU.S. Census Bureau0050099999ZIPLString500ZIPRZIP code associated with the most inclusive address range on the right sideU.S. Census Bureau0050099999ZIPRString500DIVROADDivided road flagU.S. Census BureauNNot separatedU.S. Census BureauYSeparatedU.S. Census BureauDIVROADString100DECKEDROADDecked road indicatorU.S. Census BureauARail aboveU.S. Census BureauBRail belowU.S. Census BureauHRoad above a different road (allow MTFCCs to vary)U.S. Census BureauNNot DeckedU.S. Census BureauROne road split between several different levels (MTFCC cannot vary)U.S. Census BureauDECKEDROADString100TYPETYPEString5500MTFCC field definitions.
(MAF/TIGER feature class code definitions of the primary feature for the edge).GeoPlanGCIDGCIDInteger4100GeoPlan Center Unique Identification Number.GeoPlanDESCRIPTDESCRIPTBased on the field FULLNAME in uppercase format..
GeoPlanString25500FLAGType of update that occurred for the Geocoding Reference section of the table.GeoPlanFLAGString500FGDLAQDATEThe date GeoPlan acquired the data from the source.GeoPlanFGDLAQDATEDate800AUTOIDAUTOIDInteger410Unique ID added by GeoPlan. This field is for historic tracking of features.0SHAPE.LENSHAPE.LENDouble00Length of feature in internal units0datasetEPSG6.12(9.2.0)14FB3474-EDED-4E04-A14D-5B45DC822CA8/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK
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