Geodataset Name:       NAVTEQ_MINRDS_OCT09
Geodataset Type:       SHAPEFILE
Geodataset Feature:    Polyline
Feature Count:         1

DATA SOURCE(S):                    NAVTEQ
SCALE OF ORIGINAL SOURCE MAPS:     Unknown
GEODATASET EXTENT:                 State of Florida

PUBLICATION DATE:                  20091001
TIME PERIOD OF CONTENT:            20091001
DOWNLOAD LINK:                     http://www.fgdl.org/metadataexplorer/explorer.jsp

FEATURE ATTRIBUTE TABLES:

Datafile Name: NAVTEQ_MINRDS_OCT09.DBF

FEATURE ATTRIBUTE TABLES CODES AND VALUES:

Item	Item Description
OBJECTID	Internal feature number.
SHAPE	Shape Points - Sets of binary spatial coordinate values representing ESRI geometry objects.
FUNC_CLASS	Functional Class defines the network used to determine a logical and efficient route for a traveler. The Functional Class network is a hierarchical classification of roads based on reality. Density and pattern of each Functional Class level is influenced by the physical road network that exists in reality. Physical road network density variations between countries and between regions within a country are reflected in the Functional Class network. For example, the density of the road network differs between North American and European countries. Even within the U.S., for instance, density will vary from the East Coast to the West Coast. 1 = Roads with very few, if any speed changes, typically controlled access, and provide high volume, maximum speed movement between and through major metropolitan areas. 2 = Roads with very few, if any speed changes, and provide high volume, high speed traffic movement. Typically used to channel traffic to (and from) Level 1 roads. 3 = Roads which interconnect Level 2 roads and provide a high volume of traffic movement at a lower level of mobility than Level 2 roads. 4 = Roads that provide for a high volume of traffic movement at moderate speeds between neighborhoods. 5 = All other roads. NA = Not Applicable
SHAPE.LEN	No description

USER NOTES:

NAVTEQ data contains the most navigable attributes available in a database. Utilizing the data to its fullest allows the user to access Layers such as expressway ramps, complete and correct connectivity of all roadways, one-way streets, physical, logical, and legal turn restrictions, construction projects, as well as physical and painted lane dividers. In addition to these navigable attributes, NAVTEQ data provides address ranges down to the level of the correct side of the street.

NAVTEQ provides 4 levels of street map coverage: Detailed City, Inter-Town, In-Process Data and Connector areas. Detailed City is NAVTEQ's highest level of coverage. This coverage level has the most detail and enables door-to-door routing functionality. Inter-Town coverage includes the main highway network and all the necessary attributes required to allow routing from city to city. Inter-Town links are coded with attributes Detailed City Inclusion = N and In-Process Data = N. For Inter-town links, the Full Geometry attribute flag may be set to either yes or no depending on the presence or lack of surrounding In-Process Data Coverage. In many countries, NAVTEQ has used a commercial source to add local roads to the Inter-Town network. The inclusion of this geometry allows improved map display and guidance. This coverage level is called Full Coverage in the U.S. and Road Network Coverage in Europe. The Connector Specification enables NAVTEQ to maintain minimum coverage in areas prior to completing (full) Detailed City (DC), Inter Town (IT), or In-Process areas. For defining a hierarchical network used to determine a logical and efficient route for a traveler, each NAVTEQ street segment is tagged with a 5 level Functional Class (FC) attribute explained as follows. FC 1: Very long distance routes between major cities - The "highest level" network comprises the FC 1 arterials, which are primarily controlled access highways designed for very-long-distance travel linking major metropolitan areas and cities, FC 2: Primary routes between major and smaller cities and through metro areas, FC 3: Major routes between minor cities or towns, and through city districts, FC 4: Routes connecting minor towns or villages and collecting the local traffic in the city districts, and FC 5: Roads that are not efficient through routes - The "lowest level" and final category is FC 5, which comprises roads not considered to be arterials or transportation corridors.

GeoPlan relied on the integrity of the attribute information within the original data.

NAVTEQ maps provide a highly accurate representation of the detailed road network including hundreds of attributes such as turn restrictions, physical barriers and gates, one-way streets, restricted access and relative road heights. NAVTEQ digital map data offers accuracy, detail, reliability, and flexibility. Continuously updated to maintain its freshness and precision, NAVTEQ digital map data not only enables door-to-door routing it contains millions of Points of Interest (POIs), making it easy to locate everything from restaurants to hospitals and gas stations. NAVTEQ data are found onboard most navigation-enabled vehicles produced around the world and on all the top Internet navigation sites. It is the unseen force behind the leading express mail services, emergency and government routing plans, efficient field service management, as well as numerous fleet operations, worldwide. Plus, it is the foundation for a growing category of wireless, Location Based Services (LBS). NAVTEQ offers digital map coverage in 77 countries on 6 continents. In addition to widely used GIS formats, including ESRI and MapInfo, data are also available in a number of other formats including RDF (Relational Data Format), GDF (Geographic Data Format), SIF+ (Standard Interchange Format), POI XML, and ODF (Oracle Delivery Format). An in-depth description of NAVTEQ datasets, data processing methodology, geometry, attributes, and metadata is provided to NAVTEQ customers through the NAVSTREETS Reference Manual and a number of other supplemental documents. NAVTEQ documentation uses standardized British spelling.

With the most accurate geometry, the highest number of attributes, and the most complete detailed coverage, NAVTEQ data is the ideal resource for Fleet applications that offer route planning and optimization, and GIS geocoding and other applications that require superior accuracy, and location-enabled services, from Personal Navigation Devices (PNDs) and mobile social networking, to location-enabled entertainment, leisure, and business applications. Products, applications, and services that rely on digital mapping data can ensure superior performance and accuracy by using NAVSTREETS. NAVTEQ data drives most in-vehicle navigation systems around the world, the top routing Web sites, and the leading brands of wireless devices. Designed for rapid display and retrieval of attributes for routing, NAVTEQ data additionally provides support for express mail services, emergency and government routing plans, efficient field service management, wireless Location Based Services (LBS), and delivery of real-time traffic information.

The positional accuracy of a given NAVTEQ street segment depends on the value of the Enhanced Geometry (ENH_GEOM) attribute. Links with Enhanced Geometry = Y conform to accuracy requirements of +/-5 meters for absolute position and +/- 1 meter for relative position. The minimum length of any street segment, independent of generalization, is 2 meters/7 feet.

This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan

This data can only be used by NAVTEQ customers, as detailed specifically in NAVTEQ licensing terms and agreements.

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

REFERENCES: DATA LINEAGE SUMMARY:

NAVTEQ's comprehensive data build process ensures the highest quality data available for routing and mapping applications. The process begins with establishing a field office in the new build area. Sources or Base Maps are acquired from a variety of sources including local governments, utility companies, other public agencies, and commercial mapping agencies. These maps are then carefully reviewed and digitized. All base map data is further enhanced with aerial photos and differential GPS to accurately position roads and represent lakes, rivers, railroads, etc., and proprietary software is then used to add navigable information, addresses, and points of interest. NAVTEQ additionally road tests the data to further add to the quality of the database. Field office staff drives the roads and streets to collect and verify new data. Photographs are also taken of overhead signage to ensure that the data accurately reflects the real world. Process Date: NAVTEQ digital map data is built on the roads of the world. Over seven hundred NAVTEQ field researchers from approximately 168 offices drive millions of kilometers of the road network each year. To provide uniformity and maximize precision each team works to a single global specification. And each team has state-of-the-art equipment, including our proprietary GPS-based collection technology and software. Process Date: Unknown NAVSTREETS is a NAVTEQ extraction format. The NAVTEQ data production environment, while not designed to be adopted directly by customers, is designed to insulate customers from data structure changes, additions, and deletions. NAVTEQ uses data extraction formats to "publish" NAVTEQ data externally to its customers, enabling them to process map data into their own production environment. These extraction formats generally have a design that is independent from the NAVTEQ internal production environment, and are not impacted when NAVTEQ modifies parts of the production environment. Extraction formats generally publish the same content, with differences only in the representation of the data. Process Date: Unknown NAVTEQ uses a six-step production process to build its digital road maps: source acquisition, source normalization, geometry development, field data collection, geocoding, and data validation. These steps involve compiling maps, charts and imagery, driving the road network, developing proprietary tools and processes, using hundreds of automated validation tests, and periodically re-driving the roads to ensure the data are as up-to-date as possible. Process Date: Unknown Data validation: NAVTEQ subjects the data to hundreds of automated validation tests to provide accuracy. These tests are complemented by regular reports from the field teams, who periodically re-drive the roads and streets to collect and verify new data, and confirm the accuracy of all information contained in the database. Process Date: Unknown Geocoding: The field and production teams code the one-ways, turn restrictions, postal codes, and other details to every location on the map. Process Date: Unknown Field data collection: Using proprietary tools and processes, NAVTEQ collects everything from road geometry to road attributes, 300 in all, on roads, streets, and highways throughout the world. Proprietary software is used to add navigable information, addresses, and points of interest. Photographs are also taken of overhead signage to ensure that the data accurately reflects the real world. Process Date: Unknown Geometry development: NAVTEQ verifies (and if needed, corrects) the data by bringing together the source material, field data gathered through driving the road network, and additional digital imagery. Base map data is further enhanced with aerial photos and differential GPS to accurately position roads and represent lakes, rivers, railroads, etc. Process Date: Unknown Source normalization: Source maps are carefully reviewed and digitized. The data are normalized and entered into the NAVTEQ database. Process Date: Unknown Source acquisition: The process begins with establishing a field office in the new build area. Source or Base Maps are acquired from a variety of sources including local governments, utility companies, other public agencies, and commercial mapping agencies. These sources of information, in the form of maps, charts, and imagery, provide the basic roadway detail for the new build area. Process Date: Unknown NAVTEQ Data users can help maintain and improve data accuracy by reporting suggested changes to NAVTEQ. Map updates can be submitted through the web based Map Reporter application at http://mapreporter.navteq.com/dur-web-external/. The status of updates can also be checked at this website after submittals. Process Date: Unknown GeoPlan acquired this data from the Florida Department of Transportation in March 2010. When received the data was in Geographic lat/long projection. The data was projected to Albers HPGN. -Added DESCRIPT item based on ST_NAME -Added FGDLAQDATE based on date acquired from source -Changed name from Streets to NAVTEQ_STREETS_OCT09 Process Date: 20100406 FUNC_CLASS = 4 was selected from NAVETQ_SETREETS_OCT09. The selected records were then dissolved using the multipart option. Process Date: 201012

MAP PROJECTION PARAMETERS:

Projection                          ALBERS
Datum                               HPGN
Units                               METERS
Spheroid                            GRS1980
1st Standard Parallel               24  0  0.000
2nd Standard Parallel               31 30  0.000
Central Meridian                   -84 00  0.000
Latitude of Projection's Origin     24  0  0.000
False Easting (meters)              400000.00000
False Northing (meters)             0.00000

DATA SOURCE CONTACT (S):

Name:
Abbr. Name:
Address:


Phone:

Web site:
E-mail:
Contact Person:
         Phone:
        E-mail:

NAVTEQ Technical Customer Support
NAVTEQ
425 W Randolph Street
Chicago, IL
60606
312-894-7000


http://NAVTEQ.com
tcs@navteq.com

Name:                   FLORIDA GEOGRAPHIC DATA LIBRARY
Abbr. Name:             FGDL
Address:                Florida Geographic Data Library
                        431 Architecture Building
                        PO Box 115706
                        Gainesville, FL  32611-5706
Web site:               http://www.fgdl.org

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