U.S. Large Area Landmarks.

cover image
  • TomTom North America, Inc
  • Redlands, California, USA : Esri, 2012.
  • Government publication, Map, Dataset -- Geospatial
  • Online

    • Where to find it

    Davis Library — Library Data Services

    Call Number
    Contact Data Services Staff for Appointment
    Status
    Not Available
    Item Note
    2012

    Authors, etc.

    Names:

    Summary

    U.S. Large Area Landmarks represents common landmark areas within the United States including military territories, hospitals, educational institutions, shopping centers, industrial areas, amusement parks, stadiums, golf courses, and cemeteries.

    show more show less

    Other details

    Description:
    1 online resource
    Description Details:
    Data set graphics details: Vector.
    Published:
    Redlands, California, USA : Esri, 2012.
    Language:
    English
    Scale:
    Scale 1:50,000 (-176.810434 -- -65.629050/68.870010 -- 17.989248).
    Data Quality:
    Logical consistency: The shapefile is converted to SDC (Smart Data Compression) format using tools in ArcGIS. The SDC data set is then imported into a file geodatabase to verify, validate, and if needed repair the geometry.
    Horizontal position accuracy: Horizontal positional accuracy is dependent on geographic area. In most areas, accuracy is between 5 and 25 meters (16 and 82 feet). In some areas, accuracy is off by up to several tens of meters (100 feet or more). In the poorest areas, accuracy is off by up to 100 meters (328 feet).
    Other data details: After processing, the data set is checked for drawing display and number of records and file sizes compared with source materials.
    Notes:
    U.S. Large Area Landmarks provides thousands of common landmark areas within the United States. The areas can be used as a cultural layer at local and regional levels. Each landmark is named.
    Largest scale when displaying the data: 1:50,000.
    Publication date.
    Vector digital data.
    Local Notes:
    Location: \usa\landmarks.
    OCLC Number:
    815872904

    MARC View