Populated places, 5,000 to 99,999 inhabitants (1:7,500,000)

Metadata also available as

Frequently-anticipated questions:

What does this data set describe?
    Title: Populated places, 5,000 to 99,999 inhabitants (1:7,500,000)
    Abstract:
    This dataset is a selection of points from the Atlas of Canada 1:7.5 million populated places dataset. The Atlas of Canada data provide coverage of all of Canada. The Atlas of Canada Base Maps provides coverage of the entire Canadian landmass. Data elements are feature coded and structurally clean. Base map components are available in five scales and a number of data exchange formats. The 1:2 million and 1:7.5 million scales are the primary bases for all Atlas products. The 1:30 million scale data have been generalized from the two larger scales. The data set covers: drainage - coastlines, rivers, lakes; boundaries - federal, provincial, district, dividing lines; transportation - primary and secondary highways, selected ferry routes, rail networks; populated places; and national parks. Atlas information is two-dimensional layered vector data. Access to information regarding these datasets and the capability to download images and data files, free of charge, is available through <http://geogratis.cgdi.gc.ca/frames.html>.

  1. How should this data set be cited?

    Government of Canada, Natural Resources Canada, Canada Centre, 2003, Populated places, 5,000 to 99,999 inhabitants (1:7,500,000): Government of Canada, Ottawa, Ontario, Canada.

    Online Links:

    Other_Citation_Details:
    This dataset is from The Atlas of Canada Base Maps and was modified for use in the Atlas of Canada's Intact Forest Landscapes (Global Forest Watch, 2003).
    This is part of the following larger work.

    Global Forest Watch Canada, and Institute, World Resources , September 2003, Atlas of Canada's Large Intact Forest Landscapes: Global Forest Watch, Ottawa, Ontario, Canada.

    Online Links:

    Other_Citation_Details:
    Authors: Peter Lee (Global Forest Watch Canada), Dmitry Aksenov (Socio-Ecological Union International), Lars Laestadius (World Resources Institute), Ruth Nogueron (World Resources Institute), and Wynet Smith (Global Forest Watch Canada)

  2. What geographic area does the data set cover?

    West_Bounding_Coordinate: -127.848632
    East_Bounding_Coordinate: -60.155387
    North_Bounding_Coordinate: 56.910989
    South_Bounding_Coordinate: 37.277710

  3. What does it look like?

  4. Does the data set describe conditions during a particular time period?

    Beginning_Date: 1985
    Ending_Date: Present
    Currentness_Reference: ground condition

  5. What is the general form of this data set?

    Geospatial_Data_Presentation_Form: vector digital data

  6. How does the data set represent geographic features?

    1. How are geographic features stored in the data set?

      This is a Vector data set. It contains the following vector data types (SDTS terminology):

      • Entity point (32)

    2. What coordinate system is used to represent geographic features?

      The map projection used is Lambert Conformal Conic.

      Projection parameters:
      Standard_Parallel: 49.000000
      Standard_Parallel: 77.000000
      Longitude_of_Central_Meridian: -95.000000
      Latitude_of_Projection_Origin: 49.000000
      False_Easting: 0.000000
      False_Northing: 0.000000

      Planar coordinates are encoded using coordinate pair
      Abscissae (x-coordinates) are specified to the nearest 0.008192
      Ordinates (y-coordinates) are specified to the nearest 0.008192
      Planar coordinates are specified in meters

      The horizontal datum used is D_Clarke_1866.
      The ellipsoid used is Clarke 1866.
      The semi-major axis of the ellipsoid used is 6378206.400000.
      The flattening of the ellipsoid used is 1/294.978698.

  7. How does the data set describe geographic features?

    7_5mln-fine_-_5_000__to__99_999_inhabitants

    FID
    Internal feature number. (Source: ESRI)

    Sequential unique whole numbers that are automatically generated.

    Shape
    Feature geometry. (Source: ESRI)

    Coordinates defining the features.

    AREA

    PERIMETER

    POPPLACEG_

    POPPLACEG1

    UNIQUE_KEY

    NAME

    NAME_E
    Name (English)

    NAME_F
    Name (French)

    UNIQUE_K_1

    UNIQUE_K_2

    REG_CODE

    NTS50

    LAT

    LONG

    SGC_CODE

    CAPITAL
    Provincial or national capital (Y or N)

    POP_RANGE

    POLYGONID

    SCALE

    ANGLE

    Disp
    1 = high display priority

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)

  2. Who also contributed to the data set?

  3. To whom should users address questions about the data?

    Government of Canada, Natural Resources Canada, Canada Centre for Remote Sensing, GeoAccess Division
    c/o GeoGratis Client Services
    615 Booth Street, Room 650
    Ottawa, Ontario K1A 0E9
    Canada

    +01-613-947-2410 (FAX)
    info@geogratis.cgdi.gc.ca

Why was the data set created?
This set of base maps was originally prepared in an analogue form for the production of the National Atlas 5th edition. They were used as base maps to overlay the thematic information used in the preparation of Atlas maps. The digital versions were derived from the original base maps in order to complete the 5th edition of the national atlas. They are the official bases used by the Atlas of Canada for the production of all their maps.

How was the data set created?
  1. From what previous works were the data drawn?

    (source 1 of 1)
    Source_Scale_Denominator: 7,500,000

  2. How were the data generated, processed, and modified?

    (process 1 of 3)
    Clipped to study area of Atlas of Canada's Intact Forest Landscapes.

    (process 2 of 3)
    Reprojected to Lambert Conformal Conic.

    (process 3 of 3)
    Selected cities with 5,000 to 99,999 inhabitants were selected from the full Atlas of Canada 1:7,500,000 dataset.

  3. What similar or related data should the user be aware of?

How reliable are the data; what problems remain in the data set?
  1. How well have the observations been checked?

  2. How accurate are the geographic locations?

  3. How accurate are the heights or depths?

  4. Where are the gaps in the data? What is missing?

  5. How consistent are the relationships among the observations, including topology?

How can someone get a copy of the data set?
Are there legal restrictions on access or use of the data?

Access_Constraints: None
Use_Constraints:
Licensing information located at <http://geogratis.cgdi.gc.ca/e_license.html>

  1. Who distributes the data set? (Distributor 1 of 1)

    GeoGratis Client Services
    Government of Canada, Natural Resources Canada, Canada Centre for Remote Sensing, GeoAccess Division
    615 Booth Street, Room 650
    Ottawa, Ontario K1A 0E9
    Canada

    +01-613-947-2410 (FAX)
    info@geogratis.cgdi.gc.ca

  2. What's the catalog number I need to order this data set?

    Downloadable Data

  3. What legal disclaimers am I supposed to read?

  4. How can I download or order the data?

Who wrote the metadata?
Dates:
Last modified: 13-Sep-2003

Metadata author:
Susan Minnemeyer
Global Forest Watch
World Resources Institute
Washington, DC 20002
USA

202-729-7600 (voice)
202-729-7686 (FAX)
info@gfw.org

Metadata standard:
FGDC Content Standards for Digital Geospatial Metadata (FGDC-STD-001-1998)

Metadata extensions used:

Generated by mp version 2.7.33 on Wed Sep 17 15:46:51 2003