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  2. Cardinal direction - Wikipedia

    en.wikipedia.org/wiki/Cardinal_direction

    The ordinal directions (also called the intercardinal directions) are northeast (NE), southeast (SE), southwest (SW), and northwest (NW). The intermediate direction of every set of intercardinal and cardinal direction is called a secondary intercardinal direction.

  3. Early world maps - Wikipedia

    en.wikipedia.org/wiki/Early_world_maps

    The Saint-Bélec slab discovered in 1900 by Paul du Châtellier, in Finistère, France, is dated to between 1900 BCE and 1640 BCE.A recent analysis, published in the Bulletin of the French Prehistoric Society, has shown that the slab is a three-dimensional representation of the River Odet valley in Finistère, France.

  4. Overture Maps Foundation - Wikipedia

    en.wikipedia.org/wiki/Overture_Maps_Foundation

    The Overture Maps Foundation is an open data mapping collaboration, launched in mid-December 2022 under the auspices of the Linux Foundation. Its stated mission is "powering current and next-generation map products by creating reliable, easy-to-use, and interoperable open map data." Overture founding members were Amazon, Meta, Microsoft and TomTom.

  5. Map - Wikipedia

    en.wikipedia.org/wiki/Map

    Physical map of Earth Political map of Earth. A map is a symbolic depiction emphasizing relationships between elements of some space, such as objects, regions, or themes.. Many maps are static, fixed to paper or some other durable medium, while others are dynamic or interactive.

  6. Sanborn maps - Wikipedia

    en.wikipedia.org/wiki/Sanborn_maps

    Sanborn maps are detailed maps of U.S. cities and towns in the 19th and 20th centuries. Originally published by The Sanborn Map Company (Sanborn), the maps were created to allow fire insurance companies to assess their total liability in urbanized areas of the United States.

  7. Self-organizing map - Wikipedia

    en.wikipedia.org/wiki/Self-organizing_map

    Self-organizing maps, like most artificial neural networks, operate in two modes: training and mapping. First, training uses an input data set (the "input space") to generate a lower-dimensional representation of the input data (the "map space"). Second, mapping classifies additional input data using the generated map.

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