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  2. Shortest path problem - Wikipedia

    en.wikipedia.org/wiki/Shortest_path_problem

    Shortest path (A, C, E, D, F) between vertices A and F in the weighted directed graph. In graph theory, the shortest path problem is the problem of finding a path between two vertices (or nodes) in a graph such that the sum of the weights of its constituent edges is minimized.

  3. Restrictions on geographic data in China - Wikipedia

    en.wikipedia.org/wiki/Restrictions_on_geographic...

    The Google Maps street map is offset by 50–500 meters from its satellite imagery. [11] [25] Yahoo! Maps also displayed the street map without major errors when compared to the satellite imagery. [26] MapQuest overlays OpenStreetMap data perfectly as well. [27]

  4. Sanborn maps - Wikipedia

    en.wikipedia.org/wiki/Sanborn_maps

    The Sanborn maps themselves are large-scale lithographed street plans at a scale of 50 feet to one inch (1:600) on 21 by 25 inches (53 by 64 cm) sheets of paper. The maps were published in volumes, bound and then updated until the subsequent volume was produced. Larger cities would be covered by multiple volumes of maps.

  5. Mercator projection - Wikipedia

    en.wikipedia.org/wiki/Mercator_projection

    Joseph Needham, a historian of China, speculated that some star charts of the Chinese Song dynasty may have been built on the Mercator projection; [2] however, this claim was presented without evidence, and astronomical historian Kazuhiko Miyajima concluded using cartometric analysis that these charts used an equirectangular projection instead.

  6. Google Street View coverage - Wikipedia

    en.wikipedia.org/wiki/Google_Street_View_coverage

    The following is a timeline for Google Street View, a technology implemented in Google Maps and Google Earth that provides ground-level interactive panoramas of cities. The service was first introduced in the United States on May 25, 2007, and initially covered only five cities: San Francisco, Las Vegas, Denver, Miami, and New York City.

  7. Choropleth map - Wikipedia

    en.wikipedia.org/wiki/Choropleth_map

    This map of the 2004–2016 U.S. presidential elections uses county districts, a spatially intensive variable (difference in proportion) that is unclassed, and a spectral divergent color progression. Note the continuous gradient legend that reflects the lack of classification. Every choropleth map has a strategy for mapping values to colors.

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