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  2. Choropleth map - Wikipedia

    en.wikipedia.org/wiki/Choropleth_map

    A classified choropleth map separates the range of values into classes, with all of the districts in each class being assigned the same color. An unclassed map (sometimes called n-class) directly assigns a color proportional to the value of each district. Starting with Dupin's 1826 map, classified choropleth maps have been far more common. [2]

  3. 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.

  4. MapReduce - Wikipedia

    en.wikipedia.org/wiki/MapReduce

    MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel, distributed algorithm on a cluster. [1] [2] [3]A MapReduce program is composed of a map procedure, which performs filtering and sorting (such as sorting students by first name into queues, one queue for each name), and a reduce method, which performs a summary ...

  5. 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.

  6. Google Map Maker - Wikipedia

    en.wikipedia.org/wiki/Google_map_maker

    Google Map Maker was a map editing service launched by Google in June 2008. [2] In geographies where it is hard to find providers of good map data, user contributions were used to increase map quality.

  7. Google Street View in Canada - Wikipedia

    en.wikipedia.org/wiki/Google_Street_View_in_Canada

    Google responded by agreeing to respect privacy laws in Canada and other countries. [13] Ultimately, Google agreed to blur faces and license plates that appeared in images taken. Google has since done the same in other countries, including the United States, regardless of whether or not it is legally compelled to do so. [14]

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