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  2. GeoGuessr - Wikipedia

    en.wikipedia.org/wiki/GeoGuessr

    The "classic" GeoGuessr game mode consists of five rounds, each displaying a different street view location for the player to guess on a map. The player then receives a score of up to 5,000 points depending on how accurate their guess was, up to 25,000 points for a perfect game.

  3. List of GIS data sources - Wikipedia

    en.wikipedia.org/wiki/List_of_GIS_data_sources

    Global Map: Provides consistent coverage of all the Earth's land cover area. Includes different thematic maps such as: transportation, elevation, drainage, vegetation, administrative boundaries, land cover, population centres, and land use. Registration required. [2] FABDEM

  4. Land use capability map - Wikipedia

    en.wikipedia.org/wiki/Land_use_capability_map

    Land use capability maps are maps created to represent the potential uses of a "unit" of land. They are measured using various indicators, although the most common are five physical factors ( rock type , soil type , slope, erosion degree and type, and vegetation).

  5. Generic Mapping Tools - Wikipedia

    en.wikipedia.org/wiki/Generic_Mapping_Tools

    "planiglobe - online vector map creation". Kiel, Germany: kk+w - digitale kartografie GmbH. September 2, 2008. Archived from the original on February 4, 2012 Interactive online map generation using GMT. Phillips, Doug (September 11, 2003). "GMT (Generic Mapping Tools)". Calgary, Alberta, Canada: University of Calgary

  6. CLUE model - Wikipedia

    en.wikipedia.org/wiki/CLUE_model

    Information flow in the CLUE-S /Dyna-CLUE model (overview) [9] The Dyna-CLUE (dynamic conversion of land use and its effects) model is the adapted version of CLUE-S model, built upon the combination of the top-down approach of spatial allocation of land-use change and bottom-up approach of specification of conversions for specific land-use alterations.

  7. Land cover maps - Wikipedia

    en.wikipedia.org/wiki/Land_cover_maps

    A supervised classification is a system of classification in which the user builds a series of randomly generated training datasets or spectral signatures representing different land-use and land-cover (LULC) classes and applies these datasets in machine learning models to predict and spatially classify LULC patterns and evaluate classification accuracies.

  8. Wikipedia:WikiProject Maps - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:WikiProject_Maps

    The aim of WikiProject Maps is to improve the quality of maps across the Wikimedia Foundation. The Maps for Wikipedia page is an overview of different formats and tools for maps available on Wikipedia. The Map conventions page provides advice for creating and improving maps. The Map workshop page can be used to add your map requests and your ...

  9. File:CAN AB 0070 Cochrane TOWN Map - Clean.svg - Wikipedia

    en.wikipedia.org/wiki/File:CAN_AB_0070_Cochrane...

    English: Automatically generated series of street maps depicting Alberta urban communities. Municipal boundaries: AltaLIS open data accessed May 25, 2019. Road network: Statistics Canada NRN 2018.