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        "author": "Nils Ziehn",
        "author_email": "nziehn@gmail.com",
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        "description": "### maptiler ###\n\nEasy interface to created custom sized map tiles for geohashing.\n\n- Plot the result to verify that everything is working correctly\n- Get tiles in the vicinity of a given latitude, longitude\n- You can use the `tile.hash` property for hashing\n- For many applications, it's even better to use `tile.x`, `tile.y` coordinates because you can reconstruct the bounding box from them \n\nImportant: What is different than most other map tiling algorithms: The tiles from maptiler have the same size\n\n- You can specify the tile size when creating the instance\n \n\n```\n    import maptiler.maptiler as mt\n    import maptiler.map_plot as mp\n    \n    out_path = 'mymap.gitign.html'\n    search_point = mt.MapPoint(40.7058254, -74.1180859)\n    search_radius = 500 * 1000\n    square_size = 500 * 1000\n    \n    map_tiler = mt.MapTiler(square_size=square_size)\n    tiles = map_tiler.tiles_for_point(search_point,\n                                      search_radius)\n    \n    # the (x,y) values of the tiles\n    print [(tile.x, tile.y) for tile in tiles]\n    \n    # the hash values of the tiles\n    print [tile.hash for tile in tiles]\n    \n    map = mp.Map(google_api_key='YOUR_GOOGLE_MAPS_JS_API_KEY_HERE')\n    \n    for tile in tiles:\n        rect = mp.MapRect(tile.bounds[0], tile.bounds[2])\n        map.add_entity(rect)\n    \n    map.add_entity(mp.MapCircle(search_point, search_radius))\n    map.add_entity(mp.MapMarker(search_point))\n    \n    map.to_file(out_path, focus=search_point, zoom=4)\n```\n\n![maptiler - image tiles](http://i.imgur.com/W1qvWUF.png)\n\nCode hosted on `GitHub https://github.com/nziehn/maptiler`",
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        "keywords": "python geohash tiles",
        "license": "MIT",
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        "name": "maptiler",
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        "summary": "Allows custom geohash bucket sizes and finding buckets in vicinity of given location",
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