如何将 kml 多边形几何数据转换为谷歌多边形坐标

Posted 2023-02-24

【中文标题】如何将 kml 多边形几何数据转换为谷歌多边形坐标

【英文标题】：how to convert kml polygons geometry data to google polygon coordinates

【发布时间】：2016-09-11 04:10:34

【问题描述】：

我有一个包含多个多边形的 KML 文件。但我想在谷歌地图上使用这些多边形。但是除了在地图上添加 kml 层外，还有其他方法可以在谷歌地图上获取这些多边形。我有一个这样的 kml 结构

            <Polygon>
            <outerBoundaryIs>
            <LinearRing>
            <coordinates>
            74.217933,21.927974,0.0 74.192401,21.925983,0.0 74.178174,21.9321,0.0 74.164435,
            21.946759,0.0 74.146569,21.952709,0.0 74.143914,21.947538,0.0 74.132601,21.950536,
            0.0 74.051588,21.926869,0.0 74.017921,21.906915,0.0 73.940306,21.870938,0.0 73.915448,
            21.858942,0.0 73.886445,21.854553,0.0 73.872501,21.841586,0.0 73.838791,21.84398,0.0 73.806905,
            21.836495,0.0 73.795757,21.824716,0.0 73.803676,21.820348,0.0 73.80714,21.809796,0.0 73.820618,
            21.809518,0.0 73.827683,21.809372,0.0 73.832522,21.800558,0.0 73.826672,21.798208,0.0 73.827101,
            21.792052,0.0 73.837845,21.789244,0.0 73.829416,21.783746,0.0 73.834614,21.773961,0.0 73.824811,
            21.765365,0.0 73.825474,21.758233,0.0 73.833825,21.754807,0.0 73.836309,21.746688,0.0 73.854042,
            21.734175,0.0 73.867046,21.718145,0.0 73.880933,21.715067,0.0 73.890513,21.697823,0.0 73.894875,
            21.676056,0.0 73.887974,21.65309,0.0 73.860169,21.642183,0.0 73.851173,21.646202,0.0 73.849492,
            21.638522,0.0 73.8385,21.632985,0.0 73.830138,21.64257,0.0 73.824512,21.639684,0.0 73.814003,
            21.644056,0.0 73.812068,21.63986,0.0 73.780725,21.628594,0.0 73.781443,21.618331,0.0 73.799974,
            21.603551,0.0 73.814216,21.600913,0.0 73.834905,21.520264,0.0 73.853244,21.497465,0.0 73.863805,
            21.497775,0.0 73.872545,21.505354,0.0 73.866347,21.506724,0.0 73.864119,21.512335,0.0 73.876908,
            21.512107,0.0 73.878389,21.504621,0.0 73.905265,21.515516,0.0 73.904175,21.524316,0.0 73.917731,
            21.51927,0.0 73.921527,21.525118,0.0 73.927295,21.52499,0.0 73.932321,21.51203,0.0 73.945839,
            21.516515,0.0 73.951749,21.512152,0.0 73.954664,21.54076,0.0 73.9603,21.541543,0.0 73.966245,
            21.521829,0.0 73.982393,21.522285,0.0 73.974727,21.534395,0.0 73.974835,21.543543,0.0 73.98301,
            21.540612,0.0 73.993197,21.543254,0.0 73.997254,21.538695,0.0 74.002372,21.541435,0.0 74.000442,
            21.545559,0.0 74.005804,21.552619,0.0 74.030314,21.545087,0.0 74.037638,21.550482,0.0 74.036571,
            21.545508,0.0 74.04362,21.54239,0.0 74.044572,21.548019,0.0 74.047052,21.544556,0.0 74.053833,
            21.547389,0.0 74.053711,21.5553,0.0 74.053787,21.555772,0.0 74.053811,21.555918,0.0 74.054203,
            21.55773,0.0 74.054949,21.557767,0.0 74.059521,21.565624,0.0 74.072109,21.568334,0.0 74.060284,
            21.57961,0.0 74.053196,21.596951,0.0 74.039321,21.599039,0.0 74.035168,21.622388,0.0 74.052703,
            21.633526,0.0 74.058269,21.62828,0.0 74.068697,21.631812,0.0 74.067451,21.645073,0.0 74.058233,
            21.655136,0.0 74.064248,21.669534,0.0 74.087031,21.671719,0.0 74.093986,21.661162,0.0 74.10084,
            21.659678,0.0 74.099919,21.644633,0.0 74.083675,21.629971,0.0 74.09551,21.604941,0.0 74.099564,
            21.604905,0.0 74.094999,21.621662,0.0 74.105406,21.620227,0.0 74.107536,21.610181,0.0 74.12545,
            21.628568,0.0 74.111203,21.665116,0.0 74.118144,21.676485,0.0 74.146465,21.665937,0.0 74.156023,
            21.673993,0.0 74.200822,21.680146,0.0 74.217933,21.685328,0.0 74.231912,21.689561,0.0 74.266462,
            21.706124,0.0 74.26489,21.697462,0.0 74.272554,21.68755,0.0 74.298756,21.686718,0.0 74.312301,
            21.699125,0.0 74.326192,21.691602,0.0 74.367473,21.692807,0.0 74.385528,21.726404,0.0 74.467352,
            21.732436,0.0 74.468378,21.749132,0.0 74.459832,21.774116,0.0 74.462667,21.78612,0.0 74.484092,
            21.792158,0.0 74.491315,21.779393,0.0 74.501576,21.782545,0.0 74.500208,21.806491,0.0 74.506975,
            21.817289,0.0 74.513637,21.858936,0.0 74.513663,21.877396,0.0 74.51368,21.889811,0.0 74.522749,
            21.89911,0.0 74.524199,21.911394,0.0 74.50982,21.919968,0.0 74.512741,21.932346,0.0 74.509109,
            21.936911,0.0 74.486995,21.943298,0.0 74.490625,21.950687,0.0 74.480305,21.958732,0.0 74.469639,
            21.96187,0.0 74.457396,21.959208,0.0 74.446213,21.967608,0.0 74.434266,21.999017,0.0 74.452246,
            22.004736,0.0 74.443634,22.011152,0.0 74.438996,22.021142,0.0 74.443756,22.022793,0.0 74.438797,
            22.025297,0.0 74.431772,22.03024,0.0 74.387504,22.020222,0.0 74.375784,22.000424,0.0 74.3445,
            21.974979,0.0 74.307772,21.971813,0.0 74.296481,21.962447,0.0 74.290943,21.942557,0.0 74.281505,
            21.932913,0.0 74.217933,21.927974,0.0
            </coordinates>
            </LinearRing>
            </outerBoundaryIs>
            </Polygon>

我希望它看起来像这样，以便在地图 api 中使用

             var polypoints = [         
              lat:19.135375992895, lng:73.4651621426548, 
              lat:19.136223, lng:73.466679, 
              lat:19.134651, lng:73.475435, 
              lat:19.123618, lng:73.485494, 
              lat:19.129928, lng:73.490183, 
              lat:19.129584, lng:73.525777, 
              lat:19.127386, lng:73.534734, 
              lat:19.118468, lng:73.54187, 
              lat:19.140901, lng:73.545559, 
              lat:19.148871, lng:73.53763, 
              lat:19.146312, lng:73.533552, 
              lat:19.156782, lng:73.530371, 
              lat:19.159095, lng:73.54211, 
              lat:19.17804, lng:73.53518, 
              lat:19.175427, lng:73.544162,
              lat:19.185196, lng:73.544325, 
              lat:19.183185, lng:73.565055, 
              lat:19.188709, lng:73.565395, 
              lat:19.192421, lng:73.575895, 
              lat:19.188721, lng:73.583836, 
              lat:19.19424, lng:73.596896, 
              lat:19.193097, lng:73.608924, 
              lat:19.1994380820247, lng:73.6099695718475, 
              lat:19.21112, lng:73.611896, 
              lat:19.216131, lng:73.622976, 
              lat:19.205074, lng:73.631254, 
              lat:19.218492, lng:73.643544, 
              lat:19.240521, lng:73.662225, 
              lat:19.238587, lng:73.672536, 
              lat:19.242568, lng:73.685665, 
              lat:19.251789, lng:73.69392, 
              lat:19.26913, lng:73.690388, 
              lat:19.291075, lng:73.668081, 
              lat:19.302024, lng:73.672406, 
              lat:19.304008, lng:73.681705, 
              lat:19.310702, lng:73.684406, 
              lat:19.324347, lng:73.706757, 
              lat:19.335062, lng:73.742001,
              lat:19.335283, lng:73.748165, 
              lat:19.323247, lng:73.742947, 
              lat:19.330931, lng:73.773929, 
              lat:19.341891, lng:73.773059, 
              lat:19.336424, lng:73.77772, 
              lat:19.337174, lng:73.789155, 
              lat:19.33064, lng:73.795471
                    ];
                    var poly11 = new google.maps.Polygon(paths: polypoints);

我有 350 公里多边形几何

如何解析这些记录或转换这些文件

【问题讨论】：

为什么这被否决了？我其实也很好奇这个，只是偶然发现。

是的，这里也一样。我赞成这个问题。

【参考方案1】：

一种选择是使用第三方 KML 解析器（如 geoxml3 或 geoxml-v3），该解析器使用原生 Google Maps javascript API v3 对象呈现 KML。请注意，这些第三方解析器受到 XmlHttpRequest 的相同域限制，因此 KML 必须与网页位于同一域中或通过代理提供。

example using geoxml3（以及相关问题中的 KML：How to identify placemark id of kml layer from given latitude and longitude is present inside that placemark）

【参考方案2】：

您只需使用任何代码编辑器（例如 Visual Studio 代码）打开 .kml 文件，然后只需选择每个 -7 并在其前面添加 lng:，然后选择每个 21. 并在其前面添加 @987654324 @ 并在最后添加 ,。对于这项任务，最好使用像command D 这样的快捷方式来选择每个匹配的值，只需使用代码编辑器工具，您就会找到获得所需内容的方法。

【讨论】：

这是一个非常古老的问题。当时我使用了notepad++中的正则表达式并取了所有的多边形。