百度地图根据经纬度计算瓦片行列号


本文糅合

https://www.cnblogs.com/xiaozhi_5638/p/4748186.html - [只提供了C语言版本]

https://www.jianshu.com/p/063bee79507a - [无法处理负值经纬度]

 

贴出改版墨卡托转换代码

 1 public class BDMercatorToLonLatAll {
 2     //以下是根据百度地图JavaScript API破解得到 百度坐标<->墨卡托坐标 转换算法
 3     private static double[] array1 = {75, 60, 45, 30, 15, 0};
 4     private static double[] array3 = {12890594.86, 8362377.87, 5591021, 3481989.83, 1678043.12, 0};
 5     private static double[][] array2 = {new double[]{-0.0015702102444, 111320.7020616939, 1704480524535203D, -10338987376042340D, 26112667856603880D, -35149669176653700D, 26595700718403920D, -10725012454188240D, 1800819912950474D, 82.5}
 6             , new double[]{0.0008277824516172526, 111320.7020463578, 647795574.6671607, -4082003173.641316, 10774905663.51142, -15171875531.51559, 12053065338.62167, -5124939663.577472, 913311935.9512032, 67.5}
 7             , new double[]{0.00337398766765, 111320.7020202162, 4481351.045890365, -23393751.19931662, 79682215.47186455, -115964993.2797253, 97236711.15602145, -43661946.33752821, 8477230.501135234, 52.5}
 8             , new double[]{0.00220636496208, 111320.7020209128, 51751.86112841131, 3796837.749470245, 992013.7397791013, -1221952.21711287, 1340652.697009075, -620943.6990984312, 144416.9293806241, 37.5}
 9             , new double[]{-0.0003441963504368392, 111320.7020576856, 278.2353980772752, 2485758.690035394, 6070.750963243378, 54821.18345352118, 9540.606633304236, -2710.55326746645, 1405.483844121726, 22.5}
10             , new double[]{-0.0003218135878613132, 111320.7020701615, 0.00369383431289, 823725.6402795718, 0.46104986909093, 2351.343141331292, 1.58060784298199, 8.77738589078284, 0.37238884252424, 7.45}};
11     private static double[][] array4 = {new double[]{1.410526172116255e-8, 0.00000898305509648872, -1.9939833816331, 200.9824383106796, -187.2403703815547, 91.6087516669843, -23.38765649603339, 2.57121317296198, -0.03801003308653, 17337981.2}
12             , new double[]{-7.435856389565537e-9, 0.000008983055097726239, -0.78625201886289, 96.32687599759846, -1.85204757529826, -59.36935905485877, 47.40033549296737, -16.50741931063887, 2.28786674699375, 10260144.86}
13             , new double[]{-3.030883460898826e-8, 0.00000898305509983578, 0.30071316287616, 59.74293618442277, 7.357984074871, -25.38371002664745, 13.45380521110908, -3.29883767235584, 0.32710905363475, 6856817.37}
14             , new double[]{-1.981981304930552e-8, 0.000008983055099779535, 0.03278182852591, 40.31678527705744, 0.65659298677277, -4.44255534477492, 0.85341911805263, 0.12923347998204, -0.04625736007561, 4482777.06}
15             , new double[]{3.09191371068437e-9, 0.000008983055096812155, 0.00006995724062, 23.10934304144901, -0.00023663490511, -0.6321817810242, -0.00663494467273, 0.03430082397953, -0.00466043876332, 2555164.4}
16             , new double[]{2.890871144776878e-9, 0.000008983055095805407, -3.068298e-8, 7.47137025468032, -0.00000353937994, -0.02145144861037, -0.00001234426596, 0.00010322952773, -0.00000323890364, 826088.5}};
17 
18     public static Map<String, Double> convertLonLatToMC (Double lon, Double lat) {//百度坐标转墨卡托
19         double[] arr = null;
20         double n_lat = lat > 74 ? 74 : lat;
21         n_lat = n_lat < -74 ? -74 : n_lat;
22         for (int i = 0; i < array1.length; i++) {
23             if (lat >= array1[i]) {
24                 arr = array2[i];
25                 break;
26             }
27         }
28         if (arr == null) {
29             for (int i = array1.length - 1; i >= 0; i--) {
30                 if (lat <= -array1[i]) {
31                     arr = array2[i];
32                     break;
33                 }
34             }
35         }
36         return converter(lon, lat, arr);
37     }
38 
39     public static Map<String, Double> convertMCToLonLat (Double x, Double y) {//墨卡托坐标转百度 - Mercator
40         double[] arr = null;
41         for (int i = 0; i < array3.length; i++) {
42             if (Math.abs(y) >= array3[i]) {
43                 arr = array4[i];
44                 break;
45             }
46         }
47         Map<String,Double> location = converter(Math.abs(x), Math.abs(y), arr);
48         location.put("lng",location.get("x"));
49         location.remove("x");
50         location.put("lat",location.get("y"));
51         location.remove("y");
52         return location;
53     }
54 
55     private static Map<String, Double> converter(double x, double y, double[] param) {
56         Double T = param[0] + param[1] * Math.abs(x);
57         Double cC = Math.abs(y) / param[9];
58         Double cF = param[2] + param[3] * cC + param[4] * cC * cC + param[5] * cC * cC * cC + param[6] * cC * cC * cC * cC + param[7] * cC * cC * cC * cC * cC + param[8] * cC * cC * cC * cC * cC * cC;
59         T *= (x < 0 ? -1 : 1);
60         cF *= (y < 0 ? -1 : 1);
61         Map<String, Double> location = new HashMap<String, Double>();
62         location.put("x", T);
63         location.put("y", cF);
64         return location;
65     }
66 }

 

后期传参过程中,将-值改为M即可

 

至于说 https://www.cnblogs.com/xiaozhi_5638/p/4748186.html 第三段话

测试代码如下

 1 double lat = -34.7715d;
 2         double lon = -113.7276d;
 3 
 4         System.out.println("经纬度坐标x--->"+lon);
 5         System.out.println("经纬度坐标y--->"+lat);
 6 
 7         Map<String, Double> stringDoubleMap = BDMercatorToLonLatAll.convertLonLatToMC(lon, lat);
 8         //System.out.println("墨卡托坐标--->"+stringDoubleMap);
 9 
10         Double xMC = stringDoubleMap.get("x");
11         Double yMC = stringDoubleMap.get("y");
12         System.out.println("墨卡托坐标x--->"+xMC);
13         System.out.println("墨卡托坐标y--->"+yMC);
14 
15         //根据百度经纬度计算出来墨卡托坐标后,将结果除以地图分辨率Math.Pow(2,18-zoom)即可得到平面像素坐标,然后将像素坐标除以256分别得到瓦片的行列号。
16 
17         int zoom = 13;
18         System.out.println("地图层级--->"+zoom);
19 
20         double dpi = Math.pow(2, 18 - zoom);
21         System.out.println("地图分辨率--->"+dpi);
22 
23         double xPlanePixelCoordinates = xMC / dpi;
24         double yPlanePixelCoordinates = yMC / dpi;
25         System.out.println("平面像素坐标x--->"+xPlanePixelCoordinates);
26         System.out.println("平面像素坐标y--->"+yPlanePixelCoordinates);
27 
28         int tileImgDpi = 256;
29         System.out.println("瓦片大小--->"+tileImgDpi);
30 
31         double xTile = xPlanePixelCoordinates / tileImgDpi;
32         double yTile = yPlanePixelCoordinates / tileImgDpi;
33         //System.out.println("瓦片行列号x--->"+xTile);
34         //System.out.println("瓦片行列号y--->"+yTile);
35 
36         int xTileI = (int) xTile;
37         int yTileI = (int) yTile;
38         System.out.println("瓦片行列号x--->"+xTileI);
39         System.out.println("瓦片行列号y--->"+yTileI);

 

测试通过。

 


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