Google 全国 地图 纠偏数据 偏移数据 超高精度(0.002) (纠偏、偏移、地图、数据)

特别注明，csv数据文件条数众多，如果使用excel打开请使用office 2007及以上版本，否则显示不全（个人建议使用记事本打开，现在的计算机打开十几MB的文本文件 时间还算可以接受）

取值间隔  每0.01个经纬度一个偏移量总共数据量（9558568）条

数据格式CSV文件  每一个经度一个文件

从73-134总共62个文件  总大小480MB

分成三个最高压缩比的压缩包总共45.1MB

数据介绍  依次为  经度  纬度  此位置偏移像素X,Y（google地图的第18级偏移量，每向上一级除2）

放心此位置经纬度偏移  保留6位小数  定位用足够了

具体转换实力（可以暴露一下我的经纬度）

本人目前所在位置真实经纬度   lat:39.076864 lng:117.091191

对应国内偏移地图的经纬度      lat:39.077956 lng:117.097543

有兴趣的朋友可以看看我在哪里呵呵

说正事

如果是由真实经纬度   例如GPS得到的 lat:39.076864 lng:117.091191

那选择117.09 39.07这条数据"117.09","39.07","1194","-272","0.006405","0.001133"

那么偏移后的经度为117.091191+0.006405=117.097596

那么偏移后的纬度为39.076864+0.001133=39.077997

误差都在可控范围内

由偏移后的经纬度转真实经纬度反向操作就好了，这里假设经纬度的偏移在-0.01到+0.01范围内，google也是这么做的正反转换用的同样数据

还有就是如果单纯是用来  显示地图的时候  纠偏  我建议 不要做转换，就用实际的经纬度  转化为地图像素值，然后  直接加上偏移像素就好了

因为经度变大像素值变大，北半球纬度变大像素变小所以像素偏移为"1194","-272"，偏移数据以后就可以直接用新的像素值画图了，这样可以避开经纬度的转换，少做一次转化  就提高了一些经度，记得用屏幕中心点的经纬度

（精度指的是当时偏移数据的间隔，而不是每条数据的精度，0.01版本可以达到18级5个像素以内的纠偏精度）

低精度版本：    （0.1    精度） 适合个人开发

高精度版本：    （0.01  精度） 适合商业应用

联系方式：QQ:443144476

备注：下面是文中转换用到的数据，提供的数据也都是这个格式

目前已经完成了0.002间隔取值精度的数据，不过数据量太大了，会造成数据库负载增加，不建议应用，除非您的产品对精度要求极高

"LNG","LAT","OFFSET_X","OFFSET_Y","OFFSET_LNG","OFFSET_LAT"

"117.09","38.82","1188","-236","0.006373","0.000986"

"117.09","38.83","1188","-237","0.006373","0.000990"

"117.09","38.84","1188","-238","0.006373","0.000994"

"117.09","38.85","1189","-239","0.006378","0.000998"

"117.09","38.86","1189","-241","0.006378","0.001007"

"117.09","38.87","1189","-242","0.006378","0.001011"

"117.09","38.88","1189","-244","0.006378","0.001019"

"117.09","38.89","1190","-245","0.006384","0.001023"

"117.09","38.90","1190","-246","0.006384","0.001027"

"117.09","38.91","1190","-248","0.006384","0.001035"

"117.09","38.92","1190","-249","0.006384","0.001039"

"117.09","38.93","1191","-251","0.006389","0.001047"

"117.09","38.94","1191","-252","0.006389","0.001051"

"117.09","38.95","1191","-254","0.006389","0.001060"

"117.09","38.96","1191","-255","0.006389","0.001064"

"117.09","38.97","1192","-257","0.006394","0.001072"

"117.09","38.98","1192","-258","0.006394","0.001076"

"117.09","38.99","1192","-260","0.006394","0.001084"

"117.09","39.00","1192","-261","0.006394","0.001088"

"117.09","39.01","1192","-263","0.006394","0.001096"

"117.09","39.02","1193","-264","0.006400","0.001100"

"117.09","39.03","1193","-266","0.006400","0.001108"

"117.09","39.04","1193","-267","0.006400","0.001112"

"117.09","39.05","1193","-269","0.006400","0.001121"

"117.09","39.06","1194","-270","0.006405","0.001125"

"117.09","39.07","1194","-272","0.006405","0.001133"

"117.09","39.08","1194","-273","0.006405","0.001137"

"117.09","39.09","1194","-275","0.006405","0.001145"

"117.09","39.10","1195","-276","0.006410","0.001149"

"117.09","39.11","1195","-278","0.006410","0.001157"

"117.09","39.12","1195","-279","0.006410","0.001161"

"117.09","39.13","1195","-281","0.006410","0.001169"

"117.09","39.14","1196","-282","0.006416","0.001173"

"117.09","39.15","1196","-284","0.006416","0.001181"

"117.09","39.16","1196","-285","0.006416","0.001185"

"117.09","39.17","1196","-287","0.006416","0.001194"

"117.09","39.18","1197","-288","0.006421","0.001198"

"117.09","39.19","1197","-290","0.006421","0.001206"

"117.09","39.20","1197","-291","0.006421","0.001210"

"117.09","39.21","1197","-292","0.006421","0.001214"

"117.09","39.22","1197","-294","0.006421","0.001222"

"117.09","39.23","1198","-295","0.006427","0.001226"

"117.09","39.24","1198","-297","0.006427","0.001234"

"117.09","39.25","1198","-298","0.006427","0.001238"

"117.09","39.26","1198","-299","0.006427","0.001242"

"117.09","39.27","1199","-301","0.006432","0.001250"

 

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