PHP -两个位置之间的距离,接近


PHP - distance between two locations, approach

根据:http://sgowtham.net/ramblings/2009/08/04/php-calculating-distance-between-two-locations-given-their-gps-coordinates/

我要检查两个给定位置之间的距离。

我的疑问是这两种方法中哪一种"更好",为什么是这样?

第一:

<?php
$earth_radius = 3960.00; # in miles
$lat_1 = "47.117828";
$lon_1 = "-88.545625";
$lat_2 = "47.122223";
$lon_2 = "-88.568781";
$delta_lat = $lat_2 - $lat_1 ;
$delta_lon = $lon_2 - $lon_1 ;
# Spherical Law of Cosines
function distance_slc($lat1, $lon1, $lat2, $lon2) {
  global $earth_radius;
  global $delta_lat;
  global $delta_lon;
  $distance  = sin(deg2rad($lat1)) * sin(deg2rad($lat2)) + cos(deg2rad($lat1)) * cos(deg2rad($lat2)) * cos(deg2rad($delta_lon)) ;
  $distance  = acos($distance);
  $distance  = rad2deg($distance);
  $distance  = $distance * 60 * 1.1515;
  $distance  = round($distance, 4);
  return $distance;
}
$slc_distance = distance_slc($lat_1, $lon_1, $lat_2, $lon_2);
?>

第二

<?php
$earth_radius = 3960.00; # in miles
$lat_1 = "47.117828";
$lon_1 = "-88.545625";
$lat_2 = "47.122223";
$lon_2 = "-88.568781";
$delta_lat = $lat_2 - $lat_1 ;
$delta_lon = $lon_2 - $lon_1 ;
function distance_haversine($lat1, $lon1, $lat2, $lon2) {
  global $earth_radius;
  global $delta_lat;
  global $delta_lon;
  $alpha    = $delta_lat/2;
  $beta     = $delta_lon/2;
  $a        = sin(deg2rad($alpha)) * sin(deg2rad($alpha)) + cos(deg2rad($lat1)) * cos(deg2rad($lat2)) * sin(deg2rad($beta)) * sin(deg2rad($beta)) ;
  $c        = asin(min(1, sqrt($a)));
  $distance = 2*$earth_radius * $c;
  $distance = round($distance, 4);
  return $distance;
}
$hav_distance = distance_haversine($lat_1, $lon_1, $lat_2, $lon_2);
?>

余弦定律的计算是基于球形地球;哈弗森是一个伟大的圆计算:考虑到地球是一个椭圆形而不是一个球体,那么哈弗森更准确……Vincenty算法虽然比Haversine算法更精确地计算大圆,但计算速度较慢。余弦计算是一个快速近似值,在短距离内相当准确;哈弗辛在更长的距离上更准确,因为它更合理地近似地球的曲率,尽管它对跨极大圆不是特别准确。

你可以在这里找到一个很好的解释差异