下面是postgres SQL中的一个示例(以公里为单位，为英里版本，将1.609344替换为0.8684版本)

CREATE OR REPLACE FUNCTION public.geodistance(alat float, alng float, blat  

float, blng  float)
  RETURNS float AS
$BODY$
DECLARE
    v_distance float;
BEGIN

    v_distance = asin( sqrt(
            sin(radians(blat-alat)/2)^2 
                + (
                    (sin(radians(blng-alng)/2)^2) *
                    cos(radians(alat)) *
                    cos(radians(blat))
                )
          )
        ) * cast('7926.3352' as float) * cast('1.609344' as float) ;


    RETURN v_distance;
END 
$BODY$
language plpgsql VOLATILE SECURITY DEFINER;
alter function geodistance(alat float, alng float, blat float, blng float)
owner to postgres;

这个脚本[在PHP中]计算两点之间的距离。

public static function getDistanceOfTwoPoints($source, $dest, $unit='K') {
        $lat1 = $source[0];
        $lon1 = $source[1];
        $lat2 = $dest[0];
        $lon2 = $dest[1];

        $theta = $lon1 - $lon2;
        $dist = sin(deg2rad($lat1)) * sin(deg2rad($lat2)) +  cos(deg2rad($lat1)) * cos(deg2rad($lat2)) * cos(deg2rad($theta));
        $dist = acos($dist);
        $dist = rad2deg($dist);
        $miles = $dist * 60 * 1.1515;
        $unit = strtoupper($unit);

        if ($unit == "K") {
            return ($miles * 1.609344);
        }
        else if ($unit == "M")
        {
            return ($miles * 1.609344 * 1000);
        }
        else if ($unit == "N") {
            return ($miles * 0.8684);
        } 
        else {
            return $miles;
        }
    }

如果你正在使用python; PIP安装地质

from geopy.distance import geodesic


origin = (30.172705, 31.526725)  # (latitude, longitude) don't confuse
destination = (30.288281, 31.732326)

print(geodesic(origin, destination).meters)  # 23576.805481751613
print(geodesic(origin, destination).kilometers)  # 23.576805481751613
print(geodesic(origin, destination).miles)  # 14.64994773134371

这是我的java实现计算距离经过一些搜索。我用的是世界平均半径(来自维基百科)，单位是千米。İf你想要的结果英里，然后使用世界半径英里。

public static double distanceLatLong2(double lat1, double lng1, double lat2, double lng2) 
{
  double earthRadius = 6371.0d; // KM: use mile here if you want mile result

  double dLat = toRadian(lat2 - lat1);
  double dLng = toRadian(lng2 - lng1);

  double a = Math.pow(Math.sin(dLat/2), 2)  + 
          Math.cos(toRadian(lat1)) * Math.cos(toRadian(lat2)) * 
          Math.pow(Math.sin(dLng/2), 2);

  double c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1-a));

  return earthRadius * c; // returns result kilometers
}

public static double toRadian(double degrees) 
{
  return (degrees * Math.PI) / 180.0d;
}

//JAVA
    public Double getDistanceBetweenTwoPoints(Double latitude1, Double longitude1, Double latitude2, Double longitude2) {
    final int RADIUS_EARTH = 6371;

    double dLat = getRad(latitude2 - latitude1);
    double dLong = getRad(longitude2 - longitude1);

    double a = Math.sin(dLat / 2) * Math.sin(dLat / 2) + Math.cos(getRad(latitude1)) * Math.cos(getRad(latitude2)) * Math.sin(dLong / 2) * Math.sin(dLong / 2);
    double c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));
    return (RADIUS_EARTH * c) * 1000;
    }

    private Double getRad(Double x) {
    return x * Math.PI / 180;
    }

我在R中做了一个自定义函数，使用R基本包中可用的函数来计算两个空间点之间的距离(km)。

custom_hav_dist <- function(lat1, lon1, lat2, lon2) {
R <- 6371
Radian_factor <- 0.0174533
lat_1 <- (90-lat1)*Radian_factor
lat_2 <- (90-lat2)*Radian_factor
diff_long <-(lon1-lon2)*Radian_factor

distance_in_km <- 6371*acos((cos(lat_1)*cos(lat_2))+ 
                 (sin(lat_1)*sin(lat_2)*cos(diff_long)))
rm(lat1, lon1, lat2, lon2)
return(distance_in_km)
}

样例输出

custom_hav_dist(50.31,19.08,54.14,19.39)
[1] 426.3987

PS:要计算以英里为单位的距离，请将函数R(6371)替换为3958.756(海里使用3440.065)。