Calculating Distance between two Latitude and Longitude GeoCoordinates

C#Windows Phone-7 Geocoding Latitude Longitude

C# Problem Overview

I'm calculating the distance between two GeoCoordinates. I'm testing my app against 3-4 other apps. When I'm calculating distance, I tend to get an average of 3.3 miles for my calculation whereas other apps are getting 3.5 miles. It's a big difference for the calculation I'm trying to perform. Are there any good class libraries out there for calculating distance? I'm calculating it like this in C#:

public static double Calculate(double sLatitude,double sLongitude, double eLatitude, 
                               double eLongitude)
{
    var radiansOverDegrees = (Math.PI / 180.0);

    var sLatitudeRadians = sLatitude * radiansOverDegrees;
    var sLongitudeRadians = sLongitude * radiansOverDegrees;
    var eLatitudeRadians = eLatitude * radiansOverDegrees;
    var eLongitudeRadians = eLongitude * radiansOverDegrees;

    var dLongitude = eLongitudeRadians - sLongitudeRadians;
    var dLatitude = eLatitudeRadians - sLatitudeRadians;

    var result1 = Math.Pow(Math.Sin(dLatitude / 2.0), 2.0) + 
                  Math.Cos(sLatitudeRadians) * Math.Cos(eLatitudeRadians) * 
                  Math.Pow(Math.Sin(dLongitude / 2.0), 2.0);

    // Using 3956 as the number of miles around the earth
    var result2 = 3956.0 * 2.0 * 
                  Math.Atan2(Math.Sqrt(result1), Math.Sqrt(1.0 - result1));

    return result2;
}

What could I be doing wrong? Should I calculate it in km first and then convert to miles?

C# Solutions

Solution 1 - C#

The GeoCoordinate class (.NET Framework 4 and higher) already has GetDistanceTo method.

var sCoord = new GeoCoordinate(sLatitude, sLongitude);
var eCoord = new GeoCoordinate(eLatitude, eLongitude);

return sCoord.GetDistanceTo(eCoord);

The distance is in meters.

You need to reference System.Device.

Solution 2 - C#

GetDistance is the best solution, but in many cases we can't use this Method (e.g. Universal App)

Pseudocode of the Algorithm to calculate the distance between to coorindates:

 public static double DistanceTo(double lat1, double lon1, double lat2, double lon2, char unit = 'K')
 {
     double rlat1 = Math.PI*lat1/180;
     double rlat2 = Math.PI*lat2/180;
     double theta = lon1 - lon2;
     double rtheta = Math.PI*theta/180;
     double dist =
         Math.Sin(rlat1)*Math.Sin(rlat2) + Math.Cos(rlat1)*
         Math.Cos(rlat2)*Math.Cos(rtheta);
     dist = Math.Acos(dist);
     dist = dist*180/Math.PI;
     dist = dist*60*1.1515;

     switch (unit)
     {
         case 'K': //Kilometers -> default
             return dist*1.609344;
         case 'N': //Nautical Miles 
             return dist*0.8684;
         case 'M': //Miles
             return dist;
     }

     return dist;
 }

Real World C# Implementation, which makes use of an Extension Methods

Usage:

    var distance = new Coordinates(48.672309, 15.695585)
                    .DistanceTo(
                        new Coordinates(48.237867, 16.389477),
                        UnitOfLength.Kilometers
                    );

Implementation:

    public class Coordinates
    {
        public double Latitude { get; private set; }
        public double Longitude { get; private set; }

        public Coordinates(double latitude, double longitude)
        {
            Latitude = latitude;
            Longitude = longitude;
        }
    }
    public static class CoordinatesDistanceExtensions
    {
        public static double DistanceTo(this Coordinates baseCoordinates, Coordinates targetCoordinates)
        {
            return DistanceTo(baseCoordinates, targetCoordinates, UnitOfLength.Kilometers);
        }

        public static double DistanceTo(this Coordinates baseCoordinates, Coordinates targetCoordinates, UnitOfLength unitOfLength)
        {
            var baseRad = Math.PI * baseCoordinates.Latitude / 180;
            var targetRad = Math.PI * targetCoordinates.Latitude/ 180;
            var theta = baseCoordinates.Longitude - targetCoordinates.Longitude;
            var thetaRad = Math.PI * theta / 180;

            double dist =
                Math.Sin(baseRad) * Math.Sin(targetRad) + Math.Cos(baseRad) *
                Math.Cos(targetRad) * Math.Cos(thetaRad);
            dist = Math.Acos(dist);

            dist = dist * 180 / Math.PI;
            dist = dist * 60 * 1.1515;

            return unitOfLength.ConvertFromMiles(dist);
        }
    }

    public class UnitOfLength
    {
        public static UnitOfLength Kilometers = new UnitOfLength(1.609344);
        public static UnitOfLength NauticalMiles = new UnitOfLength(0.8684);
        public static UnitOfLength Miles = new UnitOfLength(1);

        private readonly double _fromMilesFactor;

        private UnitOfLength(double fromMilesFactor)
        {
            _fromMilesFactor = fromMilesFactor;
        }

        public double ConvertFromMiles(double input)
        {
            return input*_fromMilesFactor;
        }
    }

Solution 3 - C#

And here, for those still not satisfied (like me), the original code from .NET-Frameworks GeoCoordinate class, refactored into a standalone method:

public double GetDistance(double longitude, double latitude, double otherLongitude, double otherLatitude)
{
    var d1 = latitude * (Math.PI / 180.0);
    var num1 = longitude * (Math.PI / 180.0);
    var d2 = otherLatitude * (Math.PI / 180.0);
    var num2 = otherLongitude * (Math.PI / 180.0) - num1;
    var d3 = Math.Pow(Math.Sin((d2 - d1) / 2.0), 2.0) + Math.Cos(d1) * Math.Cos(d2) * Math.Pow(Math.Sin(num2 / 2.0), 2.0);
    
    return 6376500.0 * (2.0 * Math.Atan2(Math.Sqrt(d3), Math.Sqrt(1.0 - d3)));
}

Solution 4 - C#

Here is the JavaScript version guys and gals

function distanceTo(lat1, lon1, lat2, lon2, unit) {
      var rlat1 = Math.PI * lat1/180
      var rlat2 = Math.PI * lat2/180
      var rlon1 = Math.PI * lon1/180
      var rlon2 = Math.PI * lon2/180
      var theta = lon1-lon2
      var rtheta = Math.PI * theta/180
      var dist = Math.sin(rlat1) * Math.sin(rlat2) + Math.cos(rlat1) * Math.cos(rlat2) * Math.cos(rtheta);
      dist = Math.acos(dist)
      dist = dist * 180/Math.PI
      dist = dist * 60 * 1.1515
      if (unit=="K") { dist = dist * 1.609344 }
      if (unit=="N") { dist = dist * 0.8684 }
      return dist
}

Solution 5 - C#

For those who are using Xamarin and don't have access to the GeoCoordinate class, you can use the Android Location class instead:

public static double GetDistanceBetweenCoordinates (double lat1, double lng1, double lat2, double lng2) {
			var coords1 = new Location ("");
            coords1.Latitude = lat1;
            coords1.Longitude = lng1;
			var coords2 = new Location ("");
			coords2.Latitude = lat2;
			coords2.Longitude = lng2;
			return coords1.DistanceTo (coords2);
        }

Solution 6 - C#

There's this library GeoCoordinate for these platforms:

Mono
.NET 4.5
.NET Core
Windows Phone 8.x
Universal Windows Platform
Xamarin iOS
Xamarin Android

Installation is done via NuGet:

> PM> Install-Package GeoCoordinate

Usage

GeoCoordinate pin1 = new GeoCoordinate(lat, lng);
GeoCoordinate pin2 = new GeoCoordinate(lat, lng);

double distanceBetween = pin1.GetDistanceTo(pin2);

The distance between the two coordinates, in meters.

Solution 7 - C#

This is an old question, nevertheless the answers did not satisfy me regarding to performance and optimization.

Here my optimized C# variant (distance in km, without variables and redundant calculations, very close to mathematical expression of Haversine Formular https://en.wikipedia.org/wiki/Haversine_formula).

Inspired by: https://rosettacode.org/wiki/Haversine_formula#C.23

public static class Haversine
{
    public static double Calculate(double lat1, double lon1, double lat2, double lon2)
    {
        double rad(double angle) => angle * 0.017453292519943295769236907684886127d; // = angle * Math.Pi / 180.0d
        double havf(double diff) => Math.Pow(Math.Sin(rad(diff) / 2d), 2); // = sin²(diff / 2)
        return 12745.6 * Math.Asin(Math.Sqrt(havf(lat2 - lat1) + Math.Cos(rad(lat1)) * Math.Cos(rad(lat2)) * havf(lon2 - lon1))); // earth radius 6.372,8‬km x 2 = 12745.6
    }
}

Solution 8 - C#

Based on Elliot Wood's function, and if anyone is interested in a C function, this one is working...

#define SIM_Degree_to_Radian(x) ((float)x * 0.017453292F)
#define SIM_PI_VALUE                         (3.14159265359)

float GPS_Distance(float lat1, float lon1, float lat2, float lon2)
{
   float theta;
   float dist;

   theta = lon1 - lon2;

   lat1 = SIM_Degree_to_Radian(lat1);
   lat2 = SIM_Degree_to_Radian(lat2);
   theta = SIM_Degree_to_Radian(theta);

   dist = (sin(lat1) * sin(lat2)) + (cos(lat1) * cos(lat2) * cos(theta));
   dist = acos(dist);

//   dist = dist * 180.0 / SIM_PI_VALUE;
//   dist = dist * 60.0 * 1.1515;
//   /* Convert to km */
//   dist = dist * 1.609344;

   dist *= 6370.693486F;

   return (dist);
}

You may change it to double. It returns the value in km.

Solution 9 - C#

You can use this function :

Source : https://www.geodatasource.com/developers/c-sharp

private double distance(double lat1, double lon1, double lat2, double lon2, char unit) {
  if ((lat1 == lat2) && (lon1 == lon2)) {
    return 0;
  }
  else {
    double theta = lon1 - lon2;
    double dist = Math.Sin(deg2rad(lat1)) * Math.Sin(deg2rad(lat2)) + Math.Cos(deg2rad(lat1)) * Math.Cos(deg2rad(lat2)) * Math.Cos(deg2rad(theta));
    dist = Math.Acos(dist);
    dist = rad2deg(dist);
    dist = dist * 60 * 1.1515;
    if (unit == 'K') {
      dist = dist * 1.609344;
    } else if (unit == 'N') {
      dist = dist * 0.8684;
    }
    return (dist);
  }
}

//:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
//::  This function converts decimal degrees to radians             :::
//:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
private double deg2rad(double deg) {
  return (deg * Math.PI / 180.0);
}

//:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
//::  This function converts radians to decimal degrees             :::
//:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
private double rad2deg(double rad) {
  return (rad / Math.PI * 180.0);
}

Console.WriteLine(distance(32.9697, -96.80322, 29.46786, -98.53506, "M"));
Console.WriteLine(distance(32.9697, -96.80322, 29.46786, -98.53506, "K"));
Console.WriteLine(distance(32.9697, -96.80322, 29.46786, -98.53506, "N"));

Solution 10 - C#

Calculating Distance between Latitude and Longitude points...

        double Lat1 = Convert.ToDouble(latitude);
        double Long1 = Convert.ToDouble(longitude);

        double Lat2 = 30.678;
        double Long2 = 45.786;
        double circumference = 40000.0; // Earth's circumference at the equator in km
        double distance = 0.0;
        double latitude1Rad = DegreesToRadians(Lat1);
        double latititude2Rad = DegreesToRadians(Lat2);
        double longitude1Rad = DegreesToRadians(Long1);
        double longitude2Rad = DegreesToRadians(Long2);
        double logitudeDiff = Math.Abs(longitude1Rad - longitude2Rad);
        if (logitudeDiff > Math.PI)
        {
            logitudeDiff = 2.0 * Math.PI - logitudeDiff;
        }
        double angleCalculation =
            Math.Acos(
              Math.Sin(latititude2Rad) * Math.Sin(latitude1Rad) +
              Math.Cos(latititude2Rad) * Math.Cos(latitude1Rad) * Math.Cos(logitudeDiff));
        distance = circumference * angleCalculation / (2.0 * Math.PI);
        return distance;

Solution 11 - C#

When CPU/math computing power is limited:

There are times (such as in my work) when computing power is scarce (e.g. no floating point processor, working with small microcontrollers) where some trig functions can take an exorbitant amount of CPU time (e.g. 3000+ clock cycles), so when I only need an approximation, especially if if the CPU must not be tied up for a long time, I use this to minimize CPU overhead:

/**------------------------------------------------------------------------
 * \brief  Great Circle distance approximation in km over short distances.
 *
 * Can be off by as much as 10%.
 *
 * approx_distance_in_mi = sqrt(x * x + y * y)
 *
 * where x = 69.1 * (lat2 - lat1)
 * and y = 69.1 * (lon2 - lon1) * cos(lat1/57.3)
 *//*----------------------------------------------------------------------*/
double    ApproximateDisatanceBetweenTwoLatLonsInKm(
                  double lat1, double lon1,
                  double lat2, double lon2
                  ) {
	double  ldRadians, ldCosR, x, y;

	ldRadians = (lat1 / 57.3) * 0.017453292519943295769236907684886;
	ldCosR = cos(ldRadians);
	x = 69.1 * (lat2 - lat1);
	y = 69.1 * (lon2 - lon1) * ldCosR;

	return sqrt(x * x + y * y) * 1.609344;  /* Converts mi to km. */
}

Credit goes to https://github.com/kristianmandrup/geo_vectors/blob/master/Distance%20calc%20notes.txt.

Solution 12 - C#

Try this:

    public double getDistance(GeoCoordinate p1, GeoCoordinate p2)
    {
        double d = p1.Latitude * 0.017453292519943295;
        double num3 = p1.Longitude * 0.017453292519943295;
        double num4 = p2.Latitude * 0.017453292519943295;
        double num5 = p2.Longitude * 0.017453292519943295;
        double num6 = num5 - num3;
        double num7 = num4 - d;
        double num8 = Math.Pow(Math.Sin(num7 / 2.0), 2.0) + ((Math.Cos(d) * Math.Cos(num4)) * Math.Pow(Math.Sin(num6 / 2.0), 2.0));
        double num9 = 2.0 * Math.Atan2(Math.Sqrt(num8), Math.Sqrt(1.0 - num8));
        return (6376500.0 * num9);
    }

Solution 13 - C#

You can use System.device.Location:

System.device.Location.GeoCoordinate gc = new System.device.Location.GeoCoordinate(){
Latitude = yourLatitudePt1,
Longitude = yourLongitudePt1
};

System.device.Location.GeoCoordinate gc2 = new System.device.Location.GeoCoordinate(){
Latitude = yourLatitudePt2,
Longitude = yourLongitudePt2
};

Double distance = gc2.getDistanceTo(gc);

good luck

Content Type	Original Author	Original Content on Stackoverflow
Question	Jason N. Gaylord	View Question on Stackoverflow
Solution 1 - C#	Nigel Sampson	View Answer on Stackoverflow
Solution 2 - C#	David Leitner	View Answer on Stackoverflow
Solution 3 - C#	Marc	View Answer on Stackoverflow
Solution 4 - C#	Elliot Wood	View Answer on Stackoverflow
Solution 5 - C#	Justin	View Answer on Stackoverflow
Solution 6 - C#	A. Morel	View Answer on Stackoverflow
Solution 7 - C#	JanW	View Answer on Stackoverflow
Solution 8 - C#	Santiago Villafuerte	View Answer on Stackoverflow
Solution 9 - C#	Yanga	View Answer on Stackoverflow
Solution 10 - C#	Manish sharma	View Answer on Stackoverflow
Solution 11 - C#	V. Wheeler	View Answer on Stackoverflow
Solution 12 - C#	Hamzeh Soboh	View Answer on Stackoverflow
Solution 13 - C#	Danilo Garro	View Answer on Stackoverflow