Jas*_*ord 126 c# geocoding latitude-longitude windows-phone-7
我正在计算两个GeoCoordinates之间的距离.我正在针对其他3-4个应用测试我的应用.当我计算距离时,我计算得到的平均值为3.3英里,而其他应用程序的距离为3.5英里.这与我正在尝试执行的计算有很大不同.有没有好的类库来计算距离?我在C#中计算它是这样的:
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;
}
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我能做错什么?我应该先以km为单位计算,然后转换为里程?
Nig*_*son 294
该会有地理座标类(.NET框架4和更高)已经有GetDistanceTo方法.
var sCoord = new GeoCoordinate(sLatitude, sLongitude);
var eCoord = new GeoCoordinate(eLatitude, eLongitude);
return sCoord.GetDistanceTo(eCoord);
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距离以米为单位.
您需要引用System.Device.
Dav*_*ner 98
GetDistance是最好的解决方案,但在很多情况下我们无法使用此方法(例如通用应用程序)
用于计算 coorindates之间距离的算法的伪代码:
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;
}
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用法:
var distance = new Coordinates(48.672309, 15.695585)
.DistanceTo(
new Coordinates(48.237867, 16.389477),
UnitOfLength.Kilometers
);
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执行:
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;
}
}
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这是JavaScript版本的男人和女孩
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
}
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Mar*_*arc 13
在这里,对于那些仍然不满意的人,.NET-Frameworks GeoCoordinate类中的原始代码被重构为一个独立的方法:
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)));
}
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Jus*_*tin 10
对于那些使用Xamarin并且无法访问GeoCoordinate类的人,可以使用Android Location类:
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);
}
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Jan*_*anW 10
这是一个老问题,但在性能和优化方面,答案并不能令我满意。
\n\n这是我优化的 C# 变体(距离以公里为单位,没有变量和冗余计算,非常接近半正弦公式的数学表达式https://en.wikipedia.org/wiki/Haversine_formula)。
\n\n灵感来源:\n https://rosettacode.org/wiki/Haversine_formula#C.23
\n\npublic static class Haversine\n{\n public static double Calculate(double lat1, double lon1, double lat2, double lon2)\n {\n double rad(double angle) => angle * 0.017453292519943295769236907684886127d; // = angle * Math.Pi / 180.0d\n double havf(double diff) => Math.Pow(Math.Sin(rad(diff) / 2d), 2); // = sin\xc2\xb2(diff / 2)\n return 12745.6 * Math.Asin(Math.Sqrt(havf(lat2 - lat1) + Math.Cos(rad(lat1)) * Math.Cos(rad(lat2)) * havf(lon2 - lon1))); // earth radius 6.372,8\xe2\x80\xackm x 2 = 12745.6\n }\n}\nRun Code Online (Sandbox Code Playgroud)\n\n\n
有适用于这些平台的地理坐标库:
安装是通过 NuGet 完成的:
PM> 安装包 GeoCoordinate
用法
GeoCoordinate pin1 = new GeoCoordinate(lat, lng);
GeoCoordinate pin2 = new GeoCoordinate(lat, lng);
double distanceBetween = pin1.GetDistanceTo(pin2);
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两个坐标之间的距离,以米为单位。
当CPU/数学计算能力有限时:
有时(例如在我的工作中)计算能力稀缺(例如没有浮点处理器,使用小型微控制器),某些三角函数可能会占用大量 CPU 时间(例如 3000+ 时钟周期),所以当我只需要一个近似值,特别是如果 CPU 不能长时间占用的话,我用它来最小化 CPU 开销:
/**------------------------------------------------------------------------
* \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. */
}
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信用转到https://github.com/kristianmandrup/geo_vectors/blob/master/Distance%20calc%20notes.txt。
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