有了一个点列表,我如何确定它们是否是顺时针顺序的?
例如:
point[0] = (5,0)
point[1] = (6,4)
point[2] = (4,5)
point[3] = (1,5)
point[4] = (1,0)
会说它是逆时针的(对某些人来说是逆时针的)
有了一个点列表,我如何确定它们是否是顺时针顺序的?
例如:
point[0] = (5,0)
point[1] = (6,4)
point[2] = (4,5)
point[3] = (1,5)
point[4] = (1,0)
会说它是逆时针的(对某些人来说是逆时针的)
当前回答
解决方案R确定方向和反向如果顺时针(发现这是必要的owin对象):
coords <- cbind(x = c(5,6,4,1,1),y = c(0,4,5,5,0))
a <- numeric()
for (i in 1:dim(coords)[1]){
#print(i)
q <- i + 1
if (i == (dim(coords)[1])) q <- 1
out <- ((coords[q,1]) - (coords[i,1])) * ((coords[q,2]) + (coords[i,2]))
a[q] <- out
rm(q,out)
} #end i loop
rm(i)
a <- sum(a) #-ve is anti-clockwise
b <- cbind(x = rev(coords[,1]), y = rev(coords[,2]))
if (a>0) coords <- b #reverses coords if polygon not traced in anti-clockwise direction
其他回答
我将提出另一个解决方案,因为它很简单,不需要大量的数学运算,它只是使用了基本的代数。计算多边形的带符号面积。如果是负的,点是顺时针的,如果是正的,点是逆时针的。(这与Beta的解决方案非常相似。)
计算带符号的面积: A = 1/2 * (x1*y2 - x2*y1 + x2*y3 - x3*y2 +…+ xn*y1 - x1*yn)
或者在伪代码中:
signedArea = 0
for each point in points:
x1 = point[0]
y1 = point[1]
if point is last point
x2 = firstPoint[0]
y2 = firstPoint[1]
else
x2 = nextPoint[0]
y2 = nextPoint[1]
end if
signedArea += (x1 * y2 - x2 * y1)
end for
return signedArea / 2
注意,如果你只是检查顺序,你不需要麻烦除以2。
来源:http://mathworld.wolfram.com/PolygonArea.html
这是我使用其他答案中的解释的解决方案:
def segments(poly):
"""A sequence of (x,y) numeric coordinates pairs """
return zip(poly, poly[1:] + [poly[0]])
def check_clockwise(poly):
clockwise = False
if (sum(x0*y1 - x1*y0 for ((x0, y0), (x1, y1)) in segments(poly))) < 0:
clockwise = not clockwise
return clockwise
poly = [(2,2),(6,2),(6,6),(2,6)]
check_clockwise(poly)
False
poly = [(2, 6), (6, 6), (6, 2), (2, 2)]
check_clockwise(poly)
True
我认为为了使某些点顺时针方向,所有的边都必须是正的而不仅仅是边的和。如果一条边是负的,则逆时针方向给出至少3个点。
下面是一个基于@Beta答案的算法的简单c#实现。
让我们假设我们有一个Vector类型,它的X和Y属性为double类型。
public bool IsClockwise(IList<Vector> vertices)
{
double sum = 0.0;
for (int i = 0; i < vertices.Count; i++) {
Vector v1 = vertices[i];
Vector v2 = vertices[(i + 1) % vertices.Count];
sum += (v2.X - v1.X) * (v2.Y + v1.Y);
}
return sum > 0.0;
}
%是执行模运算的模运算符或余数运算符,该运算符(根据维基百科)在一个数除以另一个数后求余数。
根据@MichelRouzic评论的优化版本:
double sum = 0.0;
Vector v1 = vertices[vertices.Count - 1]; // or vertices[^1] with
// C# 8.0+ and .NET Core
for (int i = 0; i < vertices.Count; i++) {
Vector v2 = vertices[i];
sum += (v2.X - v1.X) * (v2.Y + v1.Y);
v1 = v2;
}
return sum > 0.0;
这不仅节省了模运算%,还节省了数组索引。
测试(参见与@WDUK的讨论)
public static bool IsClockwise(IList<(double X, double Y)> vertices)
{
double sum = 0.0;
var v1 = vertices[^1];
for (int i = 0; i < vertices.Count; i++) {
var v2 = vertices[i];
sum += (v2.X - v1.X) * (v2.Y + v1.Y);
Console.WriteLine($"(({v2.X,2}) - ({v1.X,2})) * (({v2.Y,2}) + ({v1.Y,2})) = {(v2.X - v1.X) * (v2.Y + v1.Y)}");
v1 = v2;
}
Console.WriteLine(sum);
return sum > 0.0;
}
public static void Test()
{
Console.WriteLine(IsClockwise(new[] { (-5.0, -5.0), (-5.0, 5.0), (5.0, 5.0), (5.0, -5.0) }));
// infinity Symbol
//Console.WriteLine(IsClockwise(new[] { (-5.0, -5.0), (-5.0, 5.0), (5.0, -5.0), (5.0, 5.0) }));
}
为了它的价值,我使用这个mixin来计算谷歌Maps API v3应用程序的缠绕顺序。
该代码利用了多边形区域的副作用:顺时针旋转顺序的顶点产生一个正的区域,而逆时针旋转顺序的相同顶点产生一个负的区域。该代码还使用了谷歌Maps几何库中的一种私有API。我觉得使用它很舒服——使用风险自负。
示例用法:
var myPolygon = new google.maps.Polygon({/*options*/});
var isCW = myPolygon.isPathClockwise();
完整的单元测试示例@ http://jsfiddle.net/stevejansen/bq2ec/
/** Mixin to extend the behavior of the Google Maps JS API Polygon type
* to determine if a polygon path has clockwise of counter-clockwise winding order.
*
* Tested against v3.14 of the GMaps API.
*
* @author stevejansen_github@icloud.com
*
* @license http://opensource.org/licenses/MIT
*
* @version 1.0
*
* @mixin
*
* @param {(number|Array|google.maps.MVCArray)} [path] - an optional polygon path; defaults to the first path of the polygon
* @returns {boolean} true if the path is clockwise; false if the path is counter-clockwise
*/
(function() {
var category = 'google.maps.Polygon.isPathClockwise';
// check that the GMaps API was already loaded
if (null == google || null == google.maps || null == google.maps.Polygon) {
console.error(category, 'Google Maps API not found');
return;
}
if (typeof(google.maps.geometry.spherical.computeArea) !== 'function') {
console.error(category, 'Google Maps geometry library not found');
return;
}
if (typeof(google.maps.geometry.spherical.computeSignedArea) !== 'function') {
console.error(category, 'Google Maps geometry library private function computeSignedArea() is missing; this may break this mixin');
}
function isPathClockwise(path) {
var self = this,
isCounterClockwise;
if (null === path)
throw new Error('Path is optional, but cannot be null');
// default to the first path
if (arguments.length === 0)
path = self.getPath();
// support for passing an index number to a path
if (typeof(path) === 'number')
path = self.getPaths().getAt(path);
if (!path instanceof Array && !path instanceof google.maps.MVCArray)
throw new Error('Path must be an Array or MVCArray');
// negative polygon areas have counter-clockwise paths
isCounterClockwise = (google.maps.geometry.spherical.computeSignedArea(path) < 0);
return (!isCounterClockwise);
}
if (typeof(google.maps.Polygon.prototype.isPathClockwise) !== 'function') {
google.maps.Polygon.prototype.isPathClockwise = isPathClockwise;
}
})();