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
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
其他回答
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
一个计算上更简单的方法,如果你已经知道多边形内的一个点:
从原始多边形中选择任意线段,按此顺序选择点及其坐标。 加上一个已知的“内部”点,形成一个三角形。 根据以上三点计算CW或CCW。
另一个解决方案是;
const isClockwise = (vertices=[]) => {
const len = vertices.length;
const sum = vertices.map(({x, y}, index) => {
let nextIndex = index + 1;
if (nextIndex === len) nextIndex = 0;
return {
x1: x,
x2: vertices[nextIndex].x,
y1: x,
y2: vertices[nextIndex].x
}
}).map(({ x1, x2, y1, y2}) => ((x2 - x1) * (y1 + y2))).reduce((a, b) => a + b);
if (sum > -1) return true;
if (sum < 0) return false;
}
把所有的顶点作为一个数组;
const vertices = [{x: 5, y: 0}, {x: 6, y: 4}, {x: 4, y: 5}, {x: 1, y: 5}, {x: 1, y: 0}];
isClockwise(vertices);
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) }));
}
这是OpenLayers 2的实现函数。有一个顺时针多边形的条件是面积< 0,这是由这个参考确定的。
function IsClockwise(feature)
{
if(feature.geometry == null)
return -1;
var vertices = feature.geometry.getVertices();
var area = 0;
for (var i = 0; i < (vertices.length); i++) {
j = (i + 1) % vertices.length;
area += vertices[i].x * vertices[j].y;
area -= vertices[j].x * vertices[i].y;
// console.log(area);
}
return (area < 0);
}