我在R中有下一个空间对象。
library(sp)
library(rgeos)
poly1 <- structure(c(-3.25753225, -3.33532866, -3.33503723, -3.35083008,
-3.35420388, -3.407372, -3.391667, -3.254167, -3.248129, -3.25753225,
47.78513433, 47.73738617, 47.73793803, 47.74440261, 47.74004583,
47.803846, 47.866667, 47.866667, 47.806292, 47.78513433),
.Dim = c(10L, 2L), .Dimnames = list(NULL, c("x", "y")))
poly2 <- structure(c(-3.101871, -3.097764, -3.20532, -3.260711, -3.248129,
-3.101871, 47.777041, 47.735975, 47.709087, 47.777982, 47.806292, 47.777041),
.Dim = c(6L, 2L), .Dimnames = list(NULL, c("x", "y")))
sobj <- SpatialPolygons(
list(
Polygons(list(Polygon(poly1)), ID = '1'),
Polygons(list(Polygon(poly2)), ID = '2')),
proj4string = CRS('+proj=merc'))
plot(sobj)
我想获得一个空间对象,其中包含两个多边形共有的边界线,即下一个图像中为绿色的线。
lines <- matrix(c(-3.248129, -3.25753225, 47.806292, 47.78513433), 2, 2)
lobj <- SpatialLines(
list(
Lines(list(Line(lines)), ID = '1')),
proj4string = CRS('+proj=merc'))
plot(lobj, col = 'green', add = TRUE)
lines <- matrix(c(-3.248129, -3.25753225, 47.806292, 47.78513433), 2, 2)
lobj <- SpatialLines(
list(
Lines(list(Line(lines)), ID = '1')),
proj4string = CRS('+proj=merc'))
plot(lobj, col = 'green', add = TRUE)
到目前为止,我已尝试使用gIntersection
包中的rgeos
函数,但它不能满足我的要求。我怎么能得到这个?
答案 0 :(得分:4)
如果您的线条完全重叠,我认为l1 <- SpatialLines(list(Lines(list(Line(rbind(c(1, 1), c(5, 1)))), 1)))
l2 <- SpatialLines(list(Lines(list(Line(rbind(c(3, 1), c(10, 1)))), 1)))
plot(0, 0, ylim = c(0, 2), xlim = c(0, 10), type = "n")
lines(l1, lwd = 2, lty = 2)
lines(l2, lwd = 2, lty = 3)
lines(gIntersection(l1, l2), col = "red", lwd = 2)
将是首选方法。请考虑以下简单示例:
xx <- as(sobj, "SpatialLines")
xx <- gBuffer(xx, width = 1e-5, byid = TRUE)
xx <- gIntersection(xx[1, ], xx[2, ])
plot(sobj)
plot(xx, border = "red", add = TRUE, lwd = 2)
您的问题的一个解决方案,虽然不完美,也许其他人有更好的解决方案,但是会添加一个小缓冲区。
int A, B1, B2, B3, B4, B5;
for (i = 0; i++; i <= 20) {
A=b"i";
}