I’ve been doing some spatial stuff of late and the next little step will involve intersecting points with possibly many overlapping polygons. The sp package has a function called over which returns the polygons that points intersects with. The catch though, is that it only returns the last (highest numerical value) polygon a point overlaps with. So it’s not so useful if you have many overlapping polygons. A little playing, and I’ve overcome that problem…
Here’s a toy example.
Create a couple of polygons and put them into a SpatialPolygons object.
library(sp) p1 <- matrix(c(1,1, 2,1, 4,2, 3,2), ncol = 2, byrow = TRUE) p2 <- matrix(c(2.2,1, 3,1, 3,2, 3,3, 2.8,3), ncol = 2, byrow = TRUE) p1s <- Polygons(list(Polygon(p1)), 3) p2s <- Polygons(list(Polygon(p2)), 4) sps <- SpatialPolygons(list(p1s, p2s))
Define a few points and put them in a SpatialPoints object
point <- matrix(c(2.5, 1.5, 3.2, 1.75, 2,3, 1.5, 1.25, 2.75, 2.5), ncol = 2, byrow = TRUE) points <- SpatialPoints(point)
We can plot them…(not shown)
plot(sps, border = c("black", "blue")) plot(points, add = TRUE)
As here we have the issue:
1 2 3 4 5 2 1 NA 1 2
only returning a single “hit” per point (point 1 overlaps with both polygons 1 and 2).
To get around this, we can rip the individual polygons out of the SpatialPolygons object and put them in a list, converting the individual polygons into SpatialPolygons along the way:
sps2 <- lapply([email protected], function(x) SpatialPolygons(list(x)))
Then lapply-ing over sps2 we can see which polygons each point intersects…
lapply(sps2, function(x) over(points, x))
[] 1 2 3 4 5 1 1 NA 1 NA [] 1 2 3 4 5 1 NA NA NA 1
And now we see that point one overlaps with both polygons.