densify | R Documentation |
A wrapper for smooth(x, method = "densify")
. This function adds additional
vertices to spatial feature via linear interpolation, always while keeping
the original vertices. Each line segment will be split into equal length
sub-segments. This densification algorithm treats all vertices as Euclidean
points, i.e. new points will not fall on a great circle between existing
vertices, rather they'll be along a straight line.
densify(x, n = 10L, max_distance)
x |
spatial features; lines or polygons from either the |
n |
integer; number of times to split each line segment. Ignored if
|
max_distance |
numeric; the maximum distance between vertices in the resulting matrix. This is the Euclidean distance and not the great circle distance. |
A densified polygon or line in the same format as the input data.
library(sf)
l <- jagged_lines$geometry[[2]]
l_dense <- densify(l, n = 2)
plot(l, lwd = 5)
plot(l_dense, col = "red", lwd = 2, lty = 2, add = TRUE)
plot(l_dense %>% st_cast("MULTIPOINT"), col = "red", pch = 19,
add = TRUE)
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