View source: R/point-pattern-centers.R
center_mean | R Documentation |
Given an sfc object containing points, calculate a measure of central tendency.
center_mean(geometry, weights = NULL)
center_median(geometry)
euclidean_median(geometry, tolerance = 1e-09)
geometry |
an sfc object. If a polygon, uses |
weights |
an optional vector of weights to apply to the coordinates before calculation. |
tolerance |
a tolerance level to terminate the process. This is passed to |
center_mean()
calculates the mean center of a point pattern
euclidean_median()
calculates the euclidean median center of a point pattern using the pracma
package
center_median()
calculates the median center it is recommended to use the euclidean median over the this function.
an sfc POINT object
Other point-pattern:
std_distance()
Other point-pattern:
std_distance()
if (requireNamespace("pracma")) {
# Make a grid to sample from
grd <- sf::st_make_grid(n = c(1, 1), cellsize = c(100, 100), offset = c(0,0))
# sample 100 points
pnts <- sf::st_sample(grd, 100)
cm <- center_mean(pnts)
em <- euclidean_median(pnts)
cmed <- center_median(pnts)
plot(pnts)
plot(cm, col = "red", add = TRUE)
plot(em, col = "blue", add = TRUE)
plot(cmed, col = "green", add = TRUE)
}
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