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()
# 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)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.