center_mean: Calculate Center Mean Point

In sfdep: Spatial Dependence for Simple Features

Calculate Center Mean Point

Description

Given an sfc object containing points, calculate a measure of central tendency.

Usage

center_mean(geometry, weights = NULL)

center_median(geometry)

euclidean_median(geometry, tolerance = 1e-09)

Arguments

geometry	an sfc object. If a polygon, uses sf::st_point_on_surface().
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 pracma::geo_median().

Details

• 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.

Value

an sfc POINT object

See Also

Other point-pattern: std_distance()

Other point-pattern: std_distance()

Examples

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)
}

sfdep documentation built on Sept. 13, 2024, 5:07 p.m.