st_sd_distance {sfcentral}

Standard deviation distance calculator

Description

Calculate the spatial deviaction distance from a points sf dataset.

Usage

st_sd_distance(.x, centre = NULL, weights = NULL, ...)

## S3 method for class 'sfg'
st_sd_distance(.x, centre = NULL, weights = NULL, ...)

## S3 method for class 'sf'
st_sd_distance(.x, centre = NULL, weights = NULL, ...)

## S3 method for class 'sfc'
st_sd_distance(.x, centre = NULL, weights = NULL, ...)

Arguments

.x

sf points 2D or 3D

centre

One central point of class sf, sfc, numeric (length 2), matrix (2 col, 1 row), data.frame (2 col, 1 row), or list (length 2). Default NULL, means a calculation of the st_central_point() from .x localities.

weights

Numeric. Same length as number of points in .x.

...

other parameters for sf::st_distance()

Value

A sf "POLYGON" with atributes:

• radius (standard deviation distance)

• area surrounding,

• perimeter,

• center coordinates,

• weigted indicator if weights were used or not in the calculaton.

Author(s)

Gabriel Gaona

Examples

  requireNamespace("ggplot2", quietly = TRUE)
  library(sf, quietly = TRUE)
  library(ggplot2)
  bbx <- matrix(c(697047,9553483,
                  696158,9560476,
                  700964,9561425,
                  701745,9555358),
                byrow = TRUE,
                ncol = 2)
  bbx <- st_multipoint(bbx)
  bbx <- st_cast(bbx,"POLYGON")
  bbx <- st_sfc(bbx, crs = 31992)
  set.seed(1234)
  points <- st_sf(geometry = st_sample(bbx, 100))
  SDD <- st_sd_distance(points)
  ggplot() +
    geom_sf(data = SDD, fill = NA, color = "darkolivegreen") +
    geom_sf(data = points, color = "steelblue", size = 0.5)