st_sd_box {sfcentral}

Standard deviation box calculator in 2D or 3D

Description

Calculate the spatial deviaction box from a points sf dataset. #' @author Gabriel Gaona

Usage

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

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

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

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

Arguments

.x

sf points 2D or 3D

centre

Numeric. Coordinates 2D or 3D of central point. Default NULL, performs a calculation of mean_centre() from point localities

weights

Numeric. Same length of number of .x.

...

ignored

Value

Depends on input, "coords" returns a data.frame of 2 or 3 columns and 4 or 8 point coordinates. "param" returns a data.frame with centre coordinates, standard deviation in each axis, space(area for 2D, volume for 3D) and number of dimensions in coordinates.

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))
 SD_BOX <- st_sd_box(points)
 ggplot() +
   geom_sf(data = SD_BOX, fill = NA, color = "darkolivegreen") +
   geom_sf(data = points, color = "steelblue", size = 0.5)