sfcentral (version 0.1.0)

st_sd_box: 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 sfg
st_sd_box(.x, centre = NULL, weights = NULL, ...)
# S3 method for sf
st_sd_box(.x, centre = NULL, weights = NULL, ...)
# S3 method for sfc
st_sd_box(.x, centre = NULL, weights = NULL, ...)

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.

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

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)