bound: Calculate the approximate boundary of 2D Euclidean data

In ElliotDovers/scampr: Spatially Correlated, Approximate Modelling of Point patterns in R

Calculate the approximate boundary of 2D Euclidean data

Description

Calculate the approximate boundary of 2D Euclidean data

Usage

bound(
  object,
  coord.names = c("x", "y"),
  precision = 1,
  plotting = F,
  encase = NA,
  smoothed = F
)

Arguments

object	Either a data frame containing the spatial locations of each point or a scampr model object. In the latter case the model's data will be used.
coord.names	a vector of length 2 containing character strings describing the column names of the coordinates in any data provided. First coordinate name should refer to the horizontal axis. Will be over-ridden when object is a scampr model.
precision	an integer value that determines the number of decimal places to search through. Controls the precision of the approximate boundary, 1 or 2 should be adequate. The higher (larger) the precision the slower the result is obtained.
plotting	a logical indicating whether the results should be plotted. Helpful for trialing presicion and/or encasing.
encase	a numeric value indicating the amount of encasing of the data should occur. This will essentially add a buffer to the boundary.
smoothed	a logical indicating whether or not the boundary should be smoothed using a Loess' smoother.

Value

a data frame of 2 columns for each coordinate.

Examples

# Get the gorilla nesting data
dat <- gorillas

# Calculate a boundary for the data
bnd <- bound(dat, coord.names = c("x", "y"))

ElliotDovers/scampr documentation built on March 17, 2024, 3:27 p.m.