pointSimCSR: simulate completely spatially random point patterns.

In highamm/sptotal: Predicting Totals and Weighted Sums from Spatial Data

simulate completely spatially random point patterns.

Description

simulates a completely spatially random point patterns. This function is only used in simulating data sets.

Usage

pointSimCSR(
  npoints = 100,
  lower_x_lim = 0,
  upper_x_lim = 1,
  lower_y_lim = 0,
  upper_y_lim = 1
)

Arguments

npoints	number of points to add that are completely spatially random (CSR), default = 100
lower_x_lim	left limit of boundary, default = 0
upper_x_lim	right limit of boundary, default = 1
lower_y_lim	lower limit of boundary, default = 0
upper_y_lim	upper limit of boundary, default = 1

Value

data.frame of two columns, x-coordinate in the first, and y-coordinate in the second.

Author(s)

Jay Ver Hoef

highamm/sptotal documentation built on Aug. 12, 2024, 2:04 a.m.