meanNeighbors: Mean number of neighbors for different neighborhood sizes

In adalardo/Rppsp: R functions to manage permanent plot data (short line)

Mean number of neighbors for different neighborhood sizes

Description

Calculate mean number of neighbors as a function of distances from each point

Usage

meanNeighbors(
  x,
  y,
  xlim = c(0, 1),
  ylim = c(0, 1),
  rMax = min(c(xlim[2], ylim[2]))/4,
  step = rMax/100
)

Arguments

x, y	Numeric vectors with 'x' and 'y' coordinates in a cartesian space. They must have the same length.
xlim, ylim	Numeric vectors with two values defining the 'x' and 'y' axis limit in the cartesian plane.
rMax	maximum distance for neighborhood definition.
step	increase distance size for neighborhood.

Value

'meanNeighbors' returns a data frame with two numeric vectors. The first 'r' represents the neighborhood distance definition; 'meanNeighbors' the mean number of neighbors for each 'r' distance. This count uses the torus border correction.

Author(s)

Alexandre Adalardo de Oliveira [e-mail]

References

Baddeley, A.; Rubak, E; Turner, R. 2016. Spatial Point Patterns: Methodology and Applications with R. CRC Press. Wiegand, T. & Moloney, K.A. 2014. Handbook of Spatial Point-Pattern Analysis in Ecology. CRC Press.

Examples

## Not run: 
meanNeighbors(x = runif(100, 0, 1), y = runif(100, 0, 1))

## End(Not run)

adalardo/Rppsp documentation built on June 10, 2025, 1:11 p.m.