Calculate the inhomogenous local K function.

Usage

inhomLocalK(
  data,
  Rs = c(20, 50, 100, 200),
  sigma = 10000,
  window = "convex",
  window.length = NULL,
  minLambda = 0.05,
  lisaFunc = "K"
)

Arguments

data: The data.
Rs: A vector of the radii that the measures of association should be calculated.
sigma: A numeric variable used for scaling when filting inhomogeneous L-curves.
window: Should the window around the regions be 'square', 'convex' or 'concave'.
window.length: A tuning parameter for controlling the level of concavity.
minLambda: Minimum value for density for scaling when fitting inhomogeneous L-curves.
lisaFunc: Either "K" or "L" curve.

Value

A matrix of LISA curves

Examples

library(spicyR)
# Read in data
isletFile <- system.file("extdata", "isletCells.txt.gz", package = "spicyR")
cells <- read.table(isletFile, header = TRUE)
cells$x <- cells$AreaShape_Center_X
cells$y <- cells$AreaShape_Center_Y
cells$cellType <- as.factor(sample(
  c("big", "medium", "small"),
  length(cells$AreaShape_Center_Y),
  replace = TRUE
))
cells$cellID <- as.factor(cells$ObjectNumber)

inhom <- inhomLocalK(cells[1:100, ])