Compute aggregation of Ripley's K based on Landau et al. (2004)

Compute aggregation of Ripley's K based on Landau et al. (2004)

Usage

landau.avg(K.vec, area.vec, n.vec)

Arguments

K.vec

Vector of Ripley's K estimates across a series of images

area.vec

Vector of sizes of the window for each image

n.vec

Vector of the number of points in each image

Value

Returns a weighted average of the Ripley's K values based on the sizes of the images and numbers of points

References

Landau et al. (2004) Nonparametric One-way Analysis of Variance of Replicated Bivariate Spatial Point Patterns. Biometrical Journal, 46(1), 19-34.

Examples

# Generate simulated Ripley's K values, areas, and number of points
K.vec <- rnorm(3, mean = 1000, sd = 100)
area.vec <- rnorm(3, mean = 20000, sd = 100)
n.vec <- rnorm(3, mean = 300, sd = 50)

# Compute a weighted average
landau.avg(K.vec, area.vec, n.vec)
#> [1] 1058.028