Kest-lpp.md

# packages
library(spatstat)
#> Loading required package: spatstat.data
#> Loading required package: spatstat.geom
#> spatstat.geom 2.2-2
#> Loading required package: spatstat.core
#> Loading required package: nlme
#> Loading required package: rpart
#> spatstat.core 2.3-0
#> Loading required package: spatstat.linnet
#> spatstat.linnet 2.3-0.002
#> 
#> spatstat 2.2-0       (nickname: 'That's not important right now') 
#> For an introduction to spatstat, type 'beginner'

# simulate homogeneous pp data on a network
set.seed(3)
Y <- rpoislpp(10, simplenet)

# convert to planar data
Y2 <- as.ppp(Y)

# K function
plot(envelope(Y2))
#> Generating 99 simulations of CSR  ...
#> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40,
#> 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80,
#> 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,  99.
#> 
#> Done.

^{Created on 2021-09-07 by the reprex package (v2.0.1)}