Function to apply local Moran with EB Rate statistics. The EB rate is first computed from "event" and "base" variables, and then used in local moran statistics.
Usage
st_local_moran_eb(
sfj,
varcol,
wt = NULL,
permutations = 999,
permutation_method = "complete",
significance_cutoff = 0.05,
cpu_threads = 6,
seed = 123456789
)Arguments
- sfj
An sf (simple feature) object.
- varcol
The variable selected to calculate spatial lag, which is a character.
- wt
(optional) The spatial weights object,which can use
st_weights()to construct,default is constructed byst_weights(sfj,'contiguity').- permutations
(optional) The number of permutations for the LISA computation.
- permutation_method
(optional) The permutation method used for the LISA computation. Options are 'complete', 'lookup'. Default is 'complete'.
- significance_cutoff
(optional) A cutoff value for significance p-values to filter not-significant clusters.
- cpu_threads
(optional) The number of cpu threads used for parallel LISA computation.
- seed
(optional) The seed for random number generator.
Author
Wenbo Lv lyu.geosocial@gmail.com
Examples
if (FALSE) { # \dontrun{
guerry_path = system.file("extdata", "Guerry.shp", package = "rgeoda")
guerry = sf::read_sf(guerry_path)
st_local_moran_eb(guerry,c("hr60", "po60"))
} # }