nmt_impl: Implementation of Neighbor Match Test

In sfdep: Spatial Dependence for Simple Features

Implementation of Neighbor Match Test

Description

Implementation of Neighbor Match Test

Usage

nmt_impl(x, k, listw, nsim = 199, scale = TRUE, .method = "euclidian", .p = 2)

Arguments

x	a numeric vector or a list of numeric vectors of equal length.
k	the number of neighbors to identify in attribute space. Should be the same as number of neighbors provided in st_knn.
nsim	the number of simulations to run for calculating the simulated p-value.
scale	default TRUE. Whether x should be scaled or not. Note that measures should be standardized.
.method	default "euclidian". The distance measure passed to stats::dist().
.p	default 2. The power of Minkowski distance passed to the p argument in stats::dist().

Value

a data frame containing columns:

• n_shared

• nb_matches

• knn_nb

• probability

• p_sim

sfdep documentation built on Sept. 13, 2024, 5:07 p.m.