moran_test: global spatial autocorrelation test

In sdsfun: Spatial Data Science Complementary Features

global spatial autocorrelation test

Description

global spatial autocorrelation test

Usage

moran_test(sfj, wt = NULL, alternative = "greater", symmetrize = FALSE)

Arguments

sfj	An sf object or can be converted to sf by sf::st_as_sf().
wt	(optional) Spatial weight matrix. Must be a matrix class. If wt is not provided, sdsfun will use a first-order queen adjacency binary matrix.
alternative	(optional) Specification of alternative hypothesis as greater (default), lower, or two.sided.
symmetrize	(optional) Whether or not to symmetrize the asymmetrical spatial weight matrix wt by: 1/2 * (wt + wt'). Default is FALSE.

Value

A list utilizing a result tibble to store the following information for each variable:

MoranI

observed value of the Moran coefficient

EI

expected value of Moran's I

VarI

variance of Moran's I (under normality)

ZI

standardized Moran coefficient

PI

p-value of the test statistic

Examples

gzma = sf::read_sf(system.file('extdata/gzma.gpkg',package = 'sdsfun'))
moran_test(gzma)

sdsfun documentation built on June 8, 2025, 10:39 a.m.