moran | R Documentation |
Computes the spatial correlation coefficient (Moran's I) of a vector given a distance matrix, and a distance threshold used to define "neighborhood".
moran( x = NULL, distance.matrix = NULL, distance.threshold = NULL, verbose = TRUE )
x |
Numeric vector, generally model residuals, Default: |
distance.matrix |
Distance matrix among cases in |
distance.threshold |
numeric value in the range of values available in |
verbose |
Logical, if |
Inspired in the Moran.I()
function of the ape package.
A list with three named slots:
test
: Data frame with observed and expected Moran's I values, p-value, and interpretation.
plot
: Moran's plot of the vector x against the spatial lags of x.
plot.df
: Data used in the Moran's plot.
moran_multithreshold()
if(interactive()){ #loading example data data(distance_matrix) data(plant_richness) #Moran's I of the response variable out <- moran( x = plant_richness$richness_species_vascular, distance.matrix = distance_matrix ) out }
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