morans_index: Calculate spatial correlation of given municipalities in an...

In epiCo: Statistical and Viz Tools for Vector-Borne Diseases in Colombia

Calculate spatial correlation of given municipalities in an incidence_rate object.

Description

Function to calculate spatial autocorrelation via Moran's Index from a given incidence_rate object grouped by municipality.

Usage

morans_index(incidence_object, scale = 1e+05, threshold = 2, plot = TRUE)

Arguments

incidence_object	An incidence object with one observation for the different locations (groups).
scale	Scale to consider when calculating the incidence_rate.
threshold	Maximum traveling time around each municipality.
plot	if TRUE, returns a plot of influential observations in the Moran's plot.

Value

List of Moran's I clustering analysis, giving the quadrant of each observation, influential values.

Examples

data_event <- epiCo::epi_data
incidence_historic <- incidence::incidence(data_event$fec_not,
  groups = data_event$cod_mun_o,
  interval = "4 year"
)
incidence_object <- subset(incidence_historic,
  from = "2015-01-04",
  to = "2018-12-27"
)
morans_index(incidence_object, scale = 100000, threshold = 2, plot = TRUE)

epiCo documentation built on April 4, 2025, 2:23 a.m.