HCEB.moran.plot: Moran scatterplot with Heteroscedasticity-Consistent...

In phjung/HCEB: Heteroscedasticity-Consistent Empirical Bayes Rate and Spatial Autocorrelation

Description

A plot of HC-EB spatial areal rate data against its spatially lagged values.

Usage

HCEB.moran.plot(n, x, se, listw, zero.policy = NULL, spChk = NULL,
  labels = NULL, xlab = NULL, ylab = NULL, ...)

Arguments

n	a numeric vector of counts of cases (numerator)
x	a numeric vector of populations at risk (denominator)
se	a numeric vector of sampling standard errors of corresponding populations at risk
listw	a listw object created for example by nb2listw
zero.policy	default NULL, use global option value; if TRUE assign zero to the lagged value of zones without neighbours, if FALSE assign NA
spChk	should the data vector names be checked against the spatial objects for identity integrity, TRUE, or FALSE, default NULL to use get.spChkOption()
labels	character labels for points with high influence measures, if set to FALSE, no labels are plotted for points with large influence

References

Jung, PH, Thill J-C, Issel M 2018 Spatial Autocorrelation Statistics of Areal Prevalence Rates under High Uncertainty in Denominator Data, Geographical Analysis

phjung/HCEB documentation built on May 27, 2019, 1:07 a.m.