Hi

HiI have a question about autocorrelation in counts with heterogenous
population

in area i
y_i->counts
n_i->population at risk
r_i->rates
rp_i->padronized rates

Assunção e Reis (1999) say that you shouldn't use global Moran's I and that,
in this cases, you can use EBI (in R,  EBImoran.mc()).

Exemple: EBImoran.mc(y_i,n_i,portlw54B,**999)

I would like to complement the information given by EBI, with some local
spatial association information,  thus, we could have an indication about
the areas with significative
influence.

Thus anyone has a suggestion?


Thanks.
Best regards,
Conceição Ribeiro

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