Hi!
I'm trying to use GWR with a dataset who has a lot of NAs. How spgwr
considers NAs?
As a test, I'm having the following results:
> g.adapt.gauss.00 <- gwr.sel(pib00 ~ cv00 + le00 + ma00 + ou00, data=dados,
adapt=TRUE, coords=cbind(dados$x, dados$y))
Adaptive q: 0.381966 CV score: 0
Adaptive q: 0.618034 CV score: 0
Adaptive q: 0.763932 CV score: 0
Adaptive q: 0.854102 CV score: 0
Adaptive q: 0.90983 CV score: 0
Adaptive q: 0.944272 CV score: 0
Adaptive q: 0.9655581 CV score: 0
Adaptive q: 0.9787138 CV score: 0
Adaptive q: 0.9868444 CV score: 0
Adaptive q: 0.9918694 CV score: 0
Adaptive q: 0.994975 CV score: 0
Adaptive q: 0.9968944 CV score: 0
Adaptive q: 0.9980806 CV score: 0
Adaptive q: 0.9988138 CV score: 0
Adaptive q: 0.9992669 CV score: 0
Adaptive q: 0.9995469 CV score: 0
Adaptive q: 0.99972 CV score: 0
Adaptive q: 0.999827 CV score: 0
Adaptive q: 0.999893 CV score: 0
Adaptive q: 0.9999339 CV score: 0
Adaptive q: 0.9999339 CV score: 0
Houve 50 ou mais avisos (use warnings() para ver os primeiros 50)
> res.adpt.00 <- gwr(pib00 ~ cv00 + le00 + ma00 + ou00, data=dados,
adapt=g.adapt.gauss.00, coords=cbind(dados$x, dados$y))
Erro em gwr(pib00 ~ cv00 + le00 + ma00 + ou00, data = dados, adapt =
g.adapt.gauss.00, :
new data matrix rows mismatch
Regards,
Raphael Saldanha
BRAZIL
saldanha.plan...@gmail.com
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