[R-sig-Geo] Inverse distance weighted with binomial data set

[Paulo Justiniano Ribeiro Jr]

Alexandre

idw in this context will produce values in [0,1]
and therefore comparable "estimates".
idw is an algorithm which can produce exploratory analysis
however not a model so
the issues will be the same with idw for continuos
values such as: sensibility with data configuration (specially with 
clustered data), prediction errors, allowing for covariates etc.

Paulo Justiniano Ribeiro Jr
LEG (Laboratorio de Estatistica e Geoinformacao)
Universidade Federal do Parana
Caixa Postal 19.081
CEP 81.531-990
Curitiba, PR  -  Brasil
Tel: (+55) 41 3361 3573
VOIP: (+55) (41) (3361 3600) 1053 1066
Fax: (+55) 41 3361 3141
e-mail: paulojus AT  ufpr  br
http://www.leg.ufpr.br/~paulojus

On Tue, 15 Nov 2011, ASANTOS wrote:

> Dear colleges,
>
>         There are any limitation for used the inverse distance weighted 
> (IDW) for presence-absence data set, when the objective is create a map 
> similar with indicator kriging (IK) approach? I don't no if is a trivial 
> question but the idea is comparing both approaches.
>
> Thanks,
>
> -- 
> Alexandre DOS SANTOS
> Engenheiro Florestal, Msc.
> Laboratório de Entomologia Florestal
> Departamento de Entomologia
> Universidade Federal de Lavras
> Caixa Postal 3037
> 37200-000 - Lavras - Minas Gerais - Brasil
> Tel: +55 35 92230304
>
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