Dear List and Andrey and Paulo
You might like to look at the Fuzme package at this link
http://smartdigiag.com/software/#s-4.
The notes on it say:
/Fuzme is an R package for calculation of Fuzzy k-means with/without
extragrades. I wanted to integrate fuzzy-k means into my R workflow so i
translated some of Budiman Minansy?s matlab code into R. The R version
of Fuzzy k-means with extragrades is a little buggy. The FuzME
<http://sydney.edu.au/agriculture/pal/software/fuzme.shtml> software is
more stable and efficient. I would recommend using that for most things.
If you are trying to embed the classification into your R workflow
though, the R packages is OK, but not as computationally efficient. I am
working on it when i can./
regards
David
On 24/11/2021 10:03 pm, David Hine (L WM) wrote:
Hi Andrey and Paulo
I reached out to the author of ithir package for his current advice. He may respond here if time permits.
cheers
David
?Sent from TypeApp ?
On 24 Nov. 2021, 21:10, at 21:10, Paulo Flores Ribeiro<paulo.flores.mail at gmail.com> wrote:
Thank you Andrey,
I peeked at the goofcat and saw that it has a function to calculate
kappa, but it seems to be just "normal" kappa (in the sense of Cohen's
Kappa) and not Fuzzy Kappa.
Thanks anyway,
PauloFR
?s 16:47 de 23/11/2021, ?????? ??????? escreveu:
<paulo.flores.mail at gmail.com>:
expresses the agreement between two categorical raster maps. The
statistic goes beyond cell?by?cell comparison and gives partial
to cells based on the categories found in the neighborhood.?
Does anyone know of a package/function to compute such a Fuzzy
statistic in R?
Thanks in advance,
PauloFR