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fuzzy kappa

7 messages · Paulo Flores Ribeiro, Андрей Чинилин, Hugo Costa +1 more

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According to Hagen?Zanker (2009: 
https://doi.org/10.1080/13658810802570317), ?The Fuzzy Kappa statistic 
expresses the agreement between two categorical raster maps. The 
statistic goes beyond cell?by?cell comparison and gives partial credit 
to cells based on the categories found in the neighborhood.?

Does anyone know of a package/function to compute such a Fuzzy Kappa 
statistic in R?

Thanks in advance,

PauloFR
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Just wondering if fussy kappa is the same as weighted Kappa. If yes, you
can try package psych (I used it years ago).
Hugo

?????? ??????? <achinilin at rgau-msha.ru> escreveu no dia ter?a, 23/11/2021
?(s) 16:47:

  
  
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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:
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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:

  
  
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Hi Hugo,
Many thanks for the reply. I don't think it's the same. If I'm not 
mistaken, the "weighted" of Cohen's Kappa in the psych package works on 
the confusion matrix of classifications, assigning different weights to 
values ??further away from the diagonal. Fuzzy kappa has another 
purpose. A classic example (which I read elsewhere) to show the 
potential usefulness of fuzzy kappa is the comparison of two rasters 
with the appearance of a chessboard: if the two boards are aligned, the 
match is perfect; if one of them is rotated 90 degrees, the mismatch is 
total but, however, the mosaic pattern remains exactly the same! Fuzzy 
kappa aims to get around these issues by providing an assessment of the 
mosaic pattern that is closer to a human perspective, rather than a 
purely "mathematical" pixel-to-pixel correspondence assessment.
I've seen articles where the authors claim to have adopted this "fuzzy 
kappa" approach to assess the accuracy of predictions in land use change 
models (which is my case), and I was hoping there would be a 
package/function to accomplish this in R. I'll be very surprised if it 
doesn't exist, as R got me used to finding "answer for everything" in it ;)
Cheers,
PauloFR


?s 10:23 de 24/11/2021, Hugo Costa escreveu:
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Thank you, David. We look forward to receiving a response from the 
package developer.
Cheers,
PauloFR

?s 12:03 de 24/11/2021, David Hine (L WM) escreveu: