Dear all,

I got a message from the spdep package developer and suggested me to open a GitHub issue for the problem. Please follow the discussion at:

https://github.com/r-spatial/spdep/issues/38Cheers,

J

________________________________

De: Juan Antonio Rodriguez Perez

Enviado: venres 07 febreiro 2020 17:01:25

Para:

[hidden email]
Asunto: k-nearest neighbours from distance matrix in spdep

Dear all,

I am using the spdep package to compute Local Moran Index.

My problem is that I am using 3D coordinates (x,y,z), and I would like to compute the k-nearest neighbours (k=10) for each point in my 3D space. I have already done this in 2D, by doing the following:

>neighs_k <- knn2nb(knearneigh(as.matrix(full),

k = 10))

> neighs_mat_k <- nb2listw(neighs_k

style = "W",

zero.policy = TRUE)

And then I can easily proceed using the neighs_mat_k object.

However, when using x,y,z coordinates I can't run the knearneigh() function on it. I tried converting my data to a distance matrix and using mat2listw() function like this:

>D <- as.matrix(dist(full, diag=FALSE, upper=FALSE))

>test1 <- mat2listw(D)

...but now I don't know how to retrieve the k-nearest weights from my test1 object (which would correspond to k-nearest neighbours) without changing the class of test1, which is:

> class(test1)

[1] "listw" "nb"

## and contains...:

> ls(test1)

[1] "neighbours" "style" "weights"

How should I do this? Is this even the right way to proceed?

Thanks all in advance!!

Best wishes,

Juan

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