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Spatial model is not working #8
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Dear Ingrid, |
Ok, I now see what happened here. If you run your spatial model with "verbose = TRUE" you will see the message "The model residuals are not spatially correlated, there is no need to fit a spatial model", meaning that you don't need a spatial model for your data because the residuals are not spatially autocorrelated. You can check this in the "model.non.spatial" by plotting the Moran's I of the residuals using "plot_moran(model.non.spatial)". Please, let me know when you have read this message so I can close this non-issue. I appreciate your interest in the package! Blas |
Thanks so much for getting back to me Blas.
Great news!
Cheers,
Ingrid
…On Tue, Mar 1, 2022 at 6:38 AM Blas Benito ***@***.***> wrote:
Ok, I now see what happened here.
If you run your spatial model with "verbose = TRUE" you will see the
message "The model residuals are not spatially correlated, there is no need
to fit a spatial model", meaning that you don't need a spatial model for
your data because the residuals are not spatially autocorrelated.
You can check this in the "model.non.spatial" by plotting the Moran's I of
the residuals using "plot_moran(model.non.spatial)".
Please, let me know when you have read this message so I can close this
non-issue.
I appreciate your interest in the package!
Blas
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Hi Blas,
I am unable to get your rf_spatial function to work.
I am using your package to run a random forest framework on the attached data. My attached data is set up as such:
dependent.variable.name <- "dNBR"
predictor.variable.names <- colnames(G41607dat270)[2:29]
xy <- G41607dat270[, c("x", "y")]
dist_G41607dat270 <- pointDistance(G41607dat270[, c("x", "y")], lonlat = FALSE)
distance.matrix <- dist_G41607dat270
distance.thresholds <- c(0, 270, 381, 540, 810, 1080, 1350)
random.seed <- 1
The non-spatial model is as such:
model.non.spatial <- spatialRF::rf(
data = G41607dat270,
dependent.variable.name = dependent.variable.name,
predictor.variable.names = predictor.variable.names,
distance.matrix = distance.matrix,
distance.thresholds = distance.thresholds,
xy = xy,
seed = random.seed,
verbose = FALSE
)
I run the spatial model as such:
model.spatial <- spatialRF::rf_spatial(
model = model.non.spatial,
method = "mem.moran.sequential", #default method
verbose = FALSE,
)
I then run the get_spatial_predictors and it errors "Error in spatialRF::get_spatial_predictors(model.spatial) :
This function only works on models fitted with 'rf_spatial'"
It seems as though the spatial model function is not working. There is no difference between the non-spatial and spatial model.
G41607dat270.csv
Thanks for your help!
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