Closed IngridFarnell closed 2 years ago
Dear Ingrid, I come to this repo quite frequently, but your message went under the radar somehow. I am sorry for that. I am going to check your code and write you ASAP. Blas
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!