search

pierreroudier / dissever

Dissever: a method for spatial downscaling
10 stars 7 forks source link

Error in check_dims(x = x, y = y) : nrow(x) > 1 is not TRUE #11

Open LuBriganti opened 10 months ago

LuBriganti commented 10 months ago

Hi, I am having this issue when trying to downscale:

 res_gam <- dissever(
    coarse = output, # stack of fine resolution covariates
    fine = fine, # coarse resolution raster
    method = "gamSpline", # regression method used for disseveration
    p = p_train, # proportion of pixels sampled for training regression model
    min_iter = min_iter, # minimum iterations
    max_iter = max_iter, # maximum iterations
    verbose = TRUE
  )

Selecting best model parameters
Error in check_dims(x = x, y = y) : nrow(x) > 1 is not TRUE.

Inputs are the following:

output class : RasterLayer dimensions : 12, 12, 144 (nrow, ncol, ncell) resolution : 1.666667, 1.666667 (x, y) extent : 12.2, 32.2, -14.61667, 5.383333 (xmin, xmax, ymin, ymax) crs : +proj=longlat +datum=WGS84 +no_defs source : memory names : index_6 values : 14295.9, 66365257 (min, max)

fine class : RasterStack dimensions : 2260, 2293, 5182180, 6 (nrow, ncol, ncell, nlayers) resolution : 0.008333333, 0.008333333 (x, y) extent : 12.2, 31.30833, -13.45, 5.383333 (xmin, xmax, ymin, ymax) crs : +proj=longlat +datum=WGS84 +no_defs names : GHS_POP_E//_30ss_V1_0, layer.1, built, layer.2, travel, layer.3 min values : 0.001458411, 0.000000000, ?, 0.046248772, 0.000000000, 0.000000000 max values : 193353.9687, 4.2720, ?, 543.8151, 2964.0000, 72540.0328