map_basinBACC: Map prediction performance at the basin level
In messamat/globalIRmap: What the Package Does (One Line, Title Case)

Description Usage Arguments Details Value

Compute the number of gauging stations, bias, residual spatial autocorrelation and balanced classification accuracy for each HydroBASIN level 3.

map_basinBACC(
  in_gaugepred,
  in_rivernetwork,
  inp_basin,
  outp_basinerror,
  spatial_rsp
)

`in_gaugepred`	data.table of predictions for gauging stations. Output from bind_gaugepreds.
`in_rivernetwork`	river network with model predictions and other attributes. Output from netpredformat.
`inp_basin`	(character) absolute path to feature class of HydroBASINS level 3 polygons
`outp_basinerror`	(character) absolute path of output basin polygons with computed statistics
`spatial_rsp`	(boolean) whether to use outputs from spatial (TRUE) or non-spatial (FALSE) cross-validation.

This function was used to produce the data underlying Figure 3 of the Main Text of Messager et al. 2021. see test_joincount for more details on the procedure for testing spatial autocorrelation.

list containing a data.table and two plots. The data.table contains an estimate

messamat/globalIRmap documentation built on July 4, 2021, 10:48 a.m.