extrapolate_IRES: Extrapolate prevalence of flow intermittence
In NaiaraLopezRojo/globalIRmap: What the Package Does (One Line, Title Case)

Description Usage Arguments Details Value

Train models and use them to extrapolate the global prevalence of intermittent rivers and ephemeral streams (as a percentage of network length).

extrapolate_IRES(
  in_rivpred,
  in_extranet,
  min_cutoff = 0.1,
  interactive = F,
  valuevar = "predbasic800cat",
  grouping_var = "PFAF_IDclz"
)

`in_rivpred`	output from netpredformat.
`in_extranet`	output from extrapolate_networklength.
`min_cutoff`	(numeric) minimum discharge to include in model training.
`interactive`	(logical) whether to print results and make plots for user to interactively evaluate results and troubleshoot.
`valuevar`	(character) name of the column containing the beta-distributed response variable to extrapolate (based on mean annual flow as the indepedent variable).
`grouping_var`	variable with which to subset the dataset into groups. A separate model is trained on each group.

The prevalence of IRES was independently extrapolated for a total of 465 spatial sub-units representing all occurring intersections of 62 river basin regions (BasinATLAS level 2 subdivisions) and 18 climate zones (Global Environmental Stratification). For each basin–climate sub-unit, after extrapolating the empirical cumulative distribution of total stream length (of all reaches with MAF ≥ 0.1 m3 s−1) down to 0.01 m3/s MAF, we extrapolated the prevalence of flow intermittence (in percentage of stream length) down to 0.01 m3/s MAF. wefitted a GAM for beta-distributed data—that is, with a (0, 1) range—to the prevalence of intermittence in each logarithmic MAF size bin of the sub-unit.

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

NaiaraLopezRojo/globalIRmap documentation built on Dec. 17, 2021, 5:19 a.m.