idw_snow: Inverse Distance Weighting, the Idaho way
In beanb2/snowload: Ground snow load prediction functions.

Description Usage Arguments Details Value

A function that implements inverse distance weighting using normalized ground snow loads.

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idw_snow(formula = RESPONSE ~ ELEVATION, locations, newdata,
  tlayer = 1220, power = c(2, 6), NGSL = TRUE,
  bound_output = FALSE, corMethod = "spearman", print = FALSE, ...)

`formula`	A formula that is passed to the idw function in the sp package.
`locations`	The measurement locations to be used for interpolation. An object of class SpatialPointsDataFrame
`newdata`	The prediction locations. An objet of class SpatialPointsDataFrame, SpatialGridDataFrame, or SpatialPixelsDataFrame.
`tlayer`	The elevation (in meters) on which to split the data. The Idaho snow load report splits the state into two layers using 4000 ft (1219.2 meters) as a cutoff. This variable can also be set to NA, at which point an automatic separating elevation method is applied (see details).
`power`	A vector of length 2 indicating the exponent in the inverse distance weighting for the lower and upper elevations respectively.
`NGSL`	If true, used normalized ground snow loads, which are simply snow loads divided by elevation. This is the way elevation is accounted for in the 2015 Idaho study.
`bound_output`	If true, the final predictions are capped at the range of observed data.
`corMethod`	(only relevant if tlayer = NA). The method by which correlations are determined when deciding on a separating elevation. Valid options include "pearson", "spearman" and "kendall"
`print`	If true, gstat package messages are printed to the screen, as well as the separating elevation.