Uses a given set of parameters and a specified model (be sure to match parameter and requirements with the model. Wrapper around a do.call() call for convenience.
pr_predict(par, data, model = "TT", path = ".", reproject = TRUE, ...)Arguments
- par
a vector of parameter values, this is functions specific
- data
a nested list of data formatted using one of the format_*() functions
- model
the model name to be used in optimizing the model
- path
the path to daymet tile data formated using the format_daymet() function. All tiles in this directory will be processed with the specified model and data mosaicked and reprojected if requested
- reproject
TRUE / FALSE, reproject to lat-lon (default = TRUE)
- ...
extra arguments to pass to the function
Value
returns point based or gridded estimates of a particular phenopase
Examples
if (FALSE) {
# estimate will be an estimated timing of a phenophase
estimate <- pr_predict(par, data, model)
# if a path is specified and no other data all tiled
# data in this directory will be processed into a map
# if a dataset is provided at the data parameter side
# only this particular tile will be processed.
}