Skip to contents

Predict bird distributions

Source: R/predict.R
predict.BirdFlow.Rd

predict() projects bird distributions into the future or past. Given an initial distribution and time period specified via ..., predict() generates probability distributions for each timestep.

Usage

# S3 method for BirdFlow
predict(object, distr, ...)

Arguments

object

A BirdFlow model object.

distr

A starting distribution.

...

Arguments passed on to lookup_timestep_sequence

season

a season name, season alias, or "all". See lookup_season_timesteps() for options.

start

The starting point in time specified as a timestep, character date, or date object.

end

The ending point in time as a date or timestep.

direction

Either "forward" or "backward" defaults to "forward" if not processing dates. If using date input direction is optional and is only used to verify the direction implicit in the dates.

season_buffer

Only used with season input. season_buffer is passed to lookup_season_timesteps() and defaults to 1; it is the number of timesteps to extend the season by at each end.

n_steps

Alternative to end The end will be n_steps away from start in direction; and the resulting sequence will have n_step transitions and n_steps + 1 timesteps.

Value

If multiple starting distributions are input in a matrix the result will be an array with dimensions: location, distribution, and time. With one input distribution the result will be a matrix with dimensions: location and time.

See also