An example pf_archive-class object. This comprises a named list of results from an implementation of the depth-contour particle filtering (DCPF) algorithm (see dc and pf). The algorithm was implemented for a series of depth observations collected from flapper skate (Dipturus intermedius) off the west coast of Scotland, where the bathymetry is described by dat_gebco. The outputs include algorithm parameters and a list of dataframes that record the particles sampled at each time step. This is included principally to streamline function examples.
dat_dcpf_historiesA named list, with two elements, which records the parameters used in the call to pf and the particles sampled at each time step:
A named list that records the function arguments used to generate outputs.
A list of dataframes, one for each time step, that record particle samples. Each dataframe comprises n = 10 rows and the following three columns:
raster (bathy).
pr_current A double that defines the probability of movement into each cell.
timestep An integer that defines each time step.