cu_crw_predict: Batch CRW Prediction for Multiple Animals

In dsjohnson/crawlUtils: Enhance And Integrate the {crawl} Package For Spatial Analysis Of Telemetry Output

Batch CRW Prediction for Multiple Animals

Description

Uses a list of CRW fitted models and desired prediction times to make location (and velocity) predictions for telemetered animals.

Usage

cu_crw_predict(
  fit,
  predTime = NULL,
  barrier = NULL,
  vis_graph = NULL,
  as_sf = TRUE,
  ...
)

Arguments

fit	A CRW fit object
predTime	A character string describing the desired frequency of prediction, e.g., predTime="1 hour" or predTime="15 min".
barrier	An sf polygon object representing areas where the animal cannot access.
vis_graph	A visibility graph constructed with the R package pathroutr, which is used to reroute paths around barriers.
as_sf	Logical. Return an sf points data frame (TRUE) or standard crawl prediction.
...	Additional arguments passed to the foreach function, e.g., for error handling in the loop.

Details

The R package pathroutr is necessary for use of the barrier rerouting. it can be installed with the command install.packages('pathroutr', repos='https://jmlondon.r-universe.dev'). See 'https://github.com/jmlondon/pathroutr' for a description of use and constructing the viability vis_graph.

Author(s)

Devin S. Johnson

dsjohnson/crawlUtils documentation built on Sept. 13, 2024, 1:34 p.m.