robust.timeslices: Robust time slices from gridded data stack

In rafaelgramos/robustmap: Robust mapping of spatiotemporal data

Robust time slices from gridded data stack

Description

Improves the rates per cells for each timeslice by considering information from the other slices. For each location, model (auto.arima only for now) is estimated for the corresponding time series. The predicted value at that cell-time is assigned as the improved, more robust rate. More formal validation is still required, but simulation tests I've ran show that it does yield better estimates.

Usage

robust.timeslices(observed_counts_timestamp, verbose = FALSE)

Arguments

observed_counts_timestamp	stack of rasters to be processed
verbose	whether to print messages while running the function or not

rafaelgramos/robustmap documentation built on April 22, 2024, 8:22 a.m.