lag_multiple_datasets: Create a spatio-temporal embed of multiple datasets

Description Usage Arguments Value See Also

View source: R/gen_data_utils.R

Description

Transform multiple spatio-temporal data sets in a list of lists into a list of lists containing data frames that have a spatio-temporal embed. Only data for "interior" points in the grid is kept. That is, points that do not have four immediate neighbours are filtered out.

Usage

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lag_multiple_datasets(data_list, LAG_use, SLAGS,
  min_time = rep(max(LAG_use), length(LAG_use)))

Arguments

data_list

A multi-level list as the ones generated by generate_multiple_datasets. The first level corresponds to a certain grid size; the second level to a certain time series size and the third level contains multiple lists containing datasets (that might have been generated from different STARMA specifications).

LAG_use

A vector of the temporal lag orders to use.

SLAGS

A list containing vectors of length of the corresponing temporal lag size. Each of the vectors contains values of 0 meaning no neighbour columns are used at that temporal lag, and/or values of 1 meaning that the values of immediate neighbours are included for that temporal lag.

min_time

A vector of the minimum time-stamps to be included in the datasets. Defaults to rep(max(LAG_use), length(LAG_use).

Value

A list of lists similar to data_list, but with the data sets having spatio-temporal embeds.

See Also

generate_multiple_datasets, st_lag_neib_ord1


mrfoliveira/Evaluation-procedures-for-forecasting-with-spatio-temporal-data documentation built on April 11, 2021, 10:50 a.m.