climatch_par {Euclimatch}

Run climatch in parallel

Description

Run climatch in parallel

Usage

climatch_par(recipient,

source,

globvar,

biovar = 1:length(globvar),

ncores,

type = "perc",

threshold = 6)

Arguments

recipient

List of data.frames of the recipient regions

source

List of dataf.rames of the source regions

globvar

Vector of the global variance of each variable

biovar

Vector of the columns (climate variables) to use, default all columns

ncores

The number of cores to use in parallel

type

Choose between "perc" (default) or "mean" passed to climatch_sum() and "vec" passes to climatch_vec()

threshold

The climatch score (0-10) to use in calculating the percentage match, which is the number of grid cells within the recipient region with a climatch >= the threshold (default is 6).

Value

"perc" and "mean" returns data.frame of climatch within recipients (rows) for each source represented in columns, "vec" returns data.frame of climatch of a recipient (each column corresponds to grid cell), to sources (corresponding to rows)

Examples

# Dummy data
i1 <- data.frame("clim1" = 1:10, "clim2" = 9:18) # Fake source climate data
i <- list(i1, i1) # list the source dataframes
j1 <- data.frame("clim1" = 11:20, "clim2" = 16:25) # Fake recipient climate data
j <- list(j1, j1) # list the recipient dataframes
variance <- c(60, 80) # Fake global variance

# Climate matching
climatch_par(recipient = j, source = i, globvar = variance, ncores = 1, type = "vec")