transform_rasters: Transform raster values using custom calls.

In gabrielhoc/Mapinguari: Process-Based Biogeographical Analysis

Transform raster values using custom calls.

Description

transform_rasters Applies custom expressions to transform the values of spatial rasters in a stack, taking into account temporal repetition of those rasters.

Usage

transform_rasters(raster_stack, separator = "_", ncores = 1, ...)

Arguments

raster_stack	RasterStack. Stack with environmental layers.
separator	character. Character that separates variable names, years and scenarios.
ncores	integer. Number of cores to use in parallel processing.
...	New rasters created.

Value

Returns a RasterStack with layers for the predictions required.

Examples

## Not run: 
FulanusEcoRasters_present <-
  get_rasters(
    var = c('prec', 'tmax', 'tmin'),
    scenarios = 'present',
    source = "C:/Users/gabri/Dropbox/Mapinguari/global_grids_10_minutes",
    ext = FulanusDistribution[c(2,3)],
    margin = 5,
    reorder = c(1, 10, 11, 12, 2, 3, 4, 5, 6, 7, 8, 9))

# You can apply any function to subsets of rasters in the stack,
# by selecting the layers with double brackets.

transform_rasters(raster_stack = FulanusEcoRasters_present$present,
    total_1sem = sum(tmax[1:6]),
    mean_1sem = mean(tmax[1:6]),
    sd_1sem = sd(tmax[1:6]),
    total_2sem = sum(tmax[7:12]),
    mean_2sem = mean(tmax[7:12]),
    sd_2sem = sd(tmax[7:12]))

## End(Not run)

gabrielhoc/Mapinguari documentation built on July 6, 2023, 6:40 p.m.