tile_anc.lst: Create stacked spatial tiles for a set of ancillary datasets

In kanj241/agrosoil: Surface and Rootzone Soil Moisture Prediction

Create stacked spatial tiles for a set of ancillary datasets

Description

For purposes of parallel processing, this function creates a set of stacked-spatial tiles a unlimited number of covariates, which could be loaded individually for further processing

Usage

tile_anc.lst(
  i,
  tile.tbl,
  in.covs,
  out.path,
  mask.w,
  mask.l,
  ROI_name,
  Landform,
  crss
)

Arguments

i	Vector of spatial tile IDs
tile.tbl	Output of "getSpatialTiles" function from GSIFR package.
in.covs	List of covariates to split and stack as list of smaller spatial tiles
out.path	Path to folder containing output tile directories
mask.w	Surface water mask Raster layer
mask.l	Land cover mask Raster layer
ROI_name	Name of region of interest
Landform	Landform Raster layer
crss	CRS string

Examples

library(rgdal)
library(raster)

out <- tile_anc.lst(i, tile.tbl, in.covs, out.path, mask.w, mask.l, ROI_name, Landform, crss)

kanj241/agrosoil documentation built on March 25, 2022, 12:22 a.m.