CovariateCreationFunction: Function for creating a dense grid with all covariate values

In PointProcess/SealPupProduction-JRSSC-code:

Description

Transforms a tif file with lonlat values to a dense grid with the same coordinate system as the seal data (created with the lb2xykm function), with mean values imputed where satellite image value is unknown. The output is a spatstat::im variable.

Usage

CovariateCreationFunction(
  satelliteFile = system.file("extdata", "original",
    "reflectance_0.0025deg_grid_modis_20120328_1310.tif", package = "SealCoxProcess"),
  sealFile = system.file("extdata", "original", "WestIce2012.csv", package =
    "SealCoxProcess"),
  xkmRange = c(-65.33908, 67.99593),
  ykmRange = c(-103.87783, 85.35911),
  covariates.type,
  chunksPerDim = 5,
  noPixEachDim = 1000,
  expandBy = 5
)

Arguments

xkmRange	Vector of size 2, corresponding to the x-range of the mesh gotton with the standard input variables
ykmRange	Vector of size 2, corresponding to the y-range of the mesh gotton with the standard input variables
covariates.type	String indicating the type of covariate to create (either "band1" or "band2")
chunksPerDim	Numeric. The number of chunkgs to split the data into when transforming the covariates
noPixEachDim	Numeric. The number of pixels to use per dimension.
expandBy	Numeric, indicating how many pixels the chunks should overlap with.

Value

Returns an image objects (which should be saved to file)

PointProcess/SealPupProduction-JRSSC-code documentation built on Jan. 27, 2020, 10:06 p.m.