imagePrep: imagePrep

In BradHubley/SpatialHub: Survey Design and Spatial Analysis of Fisheries Data

imagePrep

Description

Called by interpolation to preform the interpolation and return image data

Usage

imagePrep(
  X,
  Y,
  Z,
  dat,
  aspr = 1.34564,
  res = 0.02,
  summary.dat = F,
  log.dat = T,
  method = "gstat",
  matrix.dat = T,
  idp = 0.5,
  nmax = 7,
  maxdist = Inf,
  subset.poly = NULL,
  covariate.dat = NULL,
  regrid = F,
  mod.type = "Sph",
  subscale = 0.01
)

Arguments

X	= undocumented
Y	= undocumented
Z	= undocumented
dat	= a dataframe with 3 columns (longitude, latitude, variable to be mapped)
aspr	= aspect ratio for a given latitude (default is for 45 deg.)
res	= resolution of image in decimal degrees
summary.dat	= undocumented
log.dat	= logical, whether to log data
method	= 'gstat' = gstat (idw) function from gstat library, 'krige' = krige function from gstat library, 'none' = no interpolation function
matrix.dat	= undocumented
idp	= undocumented
nmax	= undocumented
maxdist	nmax, idp, mod.type = arguments to be passed to gstat function (idp is inverse distance power)
subset.poly	= inclusion polygon to subset spatially, 'square' used to close polygons (useful when not smoothing or blanking)
covariate.dat	= covariate data typically used in kriging
regrid	= undocumented
mod.type	= undocumented
subscale	= size of inset when subset.poly = 'square'

Author(s)

Brad Hubley

BradHubley/SpatialHub documentation built on April 6, 2024, 4:43 p.m.