getDefaultNodata: Raster Functions

Description

These functions allow for analysis of raster data. Many are written in C++ to be extremely efficient and fast. Some are wrappers around these C++ functions for easier use and integration into other packages.

Usage

getDefaultNodata(GDT_name)
getOffset(coord, origin, gt_pixel_size)
getGDALformat(file)
basename.NoExt(filepath)
Mode(x, na.rm = FALSE)
Modes(x, na.rm = FALSE)
northness(asp_deg)
eastness(asp_deg)
roughness(x, na.rm = FALSE, asInt = TRUE)
TRI(x, na.rm = FALSE, asInt = TRUE)
TPI(x, na.rm = FALSE, asInt = TRUE)
getPixelValue(
  pt,
  ds,
  ri = NULL,
  band = 1,
  interpolate = FALSE,
  windowsize = 1,
  statistic = NULL,
  na.rm = TRUE
)
.getPixelValue(pt, rasterfile, ds, ...)
extractPtsFromRaster(
  ptdata,
  rasterfile,
  band = NULL,
  var.name = NULL,
  interpolate = FALSE,
  windowsize = 1,
  statistic = NULL,
  na.rm = TRUE,
  ncores = 1
)
extractPtsFromRasterList(
  ptdata,
  rasterfiles,
  bands = NULL,
  var.names = NULL,
  interpolate = FALSE,
  windowsizes = NULL,
  statistics = NULL,
  na.rm = TRUE,
  ncores = 1
)
rasterInfo(srcfile)
reprojectRaster(
  srcfile,
  dstfile,
  t_srs,
  overwrite = TRUE,
  s_srs = NULL,
  of = NULL,
  ot = NULL,
  te = NULL,
  tr = NULL,
  r = NULL,
  dstnodata = NULL,
  co = NULL,
  addOptions = NULL
)
rasterFromVectorExtent(
  src,
  dstfile,
  res,
  fmt = NULL,
  nbands = 1,
  dtName = "Int16",
  options = NULL,
  init = NULL,
  dstnodata = init
)
rasterizePolygons(dsn, layer, burn_value, rasterfile, src = NULL)
clipRaster(
  dsn = NULL,
  layer = NULL,
  src = NULL,
  srcfile,
  src_band = NULL,
  dstfile,
  fmt = NULL,
  options = NULL,
  init = NULL,
  dstnodata = NULL,
  maskByPolygons = TRUE
)
recodeRaster(srcfile, dstfile, lut, srcband = 1, ...)
pixelCount(rasterfile, band = 1)
focalRaster(
  srcfile,
  dstfile,
  w,
  fun = sum,
  na.rm = FALSE,
  ...,
  fmt = NULL,
  dtName = NULL,
  options = NULL,
  nodata_value = NULL,
  setRasterNodataValue = FALSE,
  srcband = NULL
)
zonalStats(
  dsn = NULL,
  layer = NULL,
  src = NULL,
  attribute,
  rasterfile,
  band = 1,
  lut = NULL,
  pixelfun = NULL,
  na.rm = TRUE,
  ignoreValue = NULL,
  show_progress = FALSE
)
zonalMean(
  dsn = NULL,
  layer = NULL,
  src = NULL,
  attribute,
  rasterfile,
  band = 1,
  lut = NULL,
  pixelfun = NULL,
  na.rm = TRUE,
  ...
)
zonalFreq(
  dsn = NULL,
  layer = NULL,
  src = NULL,
  attribute,
  rasterfile,
  band = 1,
  aggfun = NULL,
  lut = NULL,
  na.rm = FALSE,
  ignoreValue = NULL,
  show_progress = FALSE
)
zonalMajority(
  dsn = NULL,
  layer = NULL,
  src = NULL,
  attribute,
  rasterfile,
  band = 1,
  lut = NULL,
  ...
)
zonalMinority(
  dsn = NULL,
  layer = NULL,
  src = NULL,
  attribute,
  rasterfile,
  band = 1,
  lut = NULL,
  ...
)
zonalVariety(
  dsn = NULL,
  layer = NULL,
  src = NULL,
  attribute,
  rasterfile,
  band = 1,
  lut = NULL,
  ...
)
zonalBayes(
  dsn = NULL,
  layer = NULL,
  src = NULL,
  zoneidfld,
  helperidfld = NULL,
  rasterfiles,
  prednames,
  predfun,
  xy = FALSE,
  nMCMC = 100
)
getrastlst(
  rastnmlst,
  rastfolder = NULL,
  stopifLonLat = FALSE,
  stopifnull = FALSE,
  stopifinvalid = FALSE,
  gui = FALSE,
  quiet = FALSE
)
areacalc.pixel(rastfn, unit = "ACRES", rast.NODATA = NULL, na.rm = TRUE)
aspect_transform(df, asp)
checkrast.longlat(rastfn, dstfile = NULL, nolonglat = TRUE, crs.default = NULL)
getrastlst.rgdal(
  rastnmlst,
  rastfolder = NULL,
  stopifLonLat = FALSE,
  stopifnull = FALSE,
  stopifinvalid = FALSE,
  gui = FALSE,
  quiet = FALSE
)

Arguments

Value

Spatial data object from `sf`. Used for spatial data analyses.

Author

Chris Toney, Tracey S. Frescino

Details

These functions carry out raster data analysis.