reproducible (version 1.1.1)

postProcess: Generic function to post process objects

Description

maturing

The method for spatialObjects (Raster* and Spatial*) will crop, reproject, and mask, in that order. This is a wrapper for cropInputs, fixErrors, projectInputs, maskInputs and writeOutputs, with a decent amount of data manipulation between these calls so that the crs match.

Usage

postProcess(x, ...)
# S3 method for default
postProcess(x, ...)
# S3 method for list
postProcess(x, ...)
# S3 method for spatialObjects
postProcess(
  x,
  filename1 = NULL,
  filename2 = TRUE,
  studyArea = NULL,
  rasterToMatch = NULL,
  overwrite = getOption("reproducible.overwrite", TRUE),
  useSAcrs = FALSE,
  useCache = getOption("reproducible.useCache", FALSE),
  ...
)
# S3 method for sf
postProcess(
  x,
  filename1 = NULL,
  filename2 = TRUE,
  studyArea = NULL,
  rasterToMatch = NULL,
  overwrite = getOption("reproducible.overwrite", TRUE),
  useSAcrs = FALSE,
  useCache = getOption("reproducible.useCache", FALSE),
  ...
)

Arguments

x

An object of postProcessing, e.g., spatialObjects. See individual methods. This can be provided as a rlang::quosure or a normal R object.

...

Additional arguments passed to methods. For spatialObjects, these are: cropInputs, fixErrors, projectInputs, maskInputs, determineFilename, and writeOutputs. Each of these may also pass ... into other functions, like writeRaster, or sf::st_write. This might include potentially important arguments like datatype, format. Also passed to projectRaster, with likely important arguments such as method = "bilinear". See details.

... passed to:

cropInputs:

crop

projectInputs

projectRaster

maskInputs

fastMask or intersect

fixErrors

buffer

writeOutputs

writeRaster or shapefile

determineFilename

* Can be overridden with useSAcrs ** Will mask with NAs from rasterToMatch if maskWithRTM

filename1

Character strings giving the file paths of the input object (filename1) filename1 is only used for messaging (i.e., the object itself is passed in as x) and possibly naming of output (see details and filename2).

filename2

filename2 is optional, and is either NULL (no writing of outputs to disk), or several options for writing the object to disk. If TRUE (the default), it will give it a file name determined by .prefix(basename(filename1), prefix). If a character string, it will use this as its file name. See determineFilename.

studyArea

SpatialPolygons* object used for masking and possibly cropping if no rasterToMatch is provided. If not in same CRS, then it will be spTransformed to CRS of x before masking. Currently, this function will not reproject the x. Optional in postProcess.

rasterToMatch

Template Raster* object used for cropping (so extent should be the extent of desired outcome) and reprojecting (including changing the resolution and projection). See details in postProcess.

overwrite

Logical. Should downloading and all the other actions occur even if they pass the checksums or the files are all there.

useSAcrs

Logical. If FALSE, the default, then the desired projection will be taken from rasterToMatch or none at all. If TRUE, it will be taken from studyArea. See table in details below.

useCache

Passed to Cache in various places. Defaults to getOption("reproducible.useCache").

Post processing sequence

If the rasterToMatch or studyArea are passed, then the following sequence will occur:

1. Fix errors fixErrors. Currently only errors fixed are for SpatialPolygons using buffer(..., width = 0).

2. Crop using cropInputs

3. Project using projectInputs

4. Mask using maskInputs

5. Determine file name determineFilename

6. Write that file name to disk, optionally writeOutputs

NOTE: checksumming does not occur during the post-processing stage, as there are no file downloads. To achieve fast results, wrap prepInputs with Cache

NOTE: sf objects are still very experimental.

Passing <code>rasterToMatch</code> and/or <code>studyArea</code>

Depending on which of these were passed, different things will happen to the targetFile located at filename1.

If targetFile is a Raster* object:

	rasterToMatch	studyArea	Both
extent	Yes	Yes	rasterToMatch
resolution	Yes	No	rasterToMatch
projection	Yes	No*	rasterToMatch*
alignment	Yes	No	rasterToMatch
mask	No**	Yes	studyArea**

* Can be overridden with useSAcrs ** Will mask with NAs from rasterToMatch if maskWithRTM

If targetFile is a Spatial* object:

	rasterToMatch	studyArea	Both
extent	Yes	Yes	rasterToMatch
resolution	NA	NA	NA
projection	Yes	No*	rasterToMatch*
alignment	NA	NA	NA
mask	No	Yes	studyArea

* Can be overridden with useSAcrs

See Also

prepInputs

Examples

# NOT RUN {
# Add a study area to Crop and Mask to
# Create a "study area"
library(sp)
library(raster)
ow <- setwd(tempdir())

# make a SpatialPolygon
coords1 <- structure(c(-123.98, -117.1, -80.2, -100, -123.98, 60.9, 67.73, 65.58, 51.79, 60.9),
                     .Dim = c(5L, 2L))
Sr1 <- Polygon(coords1)
Srs1 <- Polygons(list(Sr1), "s1")
shpEcozone <- SpatialPolygons(list(Srs1), 1L)
crs(shpEcozone) <- "+proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0"

# make a "study area" that is subset of larger dataset
coords <- structure(c(-118.98, -116.1, -99.2, -106, -118.98, 59.9, 65.73, 63.58, 54.79, 59.9),
                    .Dim = c(5L, 2L))
Sr1 <- Polygon(coords)
Srs1 <- Polygons(list(Sr1), "s1")
StudyArea <- SpatialPolygons(list(Srs1), 1L)
crs(StudyArea) <- "+proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0"
#'
#'
##########
shpEcozonePostProcessed <- postProcess(shpEcozone, studyArea = StudyArea)
#'
# Try manually, individual pieces
shpEcozoneReprojected <- projectInputs(shpEcozone, StudyArea)
shpEcozoneCropped <- cropInputs(shpEcozone, StudyArea)
shpEcozoneClean <- fixErrors(shpEcozone)
shpEcozoneMasked <- maskInputs(shpEcozone, StudyArea)

setwd(ow)
# Add a study area to Crop and Mask to
# Create a "study area"
library(sp)
library(raster)
ow <- setwd(tempdir())

# make a SpatialPolygon
coords1 <- structure(c(-123.98, -117.1, -80.2, -100, -123.98, 60.9, 67.73, 65.58, 51.79, 60.9),
                     .Dim = c(5L, 2L))
Sr1 <- Polygon(coords1)
Srs1 <- Polygons(list(Sr1), "s1")
shpEcozone <- SpatialPolygons(list(Srs1), 1L)
crs(shpEcozone) <- "+proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0"

# make a "study area" that is subset of larger dataset
coords <- structure(c(-118.98, -116.1, -99.2, -106, -118.98, 59.9, 65.73, 63.58, 54.79, 59.9),
                    .Dim = c(5L, 2L))
Sr1 <- Polygon(coords)
Srs1 <- Polygons(list(Sr1), "s1")
StudyArea <- SpatialPolygons(list(Srs1), 1L)
crs(StudyArea) <- "+proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0"
#'
#'
##########
shpEcozonePostProcessed <- postProcess(shpEcozone, studyArea = StudyArea)
#'
# Try manually, individual pieces
shpEcozoneReprojected <- projectInputs(shpEcozone, StudyArea)
shpEcozoneCropped <- cropInputs(shpEcozone, StudyArea)
shpEcozoneClean <- fixErrors(shpEcozone)
shpEcozoneMasked <- maskInputs(shpEcozone, StudyArea)

setwd(ow)
# }