View source: R/catalog_retile.R
catalog_retile | R Documentation |
Splits or merges files to reshape the original files collection (.las or .laz) into smaller or larger
files. It also enables the addition or removal of a buffer around the tiles. Internally, the
function reads and writes the chunks defined by the internal processing options of a
LAScatalog. Thus, the function is flexible and enables the user to retile
the dataset, retile while adding or removing a buffer (negative buffers are allowed), or optionally
to compress the data by retiling without changing the pattern but by changing
the format (las/laz). This function is does not load the point cloud into R memory It streams
from input file(s) to output file(s) and can be applied to large point-cloud with low memory
computer.
Note that this function is not actually very useful because lidR
manages everything
(clipping, processing, buffering, ...) internally using the proper options. Thus, retiling may be
useful for working in other software, for example, but not in lidR
catalog_retile(ctg)
ctg |
A LAScatalog object |
A new LAScatalog
object
The option select
is not supported and not respected because it always preserves the file
format and all the attributes. select = "*"
is imposed internally.
LASfile <- system.file("extdata", "Megaplot.laz", package="lidR")
ctg = readLAScatalog(LASfile)
plot(ctg)
# Create a new set of 200 x 200 m.las files with first returns only
opt_chunk_buffer(ctg) <- 0
opt_chunk_size(ctg) <- 200
opt_filter(ctg) <- "-keep_first"
opt_chunk_alignment(ctg) <- c(275, 90)
opt_output_files(ctg) <- paste0(tempdir(), "/retile_{XLEFT}_{YBOTTOM}")
# preview the chunk pattern
plot(ctg, chunk = TRUE)
newctg = catalog_retile(ctg)
plot(newctg)
# Create a new set of 200 x 200 m.las files
# but extended with a 50 m buffer in the folder
opt_chunk_buffer(ctg) <- 25
opt_chunk_size(ctg) <- 200
opt_filter(ctg) <- ""
opt_chunk_alignment(ctg) <- c(275, 90)
opt_output_files(ctg) <- paste0(tempdir(), "/{XLEFT}_{YBOTTOM}_buffered")
newctg = catalog_retile(ctg)
plot(newctg)
## Not run:
# Create a new set of compressed .laz file equivalent to the original, keeping only
# first returns above 2 m
opt_chunk_buffer(ctg) <- 0
opt_chunk_size(ctg) <- 0
opt_laz_compression(ctg) <- TRUE
opt_filter(ctg) <- "-keep_first -drop_z_below 2"
opt_output_files(ctg) <- paste0(tempdir(), "/{ORIGINALFILENAME}_first_2m")
newctg = catalog_retile(ctg)
## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.