Read a point cloud in memory. The point cloud is stored in a C++ data structure and is not exposed to users
Examples
f <- system.file("extdata", "Topography.las", package="lasR")
las <- read_cloud(f)
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las
#> Size : 2.20 MB
#> Extent : 273357.14 273642.86 5274357.14 5274642.85 (xmin, xmax, ymin, ymax)
#> Points : 73.40 thousands
#> Coord. ref. : (null)
#> Schema :
#> Name: flags | uchar | Desc: Internal 8-bit mask reserved lasR core engine
#> Name: X | int | Desc: X coordinate
#> Name: Y | int | Desc: Y coordinate
#> Name: Z | int | Desc: Z coordinate
#> Name: Intensity | ushort | Desc: Pulse return magnitude
#> Name: ReturnNumber | uchar | Desc: Pulse return number for a given output pulse
#> Name: NumberOfReturns | uchar | Desc: Total number of returns for a given pulse
#> Name: Classification | uchar | Desc: The 'class' attributes of a point
#> Name: UserData | uchar | Desc: Used at the user’s discretion
#> Name: PointSourceID | short | Desc: Source from which this point originated
#> Name: ScanAngle | char | Desc: Rounded angle at which the laser point was output
#> Name: gpstime | double | Desc: Time tag value at which the point was observed
u = exec(chm(5), on = las)
u
#> class : SpatRaster
#> dimensions : 58, 58, 1 (nrow, ncol, nlyr)
#> resolution : 5, 5 (x, y)
#> extent : 273355, 273645, 5274355, 5274645 (xmin, xmax, ymin, ymax)
#> coord. ref. :
#> source : file1f163089ba65.tif
#> name : max