lidR: is – R documentation

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is

A set of boolean tests on objects

Description

is.empty tests if a LAS object is a point cloud with 0 points.
is.overlapping tests if a LAScatalog has overlapping tiles.
is.indexed tests if the points of a LAScatalog are indexed with .lax files.
is.algorithm tests if an object is an algorithm of the lidR package.
is.parallelised tests if an algorithm of the lidR package is natively parallelised with OpenMP. Returns TRUE if the algorithm is at least partially parallelised i.e. if some portion of the code is computed in parallel.

Usage

is.empty(las)

is.overlapping(catalog)

is.indexed(catalog)

is.algorithm(x)

is.parallelised(algorithm)

Arguments

`las`	A `LAS` object.
`catalog`	A `LAScatalog` object.
`x`	Any R object.
`algorithm`	An `algorithm` object.

Value

TRUE or FALSE

Examples

LASfile <- system.file("extdata", "example.laz", package="rlas")
las = readLAS(LASfile)
is.empty(las)

las = new("LAS")
is.empty(las)

f <- lmf(2)
is.parallelised(f)

g <- pitfree()
is.parallelised(g)

ctg <- readLAScatalog(LASfile)
is.indexed(ctg)

lidR

Airborne LiDAR Data Manipulation and Visualization for Forestry Applications

v3.1.2

GPL-3

Authors

Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] (Reviews the documentation), Florian De Boissieu [ctb] (Fixed bugs and improved catalog features), Andrew Sánchez Meador [ctb] (Implemented wing2015() for segment_snags()), Bourdon Jean-François [ctb] (Contributed to Roussel2020() for track_sensor()), Gatziolis Demetrios [ctb] (Implemented Gatziolis2019() for track_sensor())

Initial release

2021-03-11

is