V2.1.1

lidR v2.1.1 (Release date: 2019-08-06)

NEW FEATURES

1. #266 lasmetrics has now a dispatch to LAS and LAScluster cluster objects. It means that lasmetrics can be used with catalog_apply in some specific cases where it has a meaning (see also #266):

opt_chunk_buffer(ctg) <- 0
opt_chunk_size(ctg) <- 0
opt_filter(ctg) <- "-keep_first"
opt_output_files(new_ctg) <- ""
output <- catalog_apply(new_ctg, lasmetrics, func = .stdmetrics)
output <- data.table::rbindlist(output)

ENHANCEMENT

1. lastrees now uses S3 dispatcher system. When trying to use it with a LAScatalog object, user will have a standard R message to state that LAScatalog is not supported instead of an uninformative message that state that 'no slot of name "header" for this object of class "LAScatalog"'

2. Internal code has been modifiy to drastically reduce probability of name intersection in catalog_apply(). For example, the use of a function that have a parameter p in catalog_apply() failed because of partial matching between the true argument p and the internal argument processing_option.

3. lasfilterdecimate with algorithm highest is now more than 20 times faster. lasfiltersurfacepoints, being a proxy of this algorithm, had the same speed-up

4. plot for LAS objects gained the pan capability.

FIXES

1. #267. A dummy character was introduced by mistake in a variable name breaking the automatic exportation of user object in grid_metrics when used with a parallelized plan (tree_metrics was also affected).