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v3.1.2
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@Jean-Romain Jean-Romain released this 16 Mar 13:56
v3.1.2
05c76c0

lidR v3.1.2 (Release date: 2021-03-11)

  • New: the class LASheader has a new slot @EVLR for the extended variable length records. print() has been extended to display EVLR. While this change is compatible with rlas <= 1.3.9 it is only used with version of rlas >= 1.4.0.
  • New: algorithm lowest() for decimate_points()
  • Fix: usban outside the range of representable values of type 'char' for spatial indexes built with 0 point.
  • Fix: build failure with GCC 4.x
  • Fix: catalog_apply() now works with cluster plan plan(cluster) meaning that it can be used on HPC e.g. with MDPI. We took advantage of this bug to better detect the parallel strategy used and disable or not OpenMP. When lidR is not able to figure out if the strategy involves multiple machines or multiple cores of a single machine, then a warning is thrown and OpenMP is disabled by security. 
    The parallel evaluation strategy was no recognized and lidR does not know if OpenMP should be disabled.
OpenMP has been disabled by security. 
Use options(lidR.check.nested.parallelism = FALSE) and set_lidr_threads() for a fine control of parallelism.
  • Fix: incorrect offset computation in spTransform() have for consequences to make the function failing with error: Non quantizable value outside the range of representable values of type 'int'.
  • Fix: attribution of a WKT string with projection() when using an epsg code as input (projection(las) <- 12345).
  • Fix: partial processing mode now respects the raster alignment when processed by file
  • Fix: readLAScatalog() now reads the WKT CRS of LAS files format 1.4. To support both EPSG and WKT the table of attribute of a LAScatalog now has a column named CRS that replace former column EPSG.
  • Fix: print() for a LAScatalog now prints the CRS exactly like print for LAS.
  • Doc: documentation of options(lidR.check.nested.parallelism = FALSE) was missing. Information can now be found in ?lidR-package and ?lidR-parallelism
  • Enhance: in catalog_apply() if lidR.check.nested.parallelism = FALSE it now respects the input of set_lidr_thread() instead of the output of get_lidr_threads(). For example if set_lidr_thread(0) it now propagates the information 0 (all cores) instead of the output of get_lidr_thread() which might be e.g. 4 on the master worker but might be different on the slave workers. Similarly set_lidr_thread(20) will request 20 cores to the workers even if get_lidr_thread() returns 4 on the local machine.
  • Enhance: set_lidr_thread() accepts inputs < 1 such as 0.5 or 0.25 to mean 'half' or 'quarter' of available cores.
  • Enhance: grid_density() now returns 0 for pixels with 0 points instead of NA which make more sense and corresponds to what should be expected.
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