v1.2.1

lidR v1.2.1 (Release data: 2017-06-12)

NEW FEATURES

• new function tree_metrics.
• new function stdtreemetrics.
• grid_tincanopy() gains a parameter subcircle like grid_canopy()
• new function rumple_index for measuring roughness of a digital model (terrain or canopy)
• global options to parameterize the package - avaible with lidr_options()

BUG FIXES

• Installation fails if package sp is missing.
• Memory leak in QuadTree algorithm. Memory is now free after QuadTree deletion.
• Dalponte's algorithm had a bug due to the use of std::abs which works with intergers. Replaced by std::fabs which works with doubles.
• In grid_tincanopy x > 0 was replaced by x >= 0 to avoid errors in the canopy height models
• Triangle boudaries are now taken into account in the rasterization of the Delaunay triangulation

OTHER CHANGES

• lastrees Li et al. algorithm for tree segmentation is now ten to a thousand of times faster than in v1.2.0
• grid_terrain, the interpolation is now done only within the convex hull of the point cloud
• grid_tincanopy makes the triangulation only for highest return per grid cell.
• grid_tincanopy and grid_terrain using Delaunay triangulation is now ten to a hundred times faster than in v1.2.0
• as.raster now relies on sp and is more flexible
• as.raster automatically returns a RasterStack if no layer is provided.
• plot.lasmetrics inherits as.raster changes and can display a RasterStack