
Changelog
lidaRtRee 4.0.9
- repository moved to https://forge.inrae.fr/lidar/lidaRtRee/, tutorials moved to https://lidar.pages-forge.inrae.fr/lidaRtRee/
New
-
gpstime2Date()function to convert thegpstimefield into UTC date.
Fix
-
tree_detection()does not print “hardcopy” anymore when used with argumentcrown = TRUE. - Fixed error due to different numbers of rows in binding inside
aba_build_model(), whenNArows are removed fromvariablewhilexyis also provided. -
terrain_point_metrics()does not return an error anymore when plane fitting is not possible e.g. due to low number of points.
lidaRtRee 4.0.7
New
-
clouds_tree_metrics()now has aroiargument to select trees to retain for subsequent computation based on spatial object. -
ABA_predict()now has a...argument to pass additional arguments tostats::predict.lm().
Change
-
boxcox_tr()andboxcox_itr()do not automatically replace0withNAanymore. -
RasterLayerobjects are not supported anymore as therasterpackage is now obsolete. - in
aba_build_model(), when specified the minimumthresholdparameter now replaces non finite values in predictions. - added
...argument inaba_build_model(): passed toleaps::regsubsets()
lidaRtRee 4.0.6
New
-
raster_metrics()now has astartargument to align on predefined grid.
lidaRtRee 4.0.5
CRAN release: 2023-04-07
Change
-
max.widthparameter in functionmaxima_detection()is now expected to be in raster units if aSpatRasteris provided; default value is now11. - Function
tree_segmentation()now expects arguments passed to sub-functions as...rather than named arguments; default values for those sub-functions were modified to match with the default values which were used intree_segmentation(); a warning is issued in casemax.widthargument (passed tomaxima_detection()) is not consistent with thedminordproparguments (passed tomaxima_selection()).
lidaRtRee 4.0.3
CRAN release: 2022-07-19
Fix
- fixes the number of decimals for WKT coordinates of crown in function
tree_extraction().
lidaRtRee 4.0.2
CRAN release: 2022-07-18
New
- adds a global function
tree_detection()which includes both the segmentation and extraction, and can be applied to SpatRaster, LAS or LAS-catalog objects. -
gap_detection()now also accepts LAS and LAS-catalog objects as input.