Package: TreeLS
Type: Package
Title: Terrestrial Point Cloud Processing of Forest Data
Version: 2.0.2
Date: 2020-08-21
Authors@R: c(person("Tiago", "de Conto", email = "tdc.florestal@gmail.com", role = c("aut", "cre")))
Description: High performance algorithms for manipulation of terrestrial 'LiDAR' (but not only) point clouds for use in research and forest monitoring applications, being fully compatible with the 'LAS' infrastructure of 'lidR'. For in depth descriptions of stem denoising and segmentation algorithms refer to Conto et al. (2017) <doi:10.1016/j.compag.2017.10.019>.
URL: https://github.com/tiagodc/TreeLS
Depends: R (>= 3.3.0), data.table (>= 1.12.0), magrittr (>= 1.5), lidR
        (>= 3.0.0)
Imports: rgl, raster, sp, deldir, dismo, nabor, benchmarkme, rlas,
        glue, mathjaxr
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: RcppArmadillo,Rcpp,BH,RcppEigen
RoxygenNote: 7.1.1
RdMacros: mathjaxr
NeedsCompilation: yes
Packaged: 2020-08-25 20:56:40 UTC; tiago
Author: Tiago de Conto [aut, cre]
Maintainer: Tiago de Conto <tdc.florestal@gmail.com>
Repository: CRAN
Date/Publication: 2020-08-26 16:20:03 UTC
