Package: TreeLS
Type: Package
Title: Terrestrial Point Cloud Processing of Forest Data
Version: 1.0
Authors@R: c(person("Tiago", "de Conto", email = "ti@forlidar.com.br", role = c("aut", "cre")))
Description: Algorithms for tree detection, noise removal, stem modelling, 3D visualization and manipulation of terrestrial 'LiDAR' (but not only) point clouds, currently focusing on high performance applications for forest inventory - being fully compatible with the 'LAS' infrastructure provided by 'lidR'. For in depth descriptions of the stem classification and segmentation algorithms check out 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
        (>= 2.0.0)
Imports: rgl (>= 0.99.0), raster (>= 2.8.19)
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp,BH,RcppEigen
RoxygenNote: 6.1.0
NeedsCompilation: yes
Packaged: 2019-03-12 21:06:08 UTC; tiago
Author: Tiago de Conto [aut, cre]
Maintainer: Tiago de Conto <ti@forlidar.com.br>
Repository: CRAN
Date/Publication: 2019-03-13 15:43:25 UTC
Built: R 4.0.0; x86_64-w64-mingw32; 2020-04-10 10:42:37 UTC; windows
Archs: i386, x64
