Fast Nearest Neighbor Search Algorithms and Applications
A collection of fast k-nearest neighbor search algorithms
and applications including a cover-tree, kd-tree and the
nearest neighbor algorithm in package class. In addition, KNN
classification, regression and information measures are also
implemented.

Alina Beygelzimer, Sham Kakadet and John Langford (cover tree library),
Sunil Arya and David Mount (ANN library 1.1.2 for the kd-tree approach), Shengqiao Li
ANN Copyright (c) 1997-2010 University of Maryland and Sunil
Arya and David Mount. All Rights Reserved.
Cover-tree and kd-tree fast k-nearest neighbor search algorithms and related applications
including KNN classification, regression and information measures are implemented.
Orphaned on 2018-08-10 as C++ issues were not corrected
since 2017 despite reminders.

Alina Beygelzimer, Sham Kakadet and John Langford (cover tree library),
Sunil Arya and David Mount (ANN library for the kd-tree approach), Shengqiao Li

Feature Ordering by Conditional Independence
c(person("Mona", "Azadkia", email = "monaazadkia@gmail.com",
role = c("aut", "cre")),
person("Sourav", "Chatterjee", email = "souravc@stanford.edu",
role = c("aut", "ctb")))
Feature Ordering by Conditional Independence (FOCI) is a variable selection algorithm based on the measure of conditional dependence.
For more information, see the paper: Azadkia and Chatterjee (2019),"A simple measure of conditional dependence" <arXiv:1910.12327>.
Mona Azadkia [aut, cre],
Sourav Chatterjee [aut, ctb]

c(person("Mona", "Azadkia", email = "monaazadkia@gmail.com",
role = c("aut", "cre")),
person("Sourav", "Chatterjee", email = "souravc@stanford.edu",
role = c("aut", "ctb")),
person("Norman", "Matloff", email = "nsmatloff@ucdavis.edu",
role = c("aut", "ctb")))
Mona Azadkia [aut, cre],
Sourav Chatterjee [aut, ctb],
Norman Matloff [aut, ctb]

Automatic Processing of TLS Point Cloud Data for Forestry
Purposes
c(
person("Juan Alberto", "Molina-Valero", role = c("aut", "cph", "cre"),
email = "juanalberto.molina.valero@usc.es"),
person("María José", "Ginzo Villamayor", role = c("aut", "com")),
person("Manuel Antonio", "Novo Pérez", role = c("aut", "com")),
person("Adela", "Martínez-Calvo", role = c("aut", "com")),
person("Juan Gabriel", "Álvarez-González", role = c("aut", "ths")),
person("Fernando", "Montes", role = "aut"),
person("César", "Pérez-Cruzado", role = c("aut", "ths")))
Juan Alberto Molina-Valero [aut, cph, cre],
María José Ginzo Villamayor [aut, com],
Manuel Antonio Novo Pérez [aut, com],
Adela Martínez-Calvo [aut, com],
Juan Gabriel Álvarez-González [aut, ths],
Fernando Montes [aut],
César Pérez-Cruzado [aut, ths]
Process automation of Terrestrial Laser Scanner (TLS) point cloud data derived from single scans. 'FORTLS' enables (i) detection of trees and estimation of diameter at breast height (dbh), (ii) estimation of some stand variables (e.g. density, basal area, mean and dominant height), (iii) computation of metrics related to important forest attributes estimated in Forest Inventories (FIs) at stand level and (iv) optimization of plot design for combining TLS data and field measured data. Documentation about 'FORTLS' is described in Molina-Valero et al. (2020, <doi:10.3390/IECF2020-08066>).
dbscan, Distance, ggvoronoi, htmlwidgets, lidR, plotly,
progress, Rcpp(>= 1.0.5), raster, scales, sp, tidyr, vroom