Imports: mvtnorm (>= 1.0-0), rgl, sm, methods, grDevices, stats,
Description: Implements the Range Ancestral State Estimation for phylogeography described in Quintero, I., Keil, P., Jetz, W., & Crawford, F. W. (2015) <DOI:10.1093/sysbio/syv057>. It also includes Bayesian inference of ancestral states under a Brownian Motion model of character evolution and Maximum Likelihood estimation of rase for n-dimensional data. Visualizing functions in 3D are implemented using the rgl package.
Packaged: 2017-03-22 14:01:29 UTC; ignacioquintero

Packaged: 2017-09-22 19:40:16 UTC; ignacioquintero

Title: Raster-Based Spatial Stratification Algorithms
Maintainer: Bryan A. Fuentes <bryandrep@gmail.com>
Authors@R: c(person("Bryan A.", "Fuentes", role = c("aut", "cre"),
person("Minerva J.", "Dorantes", role = c("aut"),
person("John", "Tipton", role = c("aut"),
comment = c(Website = "www.johnrtipton.com")),
person("Robert J.", "Hijmans", role = c("aut"),
Description: Algorithms for the spatial stratification of landscapes, sampling and
modeling of spatially-varying phenomena. These algorithms offers a simple framework
for the stratification of geographic space based on raster layers representing
landscape factors and/or factor scales. The stratification process follows a
hierarchical approach, which is based on first level units (i.e., classification
units) and second-level units (i.e., stratification units). Nonparametric techniques
allow to measure the correspondence between the geographic space and the landscape
configuration represented by the units. These correspondence metrics are useful to
define sampling schemes and to model the spatial variability of environmental
Suggests: testthat (>= 3.0.0), tinytest (>= 1.3.1), doParallel (>=
Author: Bryan A. Fuentes [aut, cre] (<https://orcid.org/0000-0003-3506-7101>),
Minerva J. Dorantes [aut] (<https://orcid.org/0000-0002-2877-832X>),

person("Robert J.", "Hijmans", role = "ctb",
modeling of spatially-varying phenomena. These algorithms offer a simple framework