DESCRIPTION

Package: spThin
Type: Package
Title: Functions for Spatial Thinning of Species Occurrence Records for Use in
    Ecological Models
Version: 1.0.0
Date: 2015-07-12
Authors@R: c(
	person(c("Mathew", "E"), "Aiello-Lammens", email = "matt.lammens@gmail.com", role = c("aut", "cre")),
	person("Jeff", "Hanson", role = c("aut")),
	person(c("Robert", "A"), "Boria", role = c("aut")),
	person("Aleksandar", "Radosavljevic", role = c("aut")),
	person("Bruno", "Vilela", role = c("aut")),
	person(c("Robert", "P"), "Anderson", role = c("aut")))
Description: Functions to spatially rarefy and thin species occurrence data.
    These procedures can ameliorate sampling bias, and fit better ecological
    niche models. Data can be thinned used exact-algorithm solvers ('lp_solve' and
    'Gurobi') and a heuristic. To thin data using Gurobi, the gurobi R package will
    need to be installed from <http://www.gurobi.com/>.
Imports:
    gridExtra,
    hexbin,
    lpSolveAPI,
    Matrix,
    raster,
    rgeos,
    rgdal,
    sp,
    slam
Depends:
    ggplot2,
    methods
LinkingTo: Rcpp,
    RcppEigen
LazyData: true
License: GPL-3
VignetteBuilder: knitr
Suggests:
    knitr,
    testthat,
    fields
Enhances: gurobi
SystemRequirements: C++11
Collate:
    'Heteromys_anomalus_South_America.R'
    'RcppExports.R'
    'generics.R'
    'dependencies.R'
    'SpPartial.R'
    'SpRarefy.R'
    'spThin-internal.R'
    'SpThin.R'
    'make.grid.R'
    'rarefy.R'
    'thin.R'