c(
person("Robert J.", "Hijmans", role = c("cre", "aut"),  email = "r.hijmans@gmail.com"),
person("Charles", "Karney", role = "ctb", comment="GeographicLib"),
person("Ed", "Williams", role = "ctb"),
person("Chris", "Vennes", role = "ctb"))
Robert J. Hijmans [cre, aut],
Charles Karney [ctb] (GeographicLib),
Ed Williams [ctb],
Chris Vennes [ctb]

Spatial geostatistics; some geostatistical and radial basis
functions, prediction and cross validation; design of optimal
spatial sampling networks based on geostatistical modelling
Carlos Melo <cmelo@udistrital.edu.co>, Alí Santacruz, Oscar
Melo <oomelom@unal.edu.co> and others
R (>= 2.15.0), geoR, gstat, genalg, limSolve, MASS
This package contains functions for: estimation of the
variogram through trimmed mean, radial basis functions
(optimization, prediction and cross-validation), summary
statistics from cross-validation, pocket plot, and design of
optimal sampling networks through sequential and simultaneous
points methods

R (>= 2.15.0), geoR, gstat, genalg, limSolve, MASS, plyr,
TeachingDemos, gsl

Carlos Melo <cmelo@udistrital.edu.co>, Alí Santacruz, Oscar
Melo <oomelom@unal.edu.co>
nloptr, fields, gsl, plyr, TeachingDemos, sgeostat

Geostatistical Analysis and Design of Optimal Spatial Sampling
Networks
R (>= 2.15.0), gstat, genalg, MASS, sp, minqa
limSolve, fields, gsl, plyr, TeachingDemos, sgeostat
Estimation of the variogram through trimmed mean, radial basis
functions (optimization, prediction and cross-validation), summary
statistics from cross-validation, pocket plot, and design of
optimal sampling networks through sequential and simultaneous
points methods.

limSolve, fields, gsl, plyr, TeachingDemos, sgeostat,
grDevices, stats, methods, graphics, utils

Spatio-Temporal; Inverse Distance Weighting and Radial Basis
Functions with Distance-Based Regression
Carlos Melo, Oscar Melo <oomelom@unal.edu.co>
R (>= 2.15.0), FD, StatMatch, fields, sp
Spatio-temporal: Inverse Distance Weighting (IDW) and radial basis functions; optimization, prediction, summary statistics from leave-one-out cross-validation, adjusting distance-based linear regression model and generation of the principal coordinates of a new individual from Gower's distance.