spsann: Optimization of Sample Configurations using Spatial Simulated Annealing
Version 2.0-0

Methods to optimize spatial sample configurations using spatial simulated annealing. Multiple objective functions are implemented for various purposes, such as variogram estimation, spatial trend estimation, and spatial interpolation. A general purpose spatial simulated annealing function enables the user to define his/her own objective function.

Package details

AuthorAlessandro Samuel-Rosa [aut, cre], Lucia Helena Cunha dos Anjos [ths], Gustavo de Mattos Vasques [ths], Gerard B M Heuvelink [ths], Edzer Pebesma [ctb], Jon Skoien [ctb], Joshua French [ctb], Pierre Roudier [ctb], Dick Brus [ctb], Murray Lark [ctb]
Date of publication2016-03-15 06:33:00
MaintainerAlessandro Samuel-Rosa <alessandrosamuelrosa@gmail.com>
LicenseGPL (>= 2)
Version2.0-0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("spsann")

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spsann documentation built on May 29, 2017, 11:53 a.m.