samuel-rosa/spsann: Optimization of Sample Configurations using Spatial Simulated Annealing
Version 2.1-0

Methods to optimize 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. Solutions for augmenting existing sample configurations and solving multi-objective optimization problems are available as well.

Getting started

Package details

LicenseGPL (>= 2)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
samuel-rosa/spsann documentation built on June 26, 2017, 1:02 p.m.