samuel-rosa/spsann: Optimization of Sample Configurations using Spatial Simulated Annealing
Version 2.1.0.9003

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

Maintainer
LicenseGPL (>= 2)
Version2.1.0.9003
URL https://github.com/samuel-rosa/spsann/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("samuel-rosa/spsann")
samuel-rosa/spsann documentation built on July 21, 2018, 1:12 a.m.