spsann v2.2.0

0

Monthly downloads

0th

Percentile

Optimization of Sample Configurations using Spatial Simulated Annealing

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.

Readme

Optimization of Sample Configurations using Spatial Simulated Annealing

Project Status: Active – The project has reached a stable, usable
state and is being actively
developed. packageversion Build
Status CRAN Rdoc Downloads

Installation

The spsann package was created to help you creating optimum spatial sample configurations using the power of spatial simulated annealing. It can be downloaded from CRAN using:

install.packages(pkgs = "spsann")

The development version of spsann, available at GitHub, can be downloaded -- using the devtools package -- with:

if (!require(devtools)) {
  install.packages(pkgs = "devtools")
}
devtools::install_github("samuel-rosa/spsann")

How to collaborate

We use the fork & pull collaborative development model. This means that you are free to make a parallel copy of this repository, change the source code as you see fit, and then push the changes to your personal copy of this repository. All this without requiring any authorization. If the changes you've made to your personal copy of this repository are interesting and you're willing to share them with us, then just have them pulled -- pull request -- to this repository. After reviewing the changes, we will decide whether they can be merged -- merge -- with the source code of this repository.

Functions in spsann

Name Description
optimDIST Optimization of sample configurations for spatial trend identification and estimation (II)
objSPSANN Auxiliary tools
optimCLHS Optimization of sample configurations for spatial trend identification and estimation (IV)
minmaxPareto Pareto minimum and maximum values
spsann-package The spsann Package
plot.OptimizedSampleConfiguration Plot an optimized sample configuration
optimACDC Optimization of sample configurations for spatial trend identification and estimation (III)
optimCORR Optimization of sample configurations for spatial trend identification and estimation (I)
optimUSER Optimization of sample configurations using a user-defined objective function
optimPPL Optimization of sample configurations for variogram identification and estimation
optimSPAN Optimization of sample configurations for variogram and spatial trend identification and estimation, and for spatial interpolation
optimMKV Optimization of sample configurations for spatial interpolation (II)
scheduleSPSANN spsann annealing schedule
spJitter Random perturbation of spatial points
optimMSSD Optimization of sample configurations for spatial interpolation (I)
No Results!

Vignettes of spsann

Name
spsann.Rnw
No Results!

Last month downloads

Details

Type Package
Date 2019-04-28
License GPL (>= 2)
LinkingTo Rcpp
Encoding UTF-8
RoxygenNote 6.1.1
VignetteBuilder knitr
URL https://github.com/samuel-rosa/spsann/
BugReports https://github.com/samuel-rosa/spsann/issues/
Language en-GB
NeedsCompilation yes
Packaged 2019-04-29 12:04:25 UTC; alessandro
Repository CRAN
Date/Publication 2019-04-29 12:20:03 UTC

Include our badge in your README

[![Rdoc](http://www.rdocumentation.org/badges/version/spsann)](http://www.rdocumentation.org/packages/spsann)