README.md

In Laboratorio-de-Pedometria/spsann-package: Optimization of Spatial Samples via Simulated Annealing

Optimization of Spatial Samples via Simulated Annealing

The spsann package was created to help you designing optimum spatial sample configurations using the power of spatial simulated annealing in R.

Installation

The latest stable version of the spsann package generally can be downloaded from the Comprehensive R Archive Network (CRAN).

# Install the spsann package from CRAN
install.packages(pkgs = "spsann")

If the installation from CRAN fails, you can install the development version of the spsann package available on GitHub using the remotes package. If you are using a Windows machine, however, you will have to install Rtools first.

# Install the spsann package from GitHub
if (!require(remotes)) {
  install.packages(pkgs = "remotes")
}
remotes::install_github(repo = "laboratorio-de-pedometria/spsann-package")

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.

Laboratorio-de-Pedometria/spsann-package documentation built on Nov. 2, 2023, 3:14 p.m.