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.
Package details |
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Maintainer | |
License | GPL (>= 2) |
Version | 2.3.1 |
URL | https://github.com/laboratorio-de-pedometria/spsann-package/ |
Package repository | View on GitHub |
Installation |
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