spsann (2.2.0)

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Optimization of Sample Configurations using Spatial Simulated Annealing.

https://github.com/samuel-rosa/spsann/
http://cran.r-project.org/web/packages/spsann

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.

Maintainer: Alessandro Samuel-Rosa
Author(s): Alessandro Samuel-Rosa [aut, cre] (<https://orcid.org/0000-0003-0877-1320>), Lucia Helena Cunha dos Anjos [ths] (<https://orcid.org/0000-0003-0063-3521>), Gustavo de Mattos Vasques [ths], Gerard B M Heuvelink [ths] (<https://orcid.org/0000-0003-0959-9358>), Dick Brus [ctb] (<https://orcid.org/0000-0003-2194-4783>), Richard Murray Lark [ctb] (<https://orcid.org/0000-0003-2571-8521>), Edzer Pebesma [ctb] (<https://orcid.org/0000-0001-8049-7069>), Jon Skoien [ctb], Joshua French [ctb], Pierre Roudier [ctb]

License: GPL (>= 2)

Uses: pedometrics, Rcpp, sp, SpatialTools, gstat, knitr

Released 7 months ago.


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