spsann (2.1-0)

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Optimization of Sample Configurations using Spatial Simulated Annealing.

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], Lucia Helena Cunha dos Anjos [ths], Gustavo de Mattos Vasques [ths], Gerard B M Heuvelink [ths], Edzer Pebesma [ctb], Jon Skoien [ctb], Joshua French [ctb], Pierre Roudier [ctb], Dick Brus [ctb], Murray Lark [ctb]

License: GPL (>= 2)

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

Released about 1 month ago.


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