spsann: 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, trend estimation, and spatial interpolation. A general purpose spatial simulated annealing function enables the user to define his/her own objective function.

Version: 1.0-2
Imports: pedometrics, Rcpp (≥ 0.11.3), sp, SpatialTools
LinkingTo: Rcpp
Suggests: gstat
Published: 2015-10-26
Author: 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]
Maintainer: Alessandro Samuel-Rosa <alessandrosamuelrosa at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README
CRAN checks: spsann results

Downloads:

Reference manual: spsann.pdf
Package source: spsann_1.0-2.tar.gz
Windows binaries: r-devel: spsann_1.0-2.zip, r-release: spsann_1.0-2.zip, r-oldrel: spsann_1.0-2.zip
OS X Snow Leopard binaries: r-release: spsann_1.0.1.tgz, r-oldrel: not available
OS X Mavericks binaries: r-release: spsann_1.0-2.tgz
Old sources: spsann archive