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spsann (version 1.0.1)

Optimization of Sample Configurations using Spatial Simulated Annealing

Description

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.

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Version

Install

install.packages('spsann')

Monthly Downloads

11

Version

1.0.1

License

GPL (>= 2)

Maintainer

Alessandro SamuelRosa

Last Published

July 31st, 2015

Functions in spsann (1.0.1)

optimMKV

Optimization of sample configurations for spatial interpolation
spJitterFinite

Random perturbation of spatial points
spsann-package

spsann: Optimization of Sample Configurations using Spatial Simulated Annealing
optimSPAN

Optimization of sample configurations for variogram and spatial trend identification and estimation, and for spatial interpolation
optimMSSD

Optimization of sample configurations for spatial interpolation
optimUSER

Optimization of sample configurations using a user-defined objective function
optimACDC

Optimization of sample configurations for spatial trend identification and estimation
optimPPL

Optimization of sample configurations for variogram identification and estimation
optimCORR

Optimization of sample configurations for spatial trend identification and estimation
objSPSANN

Auxiliary tools
optimDIST

Optimization of sample configurations for spatial trend identification and estimation