spsann v2.2.0
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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, 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.
Readme
Optimization of Sample Configurations using Spatial Simulated Annealing
Installation
The spsann package was created to help you creating optimum spatial
sample configurations using the power of spatial simulated annealing. It
can be downloaded from CRAN
using:
install.packages(pkgs = "spsann")
The development version of spsann, available at
GitHub, can be downloaded --
using the devtools package -- with:
if (!require(devtools)) {
install.packages(pkgs = "devtools")
}
devtools::install_github("samuel-rosa/spsann")
How to collaborate
We use the fork & pull collaborative development model. This means that you are free to make a parallel copy of this repository, change the source code as you see fit, and then push the changes to your personal copy of this repository. All this without requiring any authorization. If the changes you've made to your personal copy of this repository are interesting and you're willing to share them with us, then just have them pulled -- pull request -- to this repository. After reviewing the changes, we will decide whether they can be merged -- merge -- with the source code of this repository.
Functions in spsann
| Name | Description | |
| optimDIST | Optimization of sample configurations for spatial trend identification and estimation (II) | |
| objSPSANN | Auxiliary tools | |
| optimCLHS | Optimization of sample configurations for spatial trend identification and estimation (IV) | |
| minmaxPareto | Pareto minimum and maximum values | |
| spsann-package | The spsann Package | |
| plot.OptimizedSampleConfiguration | Plot an optimized sample configuration | |
| optimACDC | Optimization of sample configurations for spatial trend identification and estimation (III) | |
| optimCORR | Optimization of sample configurations for spatial trend identification and estimation (I) | |
| optimUSER | Optimization of sample configurations using a user-defined objective function | |
| optimPPL | Optimization of sample configurations for variogram identification and estimation | |
| optimSPAN | Optimization of sample configurations for variogram and spatial trend identification and estimation, and for spatial interpolation | |
| optimMKV | Optimization of sample configurations for spatial interpolation (II) | |
| scheduleSPSANN | spsann annealing schedule | |
| spJitter | Random perturbation of spatial points | |
| optimMSSD | Optimization of sample configurations for spatial interpolation (I) | |
| No Results! | ||
Vignettes of spsann
| Name | ||
| spsann.Rnw | ||
| No Results! | ||
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Details
| Type | Package |
| Date | 2019-04-28 |
| License | GPL (>= 2) |
| LinkingTo | Rcpp |
| Encoding | UTF-8 |
| RoxygenNote | 6.1.1 |
| VignetteBuilder | knitr |
| URL | https://github.com/samuel-rosa/spsann/ |
| BugReports | https://github.com/samuel-rosa/spsann/issues/ |
| Language | en-GB |
| NeedsCompilation | yes |
| Packaged | 2019-04-29 12:04:25 UTC; alessandro |
| Repository | CRAN |
| Date/Publication | 2019-04-29 12:20:03 UTC |
| suggests | gstat , knitr , tcltk |
| imports | methods , pedometrics , Rcpp , sp , SpatialTools |
| Contributors | Joshua French, Gerard Heuvelink, Edzer Pebesma, Jon Skoien, LĂșcia Anjos, Gustavo Vasques, Dick Brus, Pierre Roudier, Murray Lark |
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