ssaOptim {intamapInteractive}R Documentation

Spatial simulated annealing for optimized model based mapping

Description

nDiff measurement stations will be optimally Optimization of measurement network with Spatial simulated annealing and MUKV

Usage

ssaOptim(observations, predGrid, candidates, action, nDiff, model,
nr_iterations, plotOptim, ...)

Arguments

observations Data frame with x,y coordinates of observations and possible covariates
predGrid Data frame with x,y coordinates of prediction locations when method is "ssa"
candidates When action is "add", candidates is data frame with x,y coordinates or a SpatialPolygonsDataFrame
action Character string indicating which type of action to simulate: "add" to add new measurement stations to the existing network or "del" to turn off existing stations
nDiff Number of stations to add or delete
model Variogram model:object of class variogramModel, as generated by vgm
nr_iterations number of iterations before stoping
plotOptim plot or not the result; TRUE by default
... other arguments to be passed on lower level functions

Details

This function applies SSA algorithm for the special case of optimization criterion MUKV. With covariates, the function takes a universal kriging model into account. Stopping criterion of the optimization procedure uses a number of searching steps without improvement in the design.

Value

Data frame of optimized locations

Author(s)

Olivier Baume

References

http://www.intamap.org/


[Package intamapInteractive version 1.0-7 Index]