ssaOptim {intamapInteractive} | R Documentation |
nDiff measurement stations will be optimally Optimization of measurement network with Spatial simulated annealing and MUKV
ssaOptim(observations, predGrid, candidates, action, nDiff, model, nr_iterations, plotOptim, ...)
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 |
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.
Data frame of optimized locations
Olivier Baume