dk {RGeostats}  R Documentation 
Disjunctive Kriging
dk(dbin, dbgrid, model = model.input(), neigh = neigh.input(), nmult=NA, ndisc = NA, nfactor=NA, flag.est = TRUE, flag.std = TRUE, radix = "DK",modify.target = db.locmod())
dbin 
The 
dbgrid 
The 
model 
The

neigh 
The 
nmult 
When a Block Anamorphosis is specified (through the 'model' argument), the user can calculate the Q,T results either on each SMU (the argument 'dbgrid' then corresponds to the grid of SMUs) or directly on each panel. In the latter case, the argument 'dbgrid' is the grid of panels and the argument 'nmult' defines the way a panel is partitioned in SMUs. 
ndisc 
Array giving the number of discretisation points in each direction of the space. If the dimension of the argument 'ndisc' does not match the space dimension, this vector is set to 1 in each direction, leading to a point estimation. This discretization is used when the block average of the discretized grade is calculated using the Disjunctive Kriging approach. 
nfactor 
The number of factors that must be estimated. This number must be smaller than the number of classes in the Discrete Anamorphosis. If undefined, all the factors will be treated. 
flag.est 
When TRUE, the estimations are required: the estimation of all active factors as well as the reconstructed discretized grade. 
flag.std 
When TRUE, the standard deviation of estimations are required: the standard deviation of all active factors as well as the reconstructed discretized grade. 
radix 
Radix of the name given to the variables storing the results in the target Db. 
modify.target 
Decides whether or not the newly created variables will have their
locator defined or not. For more information, see 
The target Db where the following variables have been added:
the estimation variables (if flag.est=TRUE)
the standard deviation variables (if flag.std=TRUE)