krigsampling {RGeostats} | R Documentation |
Perform the Simple Kriging estimation using parcimonious neighborhood
krigsampling(dbin, dbout = NA, model = model.input(), flag.std = TRUE, mean = NA, ranks1 = NA, ranks2 = NA, beta = 0, verbose = FALSE, radix = "Kriging", modify.target = db.locmod())
dbin |
The |
dbout |
The |
model |
The |
flag.std |
TRUE if the calculation of the standard deviation of the estimation error must also be performed. |
mean |
Value for the mean of the variable, used as the process is performed in Simple Kriging |
ranks1 |
Array of ranks of samples selected as exact pivots. |
ranks2 |
Array of ranks of samples selected as ACP pivots. |
beta |
This parameter corresponds to the percentage of samples (although selected in a preliminary sampling) which must be ignored in order to reduce the number of retained pivots. This will reduce the computational time for a posterior kriging activity. |
verbose |
Verbose flag |
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 argument 'dbout' with the newly created variables, i.e.:
The estimated variable
The standa deviation of the estimation error (only if 'flag.std' is TRUE)