sampling {RGeostats} | R Documentation |
Derive a model-based sampling on a Data set
sampling(db, model, beta = 0, mean = NA, nsize1 = 3, nsize2 = 10, method1 = 1, method2 = 1, ranks1 = NA, ranks2 = NA, verbose = FALSE)
db |
The |
model |
The |
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. |
mean |
The sampling is performed in (strict) stationary condition (Simple Kriging method). Then the user must provide the theoretical mean. |
nsize1 |
Number of exact pivots to be retained in the sampling. |
nsize2 |
Number of pivots (driven by ACP) to be retained in the sampling. |
method1 |
Selection criterion for selecting the exact pivots (in the iterative selection algorithm):
|
method2 |
Selection criterion for selecting the ACP pivots (in the iterative selection algorithm):
|
ranks1 |
Array of ranks of samples already selected as exact pivots. It may be empty. |
ranks2 |
Array of ranks of samples already selected as ACP pivots. It may be empty. |
verbose |
Verbose option |
A list containing:
ranks1: The list of selected active pivots
ranks2: The list of ACP pivots
The ranks are counted starting from 1.