#include "gstlearn_export.hpp"
#include "geoslib_define.h"
#include "Enum/EKrigOpt.hpp"
#include "Calculators/ACalcInterpolator.hpp"
#include "Matrix/MatrixRectangular.hpp"
#include "Matrix/MatrixSquareSymmetric.hpp"
#include "Anamorphosis/AAnam.hpp"
Classes | |
class | Krigtest_Res |
class | CalcKriging |
Functions | |
GSTLEARN_EXPORT int | kriging (Db *dbin, Db *dbout, Model *model, ANeigh *neigh, const EKrigOpt &calcul=EKrigOpt::fromKey("POINT"), bool flag_est=true, bool flag_std=true, bool flag_varz=false, const VectorInt &ndiscs=VectorInt(), const VectorInt &rank_colcok=VectorInt(), const MatrixRectangular *matLC=nullptr, const NamingConvention &namconv=NamingConvention("Kriging")) |
GSTLEARN_EXPORT int | krigcell (Db *dbin, Db *dbout, Model *model, ANeigh *neigh, bool flag_est=true, bool flag_std=true, const VectorInt &ndiscs=VectorInt(), const VectorInt &rank_colcok=VectorInt(), const NamingConvention &namconv=NamingConvention("KrigCell")) |
GSTLEARN_EXPORT int | kribayes (Db *dbin, Db *dbout, Model *model, ANeigh *neigh, const VectorDouble &prior_mean=VectorDouble(), const MatrixSquareSymmetric &prior_cov=MatrixSquareSymmetric(), bool flag_est=true, bool flag_std=true, const NamingConvention &namconv=NamingConvention("Bayes")) |
GSTLEARN_EXPORT int | krigprof (Db *dbin, Db *dbout, Model *model, ANeigh *neigh, bool flag_est=true, bool flag_std=true, const NamingConvention &namconv=NamingConvention("KrigProf")) |
GSTLEARN_EXPORT int | kriggam (Db *dbin, Db *dbout, Model *model, ANeigh *neigh, AAnam *anam, const NamingConvention &namconv=NamingConvention("KrigGam")) |
GSTLEARN_EXPORT Krigtest_Res | krigtest (Db *dbin, Db *dbout, Model *model, ANeigh *neigh, int iech0=0, const EKrigOpt &calcul=EKrigOpt::fromKey("POINT"), const VectorInt &ndiscs=VectorInt(), bool flagPerCell=false, bool verbose=true) |
GSTLEARN_EXPORT int | xvalid (Db *db, Model *model, ANeigh *neigh, bool flag_kfold=false, int flag_xvalid_est=1, int flag_xvalid_std=1, int flag_xvalid_varz=0, const VectorInt &rank_colcok=VectorInt(), const NamingConvention &namconv=NamingConvention("Xvalid")) |
GSTLEARN_EXPORT int | test_neigh (Db *dbin, Db *dbout, Model *model, ANeigh *neigh, const NamingConvention &namconv=NamingConvention("Neigh")) |
GSTLEARN_EXPORT int kribayes | ( | Db * | dbin, |
Db * | dbout, | ||
Model * | model, | ||
ANeigh * | neigh, | ||
const VectorDouble & | prior_mean, | ||
const MatrixSquareSymmetric & | prior_cov, | ||
bool | flag_est, | ||
bool | flag_std, | ||
const NamingConvention & | namconv | ||
) |
Estimation with Bayesian Drift
[in] | dbin | input Db structure |
[in] | dbout | output Db structure |
[in] | model | Model structure |
[in] | neigh | ANeigh structure |
[in] | prior_mean | Array giving the prior means for the drift terms |
[in] | prior_cov | Array containing the prior covariance matrix for the drift terms |
[in] | flag_est | Pointer for the storing the estimation |
[in] | flag_std | Pointer for the storing the standard deviation |
[in] | namconv | Naming convention |
GSTLEARN_EXPORT int krigcell | ( | Db * | dbin, |
Db * | dbout, | ||
Model * | model, | ||
ANeigh * | neigh, | ||
bool | flag_est, | ||
bool | flag_std, | ||
const VectorInt & | ndiscs, | ||
const VectorInt & | rank_colcok, | ||
const NamingConvention & | namconv | ||
) |
Standard Block Kriging with variable cell dimension
[in] | dbin | Input Db structure |
[in] | dbout | Output Db structure |
[in] | model | Model structure |
[in] | neigh | ANeigh structure |
[in] | ndiscs | Array giving the discretization counts |
[in] | flag_est | Option for the storing the estimation |
[in] | flag_std | Option for the storing the standard deviation |
[in] | rank_colcok | Option for running Collocated Cokriging |
[in] | namconv | Naming convention |
GSTLEARN_EXPORT int kriging | ( | Db * | dbin, |
Db * | dbout, | ||
Model * | model, | ||
ANeigh * | neigh, | ||
const EKrigOpt & | calcul, | ||
bool | flag_est, | ||
bool | flag_std, | ||
bool | flag_varz, | ||
const VectorInt & | ndiscs, | ||
const VectorInt & | rank_colcok, | ||
const MatrixRectangular * | matLC, | ||
const NamingConvention & | namconv | ||
) |
Standard Kriging
[in] | dbin | Input Db structure |
[in] | dbout | Output Db structure |
[in] | model | Model structure |
[in] | neigh | ANeigh structure |
[in] | calcul | Kriging calculation option (EKrigOpt) |
[in] | ndiscs | Array giving the discretization counts |
[in] | flag_est | Option for storing the estimation |
[in] | flag_std | Option for storing the standard deviation |
[in] | flag_varz | Option for storing the variance of the estimator (only available for stationary model) |
[in] | rank_colcok | Option for running Collocated Cokriging |
[in] | matLC | Matrix of linear combination (or NULL) (Dimension: nvarLC * model->getNVar()) |
[in] | namconv | Naming convention |
GSTLEARN_EXPORT int krigprof | ( | Db * | dbin, |
Db * | dbout, | ||
Model * | model, | ||
ANeigh * | neigh, | ||
bool | flag_est, | ||
bool | flag_std, | ||
const NamingConvention & | namconv | ||
) |
Punctual Kriging based on profiles
GSTLEARN_EXPORT Krigtest_Res krigtest | ( | Db * | dbin, |
Db * | dbout, | ||
Model * | model, | ||
ANeigh * | neigh, | ||
int | iech0, | ||
const EKrigOpt & | calcul, | ||
const VectorInt & | ndiscs, | ||
bool | flagPerCell, | ||
bool | verbose | ||
) |
Perform kriging and return the calculation elements
[in] | dbin | input Db structure |
[in] | dbout | output Db structure |
[in] | model | Model structure |
[in] | neigh | ANeigh structure |
[in] | iech0 | Rank of the target sample |
[in] | calcul | Kriging calculation option (EKrigOpt) |
[in] | ndiscs | Array giving the discretization counts |
[in] | flagPerCell | Use local block extensions (when defined) |
[in] | verbose | When TRUE, the full debugging flag is switched ON (the current status is reset after the run) |
GSTLEARN_EXPORT int test_neigh | ( | Db * | dbin, |
Db * | dbout, | ||
Model * | model, | ||
ANeigh * | neigh, | ||
const NamingConvention & | namconv | ||
) |
Check the Neighborhood
[in] | dbin | input Db structure |
[in] | dbout | output Db structure |
[in] | model | Model structure (optional) |
[in] | neigh | ANeigh structure |
[in] | namconv | Naming Convention |
GSTLEARN_EXPORT int xvalid | ( | Db * | db, |
Model * | model, | ||
ANeigh * | neigh, | ||
bool | flag_kfold, | ||
int | flag_xvalid_est, | ||
int | flag_xvalid_std, | ||
int | flag_xvalid_varz, | ||
const VectorInt & | rank_colcok, | ||
const NamingConvention & | namconv | ||
) |
Standard Cross-Validation
db | Db structure |
model | Model structure |
neigh | ANeigh structure |
flag_kfold | True if a code (K-FOLD) is used |
flag_xvalid_est | Option for storing the estimation: 1 for Z*-Z; -1 for Z*; 0 not stored |
flag_xvalid_std | Option for storing the standard deviation: 1:for (Z*-Z)/S; -1 for S; 0 not stored |
flag_xvalid_varz | Option for storing the variance of the estimator: 1 to store and 0 not stored |
rank_colcok | Option for running Collocated Cokriging |
namconv | Naming Convention |