
geofd
 Referenced in 7 articles
[sw08390]
 package geofd which implements ordinary kriging prediction for this type of data. Initially the curves ... parameters for performing prediction by ordinary kriging at unsampled locations are by estimated solving...

LatticeKrig
 Referenced in 5 articles
[sw15594]
 package LatticeKrig: Multiresolution Kriging Based on Markov Random Fields. Methods for the interpolation of large ... datasets. This package follows a ”fixed rank Kriging” approach using a large number of basis...

DECLUS
 Referenced in 7 articles
[sw13524]
 compared to polygonal declustering and global kriging...

GPareto
 Referenced in 6 articles
[sw28711]
 Optimization. Gaussian process regression models, a.k.a. Kriging models, are applied to global multiobjective optimization...

constrKriging
 Referenced in 3 articles
[sw23490]
 package constrKriging: Kriging with inequality constraints for computer experiments. This repository contains an R Package ... build, simulate, predict kriging model using inequality constraints such as boundedness, monotonicity and convexity. Kriging...

convoSPAT
 Referenced in 5 articles
[sw15289]
 stationary spatial models for comparison, calculate the kriging predictor and standard errors, and create various...

mGstat
 Referenced in 2 articles
[sw15246]
 geostatistical toolbox for Matlab. It provides Native kriging kriging algorithms: Simple kriging, ordinary kriging ... space. Thus, for example TimeSpace kriging can be used. Synthetic semivariogram can be calculated...

AUTOIK
 Referenced in 2 articles
[sw21228]
 AUTOIK: a 2D indicator kriging program for the automated nonparametric modeling of local ... uncertainty in earth sciences. Indicator kriging provides a flexible interpolation approach that is well suited ... pollutant concentrations). To apply indicator kriging at its full potential requires, however, the tedious inference ... benefit of using more thresholds when indicator kriging is implemented with a linear interpolation model...

GsTL
 Referenced in 2 articles
[sw37132]
 algorithms for geostatistics. The algorithms provided include: Kriging : simple kriging (SK) , ordinary kriging ... kriging with trend (KT); Cokriging : simple or ordinary, using either the full cokriging system...

ctmm
 Referenced in 4 articles
[sw21677]
 periodogram analysis, Kalmanfilter maximumlikelihood estimation, Kriging, simulation, and autocorrelated kerneldensity homerange...

DSSIMHR
 Referenced in 4 articles
[sw31913]
 distribution is Gaussian with parameters given by kriging. Direct sequential simulation does not require...

Emlk2d
 Referenced in 2 articles
[sw13516]
 spatial estimation using empirical maximum likelihood kriging. The authors describe a Fortran90 program ... empirical maximum likelihood kriging. More efficient estimates are obtained by solving the estimation problem ... experimental data), where the simple kriging estimate is equivalent to the maximum likelihood estimate...

STK
 Referenced in 2 articles
[sw23922]
 Small (Matlab/Octave) Toolbox for Kriging. The STK is a (not so) Small Toolbox for Kriging ... interpolation/regression technique known as kriging, which is very closely related to Splines and Radial Basis...

georob
 Referenced in 2 articles
[sw16055]
 customary point and block externaldrift kriging predictions, along with utility functions for variogram modelling ... validation and for unbiased backtransformation of kriging predictions of logtransformed data...

MPErK
 Referenced in 2 articles
[sw23610]
 MPErK: MATLAB Parametric Empirical Kriging. MPErK (a MATLAB program for Parametric Empirical Kriging...

npsp
 Referenced in 3 articles
[sw31433]
 variogram functions (for spatial processes). Nonparametric residual kriging (spatial prediction...

Stochastic kriging
 Referenced in 1 article
[sw12891]
 Stochastic kriging is a metamodeling methodology developed for stochastic simulation experiments; it is based ... highly successful kriging method for the design and analysis of computer experiments. Stochastic kriging distinguishes ... also based on spatial correlation concepts. Stochastic kriging facilitates adaptive, sequential experiment designs that systematically ... userspecified level. The stochastic kriging Matlab software available from this web site is distributed...

UVKRIG
 Referenced in 1 article
[sw22236]
 UVKRIG: a FORTRAN77 program for universal Kriging. The application of universal kriging to weakly ... equation solution differs for universal kriging from that for simple or ordinary kriging. UVKRIG ... elimination algorithm is used to solve universal kriging equations. Application of UVKRIG to a weakly...

KT3D
 Referenced in 1 article
[sw20826]
 BATGAM © was KT3D for threedimensional kriging of points or blocks using a variety ... kriging options. In addition to interfacing with the user’s input data and calculating ... gridded file of kriged estimates, BATGAM © also includes a simple module for color display ... kriging results...

krisp
 Referenced in 1 article
[sw14717]
 krisp: Kriging based regression and optimization package for Scilab. This toolbox implements kriging based regression ... main components: 1. functions for creation of kriging model for deterministic or noisy data (correlation...