• 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 multi-objective 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 Time-Space kriging can be used. Synthetic semivariogram can be calculated...
  • AUTO-IK

  • Referenced in 2 articles [sw21228]
  • AUTO-IK: a 2D indicator kriging program for the automated non-parametric 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, Kalman-filter maximum-likelihood estimation, Kriging, simulation, and autocorrelated kernel-density home-range...
  • DSSIM-HR

  • 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 Fortran-90 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 external-drift kriging predictions, along with utility functions for variogram modelling ... validation and for unbiased back-transformation of kriging predictions of log-transformed 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 ... user-specified level. The stochastic kriging Matlab software available from this web site is distributed...
  • UVKRIG

  • Referenced in 1 article [sw22236]
  • UVKRIG: a FORTRAN-77 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 three-dimensional 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...