• spatial

  • Referenced in 206 articles [sw04502]
  • spatial: Functions for Kriging and Point Pattern Analysis , Functions for kriging and point pattern analysis...
  • DACE

  • Referenced in 108 articles [sw04715]
  • Matlab toolbox for working with kriging approximations to computer models. Typical use of this software ... construct a kriging approximation model based on data from a computer experiment ... evaluate the computer model for constructing the kriging approximation...
  • SPOT

  • Referenced in 46 articles [sw06347]
  • CART and random forest; Gaussian process models (Kriging), and combinations of di erent metamodeling approaches...
  • FRK

  • Referenced in 35 articles [sw19172]
  • package FRK. Fixed Rank Kriging is a tool for spatial/spatio-temporal modelling and prediction with large...
  • DiceKriging

  • Referenced in 19 articles [sw07783]
  • DiceKriging: Kriging methods for computer experiments Estimation, validation and prediction of kriging models. Important functions...
  • DiceOptim

  • Referenced in 17 articles [sw07784]
  • DiceOptim: Kriging-based optimization for computer experiments Expected Improvement. EGO algorithm. Multipoints EI and parallelized ... Constant Liars. Criteria and algorithms for Noisy Kriging-based Optimization , including...
  • Gstat

  • Referenced in 9 articles [sw04488]
  • models (anisotropy coefficients are not fitted automatically). Kriging and (sequential) conditional simulation are done under ... this model include ordinary and simple kriging, ordinary or simple cokriging, universal kriging, external drift ... kriging, Gaussian conditional or unconditional simulation or cosimulation. In addition, variables may share trend coefficients...
  • AK-MCS

  • Referenced in 7 articles [sw18303]
  • active learning reliability method combining Kriging and Monte Carlo Simulation. An important challenge in structural ... researchers in the last decades. However, recently, Kriging, originated from geostatistics, have emerged in reliability ... analysis. Widespread in optimisation, Kriging has just started to appear in uncertainty propagation ... approach based on Monte Carlo Simulation and Kriging metamodel to assess the reliability of structures...
  • EnviroStat

  • Referenced in 12 articles [sw11048]
  • devoted to techniques that are known as kriging. The third part presents the fully general...
  • RandomFields

  • Referenced in 11 articles [sw08188]
  • extreme value random fields; conditional simulation; kriging; maximum likelihood estimation...
  • fields

  • Referenced in 7 articles [sw08187]
  • methods include cubic, and thin plate splines, Kriging and compact covariances for large data sets ... splines and Kriging methods are supporting by functions that can determine the smoothing parameter (nugget...
  • SURROGATES

  • Referenced in 10 articles [sw07575]
  • design, D-optimal and maxmin designs. Surrogates: kriging, polynomial response surface, radial basis neural network...
  • AQUARS

  • Referenced in 6 articles [sw07570]
  • mesh adaptive direct search (MADS) combined with kriging. The results show that the AQUARS methods ... MLSL coupled to MADS with kriging on the watershed calibration problem...
  • gstat

  • Referenced in 8 articles [sw08293]
  • ordinary and universal point or block (co)kriging, sequential Gaussian or indicator (co)simulation; variogram...
  • DECLUS

  • Referenced in 5 articles [sw13524]
  • compared to polygonal declustering and global kriging...
  • 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...
  • geofd

  • Referenced in 2 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...
  • ooDACE

  • Referenced in 1 article [sw12876]
  • ooDACE toolbox: a flexible object-oriented Kriging implementation. When analyzing data from computationally expensive simulation ... space exploration, sensitivity analysis, visualization and optimization. Kriging is a popular surrogate modeling technique used ... Computer Experiments (DACE). Hence, the past decade Kriging has been the subject of extensive research ... many extensions have been proposed, e.g., co-Kriging, stochastic Kriging, blind Kriging, etc. However...
  • UQLab

  • Referenced in 3 articles [sw19740]
  • polynomial chaos expansions, Gaussian process modelling, a.k.a. Kriging, low-rank tensor approximations), rare event estimation...
  • 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...