• gstat

  • Referenced in 49 articles [sw08293]
  • gstat: spatial and spatio-temporal geostatistical modelling, prediction and simulation. variogram modelling; simple, ordinary...
  • Gstat

  • Referenced in 24 articles [sw04488]
  • computer code for multivariable geostatistical modelling, prediction and simulation. It can calculate sample variograms...
  • SGeMS

  • Referenced in 65 articles [sw13298]
  • geostatistics algorithms, such as kriging of one or more variables, sequential and multiple-point simulations ... system of plug-ins which allow new geostatistical algorithms to be integrated, import/export filters...
  • T-PROGS

  • Referenced in 8 articles [sw09170]
  • transition probability/Markov approach to geostatistical simulation of categorical variables...
  • DSSIM-HR

  • Referenced in 4 articles [sw31913]
  • Sequential simulation is a frequently used geostatistical simulation technique. The most widely used version...
  • MPSlib

  • Referenced in 3 articles [sw38398]
  • simulation of multiple-point statistical models. Geostatistical simulation methods allow simulation of spatial structures...
  • AK-MCS

  • Referenced in 72 articles [sw18303]
  • reliability method combining Kriging and Monte Carlo Simulation. An important challenge in structural reliability ... last decades. However, recently, Kriging, originated from geostatistics, have emerged in reliability analysis. Widespread ... iterative approach based on Monte Carlo Simulation and Kriging metamodel to assess the reliability...
  • SNESIM

  • Referenced in 7 articles [sw13366]
  • memory issues in multiple-point statistics simulation program SNESIM. In the last 10 years, Multiple ... Point Statistics (MPS) modeling has emerged in Geostatistics as a valuable alternative to traditional variogram ... objectbased modeling. In contrast to variogram-based simulation, which is limited to twopoint correlation reproduction...
  • RGeostats

  • Referenced in 8 articles [sw14639]
  • also a platform allowing the geostatistics group of the Geosciences Department to develop prototypes ... applying new models (examples: Boolean simulations, bi-plurigaussian simulations) or new methods (fluid propagation, first...
  • geofd

  • Referenced in 7 articles [sw08390]
  • geofd: an R package for function-valued geostatistical prediction. Spatially correlated curves are present ... illustrate the software analyzing real and simulated data...
  • NSCORF

  • Referenced in 1 article [sw20828]
  • BATGAM© geostatistical software based on GSLIB. ... In addition, three other auxiliary programs have been implemented ... because they are useful when conducting conditional simulations. These programs are NSCORE, for performing...
  • GAM

  • Referenced in 1 article [sw20830]
  • BATGAM© geostatistical software based on GSLIB. ... In addition, three other auxiliary programs have been implemented ... because they are useful when conducting conditional simulations. These programs are NSCORE, for performing...
  • BACKTR

  • Referenced in 1 article [sw20831]
  • BATGAM© geostatistical software based on GSLIB. ... In addition, three other auxiliary programs have been implemented ... because they are useful when conducting conditional simulations. These programs are NSCORE, for performing...
  • ExaGeoStat

  • Referenced in 6 articles [sw30062]
  • ExaGeoStat: A High Performance Unified Software for Geostatistics on Manycore Systems. We present ExaGeoStat ... climate and environment modeling. In contrast to simulation based on partial differential equations derived from...
  • geoCount

  • Referenced in 2 articles [sw24240]
  • model geostatistical count data with generalized linear spatial models, including 1) simulate and visualize...
  • SGSIM

  • Referenced in 1 article [sw20827]
  • BATGAM© geostatistical software based on GSLIB. .. The third GSLIB program implemented in BATGAM © was SGSIM ... three-dimensional, sequential Gaussian conditional simulation of continuous variables...
  • GsTL

  • Referenced in 2 articles [sw37132]
  • comprehensive set of tools and algorithms for geostatistics. The algorithms provided include: Kriging : simple kriging ... Markov models MM1 or MM2; Sequential Simulation : Gaussian simulation, indicator simulation, or multiple-points statistics...
  • gcKrig

  • Referenced in 1 article [sw18000]
  • model geostatistical count data with Gaussian copulas, including 1) data simulation and visualization; 2) correlation...
  • BATGAM

  • Referenced in 1 article [sw20825]
  • performing many geostatistical analyses, such as semivariogram calculations, kriging, and conditional simulation (Deutsch and Journel...
  • constrainedKriging

  • Referenced in 1 article [sw19016]
  • geostatistical tools available in R and provides a veritable alternative to conditional simulation for nonlinear...