GSLIB is an acronym for Geostatistical Software LIBrary. This name was originally used for a collection of geostatistical programs developed at Stanford University over the last 15 years. The original GSLIB inspired the writing of GSLIB: Geostatistical Software Library and User’s Guide by Clayton Deutsch and André Journel, 1992, 340 pp. during 1990 - 1992. The second edition was completed in 1997. Both editions were published by Oxford University Press.

References in zbMATH (referenced in 162 articles )

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  1. Kaveh, Marjan; Khaledi, Majid Jafari: Estimation in truncated GLG model for ordered categorical spatial data using the SAEM algorithm (2014)
  2. Khaninezhad, Mohammadreza M.; Jafarpour, Behnam: Prior model identification during subsurface flow data integration with adaptive sparse representation techniques (2014)
  3. Lien, Martha; Mannseth, Trond: Facies estimation through data assimilation and structure parameterization (2014)
  4. Silva, Daniel A.; Deutsch, Clayton V.: A multiple training image approach for spatial modeling of geologic domains (2014)
  5. Strebelle, Sebastien; Cavelius, Claude: Solving speed and memory issues in multiple-point statistics simulation program SNESIM (2014)
  6. Bivand, Roger S.; Pebesma, Edzer J.; Gómez-Rubio, Virgilio: Applied spatial data analysis with R (2013)
  7. De Iaco, Sandra; Palma, Monica; Posa, Donato: Prediction of particle pollution through spatio-temporal multivariate geostatistical analysis: spatial special issue (2013)
  8. Horta, Ana; Correia, Pedro; Pinheiro, Luís Menezes; Soares, Amílcar: Geostatistical data integration model for contamination assessment (2013)
  9. Machuca-Mory, David F.; Deutsch, Clayton V.: Non-stationary geostatistical modeling based on distance weighted statistics and distributions (2013)
  10. Sapriza Azuri, Gonzalo; Jódar, Jorge; Carrera, Jesús; Gupta, Hoshin V.: Stochastic simulation of nonstationary rainfall fields, accounting for seasonality and atmospheric circulation pattern evolution (2013)
  11. Sebacher, Bogdan; Hanea, Remus; Heemink, Arnold: A probabilistic parametrization for geological uncertainty estimation using the ensemble Kalman filter (EnKF) (2013)
  12. Tütmez, Bülent; Kaymak, Uzay: Regional spatial analysis combining fuzzy clustering and non-parametric correlation (2013) ioport
  13. Bourgault, Gilles: On the likelihood and fluctuations of Gaussian realizations (2012)
  14. Deutsch, Jared L.; Deutsch, Clayton V.: Latin hypercube sampling with multidimensional uniformity (2012)
  15. Lie, Knut-Andreas; Krogstad, Stein; Ligaarden, Ingeborg Skjelkvåle; Natvig, Jostein Roald; Nilsen, Halvor Møll; Skaflestad, Bård: Open-source MATLAB implementation of consistent discretisations on complex grids (2012)
  16. MacLachlan, S. P.; Moulton, J. D.; Chartier, T. P.: Robust and adaptive multigrid methods: comparing structured and algebraic approaches. (2012)
  17. Rondon, Oscar: Teaching aid: minimum/maximum autocorrelation factors for joint simulation of attributes (2012)
  18. Zhang, Tuanfeng; Pedersen, Stein Inge; Knudby, Christen; McCormick, David: Memory-efficient categorical multi-point statistics algorithms based on compact search trees (2012)
  19. Chen, Yuguang; Park, Kwangwon; Durlofsky, Louis J.: Statistical assignment of upscaled flow functions for an ensemble of geological models (2011)
  20. Emery, Xavier; Peláez, María: Assessing the accuracy of sequential Gaussian simulation and cosimulation (2011)

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