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There are 94936 results for: content related to: Model-based geostatistics

  1. Geography, Spatial Data Analysis, and Geostatistics: An Overview. 地理学、空间数据分析及地统计学:综述

    Geographical Analysis

    Volume 42, Issue 1, January 2010, Pages: 7–31, Robert P. Haining, Ruth Kerry and Margaret A. Oliver

    Version of Record online : 25 JAN 2010, DOI: 10.1111/j.1538-4632.2009.00780.x

  2. Probabilistic inference of multi-Gaussian fields from indirect hydrological data using circulant embedding and dimensionality reduction

    Water Resources Research

    Volume 51, Issue 6, June 2015, Pages: 4224–4243, Eric Laloy, Niklas Linde, Diederik Jacques and Jasper A. Vrugt

    Version of Record online : 12 JUN 2015, DOI: 10.1002/2014WR016395

  3. Geostatistical Modelling Using Non-Gaussian Matérn Fields

    Scandinavian Journal of Statistics

    Volume 42, Issue 3, September 2015, Pages: 872–890, Jonas Wallin and David Bolin

    Version of Record online : 23 FEB 2015, DOI: 10.1111/sjos.12141

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    Geostatistical inference under preferential sampling

    Journal of the Royal Statistical Society: Series C (Applied Statistics)

    Volume 59, Issue 2, March 2010, Pages: 191–232, Peter J. Diggle, Raquel Menezes and Ting-li Su

    Version of Record online : 9 FEB 2010, DOI: 10.1111/j.1467-9876.2009.00701.x

  5. A comparison of a traditional geostatistical regression approach and a general Gaussian process approach for spatial prediction


    Volume 3, Issue 1, 2014, Pages: 228–239, Stanley Leung and Daniel Cooley

    Version of Record online : 7 JUL 2014, DOI: 10.1002/sta4.57

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    An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach

    Journal of the Royal Statistical Society: Series B (Statistical Methodology)

    Volume 73, Issue 4, September 2011, Pages: 423–498, Finn Lindgren, Håvard Rue and Johan Lindström

    Version of Record online : 4 AUG 2011, DOI: 10.1111/j.1467-9868.2011.00777.x

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    Geostatistical modeling of the spatial variability of arsenic in groundwater of southeast Michigan

    Water Resources Research

    Volume 41, Issue 7, July 2005, P. Goovaerts, G. AvRuskin, J. Meliker, M. Slotnick, G. Jacquez and J. Nriagu

    Version of Record online : 14 JUL 2005, DOI: 10.1029/2004WR003705

  8. Workflow using sparse vintage data for building a first geological and reservoir model for CO2 geological storage in deep saline aquifer. A case study in the St. Lawrence Platform, Canada

    Greenhouse Gases: Science and Technology

    Volume 2, Issue 4, August 2012, Pages: 260–278, Maxime Claprood, Erwan Gloaguen, Bernard Giroux, Elena Konstantinovskaya, Michel Malo and Mathieu J. Duchesne

    Version of Record online : 27 JUN 2012, DOI: 10.1002/ghg.1292

  9. A Geostatistical Investigation into Changing Permeability of Sandstones During Weathering Simulations. 风化模拟中砂岩渗透率变化的地统计学研究

    Geographical Analysis

    Volume 42, Issue 2, April 2010, Pages: 180–203, Jennifer M. McKinley and Stephen McCabe

    Version of Record online : 13 APR 2010, DOI: 10.1111/j.1538-4632.2010.00789.x

  10. Mapping the spatial distribution of the biomass and filter-feeding effect of invasive dreissenid mussels on the winter-spring phytoplankton bloom in Lake Michigan

    Freshwater Biology

    Volume 60, Issue 11, November 2015, Pages: 2270–2285, Mark D. Rowe, Daniel R. Obenour, Thomas F. Nalepa, Henry A. Vanderploeg, Foad Yousef and W. Charles Kerfoot

    Version of Record online : 6 AUG 2015, DOI: 10.1111/fwb.12653

  11. Geostatistical analysis in weathering studies: case study for Stanton Moor building sandstone

    Earth Surface Processes and Landforms

    Volume 31, Issue 8, July 2006, Pages: 950–969, Jennifer M. McKinley, Patricia Warke, Christopher. D. Lloyd, Alastair H. Ruffell and Bernard J. Smith

    Version of Record online : 20 FEB 2006, DOI: 10.1002/esp.1301

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    Application of Bayesian geostatistics for evaluation of mass discharge uncertainty at contaminated sites

    Water Resources Research

    Volume 48, Issue 9, September 2012, Mads Troldborg, Wolfgang Nowak, Ida V. Lange, Marta C. Santos, Philip J. Binning and Poul L. Bjerg

    Version of Record online : 21 SEP 2012, DOI: 10.1029/2011WR011785

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    Combining geologic-process models and geostatistics for conditional simulation of 3-D subsurface heterogeneity

    Water Resources Research

    Volume 46, Issue 5, May 2010, H. A. Michael, H. Li, A. Boucher, T. Sun, J. Caers and S. M. Gorelick

    Version of Record online : 29 MAY 2010, DOI: 10.1029/2009WR008414

  14. Reconstructing Population Density Surfaces from Areal Data: A Comparison of Tobler's Pycnophylactic Interpolation Method and Area-to-Point Kriging. 面状数据的人口密度面重构:Tobler’s Pycnophylactic 插值法和面到点克里金插值法的对比

    Geographical Analysis

    Volume 42, Issue 1, January 2010, Pages: 78–98, Eun-Hye Yoo, Phaedon C. Kyriakidis and Waldo Tobler

    Version of Record online : 25 JAN 2010, DOI: 10.1111/j.1538-4632.2009.00783.x

  15. Kriging

    Geostatistics: Modeling Spatial Uncertainty

    Jean-Paul Chilès, Pierre Delfiner, Pages: 150–230, 2008

    Published Online : 27 MAY 2008, DOI: 10.1002/9780470316993.ch3

  16. Advanced Mapping of Environmental Spatial Data: Case Studies

    Advanced Mapping of Environmental Data: Geostatistics, Machine Learning and Bayesian Maximum Entropy

    L. Foresti, A. Pozdnoukhov, M. Kanevski, V. Timonin, E. Savelieva, C. Kaiser, R. Tapia, R. Purves, Pages: 149–246, 2010

    Published Online : 2 FEB 2010, DOI: 10.1002/9780470611463.ch5

  17. Geostatistical modelling on stream networks: developing valid covariance matrices based on hydrologic distance and stream flow

    Freshwater Biology

    Volume 52, Issue 2, February 2007, Pages: 267–279, ERIN E. PETERSON, DAVID M. THEOBALD and JAY M. VER HOEF

    Version of Record online : 6 DEC 2006, DOI: 10.1111/j.1365-2427.2006.01686.x

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    Dense nonaqueous phase liquid (DNAPL) source zone characterization: Influence of hydraulic property correlation on predictions of DNAPL infiltration and entrapment

    Water Resources Research

    Volume 40, Issue 1, January 2004, Lawrence D. Lemke, Linda M. Abriola and Pierre Goovaerts

    Version of Record online : 14 JAN 2004, DOI: 10.1029/2003WR001980

  19. Stochastic Simulations Based on Random Function Theory

    Multiple-Point Geostatistics: Stochastic Modeling with Training Images

    Gregoire Mariethoz, Jef Caers, Pages: 49–57, 2014

    Published Online : 30 OCT 2014, DOI: 10.1002/9781118662953.ch4

  20. GIS-Based Spatial Precipitation Estimation: A Comparison of Geostatistical Approaches

    JAWRA Journal of the American Water Resources Association

    Volume 45, Issue 4, August 2009, Pages: 894–906, Xuesong Zhang and Raghavan Srinivasan

    Version of Record online : 1 JUN 2009, DOI: 10.1111/j.1752-1688.2009.00335.x