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Refinar búsquedageoENV VII – Geostatistics for Environmental Applications / SpringerLink (Online service) ; P.M. Atkinson ; C. D. Lloyd (2010)
Título : geoENV VII – Geostatistics for Environmental Applications Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; P.M. Atkinson ; C. D. Lloyd Editorial: Dordrecht : Springer Netherlands Fecha de publicación: 2010 Otro editor: Imprint: Springer Colección: Quantitative Geology and Geostatistics, ISSN 0924-1973 num. 16 Número de páginas: XVI, 420 p. 185 illus., 35 illus. in color Il.: online resource ISBN/ISSN/DL: 978-90-481-2322-3 Idioma : Inglés (eng) Palabras clave: Earth sciences Statistics Environmental Sciences Sciences, general for Engineering, Physics, Computer Science, Chemistry and Monitoring/Analysis Math. Appl. in Science Clasificación: 51 Matemáticas Resumen: This volume brings together selected contributions from geoENV 2008, the 7th International Conference on Geostatistics for Environmental Applications, held in Southampton, UK, in September 2008. This book presents the state-of-the-art in geostatistics for the environmental sciences. It includes a wide range of methodological advances and applications. It offers insight and guidance for researchers, professionals, graduate students and others seeking information on the latest perspectives in the field. The rich body of applications will enable those new to geostatistics to assess the utility of the methods for their own applications. The book includes 35 chapters on topics as diverse as methodological developments, applications in the soil sciences, climatology, pollution, health, wildlife mapping, fisheries and remote sensing, amongst other areas. With its focus on environmental applications of geostatistics, rather than the more traditional geostatistical remit of mining and petroleum exploration, this book is part of a series that presents an invaluable resource. This book will be a first port of call for those who wish to apply geostatistical methods in the environmental sciences. Audience: Researchers, scientists, professionals, institutes, libraries, graduate students of geosciences, geostatistics, spatial statistics, environmental science and engineering, ecology, oceanography, climatology, hydrology, soil and forestry science Nota de contenido: Geostatistical Modelling of Wildlife Populations: A Non-stationary Hierarchical Model for Count Data -- Incorporating Survey Data to Improve Space–Time Geostatistical Analysis of King Prawn Catch Rate -- Multivariate Interpolation of Monthly Precipitation Amount in the United Kingdom -- Extreme Precipitation Modelling Using Geostatistics and Machine Learning Algorithms -- On Geostatistical Analysis of Rainfall Using Data from Boundary Sites -- Geostatistics Applied to the City of Porto Urban Climatology -- Integrating Meteorological Dynamic Data and Historical Data into a Stochastic Model for Predicting Forest Fires Risk Maps -- Using Geostatistical Methods in the Analysis of Public Health Data: The Final Frontier? -- Second-Order Analysis of the Spatio-temporal Distribution of Human Campylobacteriosis in Preston, Lancashire -- Application of Geostatistics in Cancer Studies -- Blocking Markov Chain Monte Carlo Schemes for Inverse Stochastic Hydrogeological Modeling -- Simulation of Fine-Scale Heterogeneity of Meandering River Aquifer Analogues: Comparing Different Approaches -- Application of Multiple-Point Geostatistics on Modelling Groundwater Flow and Transport in a Cross-Bedded Aquifer -- Assessment of the Impact of Pollution by Arsenic in the Vicinity of Panasqueira Mine (Portugal) -- Simulation of Continuous Variables at Meander Structures: Application to Contaminated Sediments of a Lagoon -- Joint Space–Time Geostatistical Model for Air Quality Surveillance/Monitoring System -- Geostatistical Methods for Polluted Sites Characterization -- Geostatistical Mapping of Outfall Plume Dispersion Data Gathered with an Autonomous Underwater Vehicle -- Change of the A Priori Stochastic Structure in the Conditional Simulation of Transmissivity Fields -- Geostatistical Interpolation of Soil Properties in Boom Clay in Flanders -- An Examination of Transformation Techniques to Investigate and Interpret Multivariate Geochemical Data Analysis: Tellus Case Study -- Shelling in the First World War Increased the Soil Heavy Metal Concentration -- A Geostatistical Analysis of Rubber Tree Growth Characteristics and Soil Physical Attributes -- Investigating the Potential of Area-to-Area and Area-to-Point Kriging for Defining Management Zones for Precision Farming of Cranberries -- Estimating the Local Small Support Semivariogram for Use in Super-Resolution Mapping -- Modeling Spatial Uncertainty for Locally Uncertain Data -- Spatial Interpolation Using Copula-Based Geostatistical Models -- Exchanging Uncertainty: Interoperable Geostatistics? -- Hierarchical Bayesian Model for Gaussian, Poisson and Ordinal Random Fields -- Detection of Optimal Models in Parameter Space with Support Vector Machines -- Robust Automatic Mapping Algorithms in a Network Monitoring Scenario -- Parallel Geostatistics for Sparse and Dense Datasets -- Multiple Point Geostatistical Simulation with Simulated Annealing: Implementation Using Speculative Parallel Computing -- Application of Copulas in Geostatistics -- Integrating Prior Knowledge and Locally Varying Parameters with Moving-GeoStatistics: Methodology and Application to Bathymetric Mapping En línea: http://dx.doi.org/10.1007/978-90-481-2322-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33809 geoENV VII – Geostatistics for Environmental Applications [documento electrónico] / SpringerLink (Online service) ; P.M. Atkinson ; C. D. Lloyd . - Dordrecht : Springer Netherlands : Imprint: Springer, 2010 . - XVI, 420 p. 185 illus., 35 illus. in color : online resource. - (Quantitative Geology and Geostatistics, ISSN 0924-1973; 16) .
ISBN : 978-90-481-2322-3
Idioma : Inglés (eng)
Palabras clave: Earth sciences Statistics Environmental Sciences Sciences, general for Engineering, Physics, Computer Science, Chemistry and Monitoring/Analysis Math. Appl. in Science Clasificación: 51 Matemáticas Resumen: This volume brings together selected contributions from geoENV 2008, the 7th International Conference on Geostatistics for Environmental Applications, held in Southampton, UK, in September 2008. This book presents the state-of-the-art in geostatistics for the environmental sciences. It includes a wide range of methodological advances and applications. It offers insight and guidance for researchers, professionals, graduate students and others seeking information on the latest perspectives in the field. The rich body of applications will enable those new to geostatistics to assess the utility of the methods for their own applications. The book includes 35 chapters on topics as diverse as methodological developments, applications in the soil sciences, climatology, pollution, health, wildlife mapping, fisheries and remote sensing, amongst other areas. With its focus on environmental applications of geostatistics, rather than the more traditional geostatistical remit of mining and petroleum exploration, this book is part of a series that presents an invaluable resource. This book will be a first port of call for those who wish to apply geostatistical methods in the environmental sciences. Audience: Researchers, scientists, professionals, institutes, libraries, graduate students of geosciences, geostatistics, spatial statistics, environmental science and engineering, ecology, oceanography, climatology, hydrology, soil and forestry science Nota de contenido: Geostatistical Modelling of Wildlife Populations: A Non-stationary Hierarchical Model for Count Data -- Incorporating Survey Data to Improve Space–Time Geostatistical Analysis of King Prawn Catch Rate -- Multivariate Interpolation of Monthly Precipitation Amount in the United Kingdom -- Extreme Precipitation Modelling Using Geostatistics and Machine Learning Algorithms -- On Geostatistical Analysis of Rainfall Using Data from Boundary Sites -- Geostatistics Applied to the City of Porto Urban Climatology -- Integrating Meteorological Dynamic Data and Historical Data into a Stochastic Model for Predicting Forest Fires Risk Maps -- Using Geostatistical Methods in the Analysis of Public Health Data: The Final Frontier? -- Second-Order Analysis of the Spatio-temporal Distribution of Human Campylobacteriosis in Preston, Lancashire -- Application of Geostatistics in Cancer Studies -- Blocking Markov Chain Monte Carlo Schemes for Inverse Stochastic Hydrogeological Modeling -- Simulation of Fine-Scale Heterogeneity of Meandering River Aquifer Analogues: Comparing Different Approaches -- Application of Multiple-Point Geostatistics on Modelling Groundwater Flow and Transport in a Cross-Bedded Aquifer -- Assessment of the Impact of Pollution by Arsenic in the Vicinity of Panasqueira Mine (Portugal) -- Simulation of Continuous Variables at Meander Structures: Application to Contaminated Sediments of a Lagoon -- Joint Space–Time Geostatistical Model for Air Quality Surveillance/Monitoring System -- Geostatistical Methods for Polluted Sites Characterization -- Geostatistical Mapping of Outfall Plume Dispersion Data Gathered with an Autonomous Underwater Vehicle -- Change of the A Priori Stochastic Structure in the Conditional Simulation of Transmissivity Fields -- Geostatistical Interpolation of Soil Properties in Boom Clay in Flanders -- An Examination of Transformation Techniques to Investigate and Interpret Multivariate Geochemical Data Analysis: Tellus Case Study -- Shelling in the First World War Increased the Soil Heavy Metal Concentration -- A Geostatistical Analysis of Rubber Tree Growth Characteristics and Soil Physical Attributes -- Investigating the Potential of Area-to-Area and Area-to-Point Kriging for Defining Management Zones for Precision Farming of Cranberries -- Estimating the Local Small Support Semivariogram for Use in Super-Resolution Mapping -- Modeling Spatial Uncertainty for Locally Uncertain Data -- Spatial Interpolation Using Copula-Based Geostatistical Models -- Exchanging Uncertainty: Interoperable Geostatistics? -- Hierarchical Bayesian Model for Gaussian, Poisson and Ordinal Random Fields -- Detection of Optimal Models in Parameter Space with Support Vector Machines -- Robust Automatic Mapping Algorithms in a Network Monitoring Scenario -- Parallel Geostatistics for Sparse and Dense Datasets -- Multiple Point Geostatistical Simulation with Simulated Annealing: Implementation Using Speculative Parallel Computing -- Application of Copulas in Geostatistics -- Integrating Prior Knowledge and Locally Varying Parameters with Moving-GeoStatistics: Methodology and Application to Bathymetric Mapping En línea: http://dx.doi.org/10.1007/978-90-481-2322-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33809 Ejemplares
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Título : Geostatistics Banff 2004 Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Oy Leuangthong ; Clayton V. Deutsch Editorial: Dordrecht : Springer Netherlands Fecha de publicación: 2005 Colección: Quantitative Geology and Geostatistics, ISSN 0924-1973 num. 14 Número de páginas: XXXVIII, 1142 p Il.: online resource ISBN/ISSN/DL: 978-1-4020-3610-1 Idioma : Inglés (eng) Palabras clave: Statistics Earth sciences Geotechnical engineering Computational intelligence for Engineering, Physics, Computer Science, Chemistry and Sciences Sciences, general Intelligence Engineering & Applied Clasificación: 51 Matemáticas Resumen: The conference proceedings consist of approximately 120 technical papers presented at the Seventh International Geostatistics Congress held in Banff, Alberta, Canada in 2004. All the papers were reviewed by an international panel of leading geostatisticians. The five major sections are: theory, mining, petroleum, environmental and other applications. The first section showcases new and innovative ideas in the theoretical development of geostatistics as a whole; these ideas will have large impact on (1) the directions of future geostatistical research, and (2) the conventional approaches to heterogeneity modelling in a wide range of natural resource industries. The next four sections are focused on applications and innovations relating to the use of geostatistics in specific industries. Historically, mining, petroleum and environmental industries have embraced the use of geostatistics for uncertainty characterization, so these three industries are identified as major application areas. The last section is open for innovative geostatistical application to address the issues and impact of uncertainty in other industries. Audience Researchers and practitioners both in industry and academia, working in the fields of geology, petroleum, mining, and environmental science and engineering Nota de contenido: From the contents Plenary - Accounting for Geological Boundaries for Simulation in Geostatistical Modeling of Multiple Rock Types (P. Larrondo and C.V. Deutsch) -- Data Integration using the Probability Perturbation Method (J. Caers) -- Spectral Component Geologic Modeling: A New Technology for Integrating Seismic Information at the Correct Scale (T. Yao, C. Calvert, G. Bishop, T. Jones, Y. Ma and L. Foreman) -- Joint Simulations, Optimal Drillhole Spacing and the Role of the Stockpile (A. Boucher, R. Dimitrakopoulos and J. A. Vargas-Guzmán) -- Theory of the Cloud Transform for Applications (O. Kolbjørnsen and P. Abrahamsen) -- P-field Simulation: A Retrospective (R. M. Srivastava and R. Froidevaux) -- Sequential Spatial Simulation Using Latin Hypercube Sampling (P. C. Kyriakidis) -- Field Scale Stochastic Modeling of Fracture Networks: Combining Pattern Statistics with Geomechanical Criteria for Fracture Growth (X. Liu and S. Srinivasan) -- Direct Geostatistical Simulation on Unstructured Grids (J. Manchuk, O. Leuangthong and C. V. Deutsch) -- Beyond Covariance: The Advent of Multiple-Point Geostatistics (A. G. Journel) -- Non-Stationary Multiple-Point Geostatistical Models (S. Strebelle and T. Zhang) -- A Workflow for Multiple-Point Geostatistical Simulation (Y. Liu, A. Harding, R. Gilbert and A. G. Journel) -- A Multiple-scale, Pattern-based Approach to Sequential Simulation (B. G. Arpat and J. Caers) En línea: http://dx.doi.org/10.1007/978-1-4020-3610-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35214 Geostatistics Banff 2004 [documento electrónico] / SpringerLink (Online service) ; Oy Leuangthong ; Clayton V. Deutsch . - Dordrecht : Springer Netherlands, 2005 . - XXXVIII, 1142 p : online resource. - (Quantitative Geology and Geostatistics, ISSN 0924-1973; 14) .
ISBN : 978-1-4020-3610-1
Idioma : Inglés (eng)
Palabras clave: Statistics Earth sciences Geotechnical engineering Computational intelligence for Engineering, Physics, Computer Science, Chemistry and Sciences Sciences, general Intelligence Engineering & Applied Clasificación: 51 Matemáticas Resumen: The conference proceedings consist of approximately 120 technical papers presented at the Seventh International Geostatistics Congress held in Banff, Alberta, Canada in 2004. All the papers were reviewed by an international panel of leading geostatisticians. The five major sections are: theory, mining, petroleum, environmental and other applications. The first section showcases new and innovative ideas in the theoretical development of geostatistics as a whole; these ideas will have large impact on (1) the directions of future geostatistical research, and (2) the conventional approaches to heterogeneity modelling in a wide range of natural resource industries. The next four sections are focused on applications and innovations relating to the use of geostatistics in specific industries. Historically, mining, petroleum and environmental industries have embraced the use of geostatistics for uncertainty characterization, so these three industries are identified as major application areas. The last section is open for innovative geostatistical application to address the issues and impact of uncertainty in other industries. Audience Researchers and practitioners both in industry and academia, working in the fields of geology, petroleum, mining, and environmental science and engineering Nota de contenido: From the contents Plenary - Accounting for Geological Boundaries for Simulation in Geostatistical Modeling of Multiple Rock Types (P. Larrondo and C.V. Deutsch) -- Data Integration using the Probability Perturbation Method (J. Caers) -- Spectral Component Geologic Modeling: A New Technology for Integrating Seismic Information at the Correct Scale (T. Yao, C. Calvert, G. Bishop, T. Jones, Y. Ma and L. Foreman) -- Joint Simulations, Optimal Drillhole Spacing and the Role of the Stockpile (A. Boucher, R. Dimitrakopoulos and J. A. Vargas-Guzmán) -- Theory of the Cloud Transform for Applications (O. Kolbjørnsen and P. Abrahamsen) -- P-field Simulation: A Retrospective (R. M. Srivastava and R. Froidevaux) -- Sequential Spatial Simulation Using Latin Hypercube Sampling (P. C. Kyriakidis) -- Field Scale Stochastic Modeling of Fracture Networks: Combining Pattern Statistics with Geomechanical Criteria for Fracture Growth (X. Liu and S. Srinivasan) -- Direct Geostatistical Simulation on Unstructured Grids (J. Manchuk, O. Leuangthong and C. V. Deutsch) -- Beyond Covariance: The Advent of Multiple-Point Geostatistics (A. G. Journel) -- Non-Stationary Multiple-Point Geostatistical Models (S. Strebelle and T. Zhang) -- A Workflow for Multiple-Point Geostatistical Simulation (Y. Liu, A. Harding, R. Gilbert and A. G. Journel) -- A Multiple-scale, Pattern-based Approach to Sequential Simulation (B. G. Arpat and J. Caers) En línea: http://dx.doi.org/10.1007/978-1-4020-3610-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35214 Ejemplares
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Título : Geostatistics Oslo 2012 Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Petter Abrahamsen ; Ragnar Hauge ; Odd Kolbjørnsen Editorial: Dordrecht : Springer Netherlands Fecha de publicación: 2012 Colección: Quantitative Geology and Geostatistics, ISSN 0924-1973 num. 17 Número de páginas: XIV, 559 p Il.: online resource ISBN/ISSN/DL: 978-94-007-4153-9 Idioma : Inglés (eng) Palabras clave: Earth sciences Mineralogy Geotechnical engineering Statistics Sciences Engineering & Applied for Engineering, Physics, Computer Science, Chemistry and Clasificación: 51 Matemáticas Resumen: This book consists of 44 technical papers presented at the Ninth International Geostatistics Congress held in Oslo, Norway in June 2012. The papers have been reviewed by a panel of specialists in Geostatistics. The book is divided into four main sections: Theory; Petroleum; Mining; and Environment, Climate and Hydrology. The first section focuses on new ideas of general interest to many fields of applications. The next sections are more focused on the particular needs of the particular industry or activity. Geostatistics is vital to any industry dependent on natural resources. Methods from geostatistics are used for estimating reserves, quantifying economical risk and planning of future industrial operations. Geostatistics is also an important tool for mapping environmental hazard and integrating climate data Nota de contenido: Foreword -- Preface -- Acknowledgements -- Part I Theory -- Sequential simulation with iterative methods -- Applications of randomized methods for decomposing and simulating from large covariance matrices -- Event-based geostatistical modeling: description and applications -- A plurigaussian model for simulating regionalized compositions -- New flexible non-parametric data transformation for trans-Gaussian kriging -- Revisiting the linear model of coregionalisation -- Modeling nonlinear beta probability fields -- Approximations of high-order spatial statistics through decomposition -- Multiple-point geostatistical simulation based on genetic algorithms implemented in a shared-memory supercomputer -- The edge effect in geostatistical simulations -- Extensions of the parametric inference of spatial covariances by maximum likelihood -- Part II Petroleum -- Constraining a heavy oil reservoir to temperature and time lapse seismic data using the EnKF -- Micro-modeling for enhanced small scale porosity-permeability relationships -- Applications of data coherency for data analysis and geological zonation -- Multiscale modeling of fracture network in a carbonate reservoir -- Uncertainty quantification and feedback control using a model selection approach applied to a polymer flooding process -- Efficient conditional simulation of spatial patterns using a pattern-growth algorithm -- Multiple-point statistics in a non-gridded domain: application to karst/fracture network modeling -- Sequential simulations of mixed discrete-continuous properties: sequential Gaussian mixture simulation -- Accounting for seismic trends in stochastic well correlation -- Some newer algorithms in joint categorical and continuous inversion problems around seismic data -- Non-random discrete fracture network modelling -- Part III Mining -- Kriging and simulation in presence of stationary domains: -- Developments in boundary modeling -- Assessing uncertainty in recovery functions: a practical approach -- Comparative study of localized block simulations and localized uniform conditioning in the multivariate case -- Application of stochastic simulations and quantifying uncertainties in the drilling of roll front uranium deposits -- Multivariate estimation using log ratios: a worked alternative -- Measuring the impact of the change of support and information effect at olympic dam -- Comparative study of two gaussian simulation algorithms, Boddington gold deposit -- Non-multi-gaussian multivariate simulations with guaranteed reproduction of inter-variable correlations -- Field parametric geostatistics—a rigorous theory to solve problems of highly skewed distributions -- Multiple-point geostatistics for modeling lithological domains at a Brazilian iron ore deposit using the single normal equations simulation algorithm -- Practical implementation of non-linear transforms for modeling geometallurgical variables -- Combined use of lithological and grade simulations for risk analysis in iron ore, Brazil -- The use of geostatistical simulation to optimize the homogenization and blending strategies -- Plurigaussian simulations used to analyze the uncertainty in resources estimation from a lateritic nickel deposit -- Domaining by clustering multivariate geostatistical data -- The influence of geostatistical techniques on geological uncertainty -- Part IV Environmental, climate and hydrology -- A study on how top-surface morphology influences the storage capacity of CO2 in saline aquifers -- Modeling and analysis of daily rainfall data -- A stochastic model in space and time for monthly maximum significant wave height -- Interpolation of concentration measurements by kriging using flow coordinates -- A comparison of methods for solving the sensor location problem -- Comparing geostatistical models for river networks -- Author index -- Subject index En línea: http://dx.doi.org/10.1007/978-94-007-4153-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33059 Geostatistics Oslo 2012 [documento electrónico] / SpringerLink (Online service) ; Petter Abrahamsen ; Ragnar Hauge ; Odd Kolbjørnsen . - Dordrecht : Springer Netherlands, 2012 . - XIV, 559 p : online resource. - (Quantitative Geology and Geostatistics, ISSN 0924-1973; 17) .
ISBN : 978-94-007-4153-9
Idioma : Inglés (eng)
Palabras clave: Earth sciences Mineralogy Geotechnical engineering Statistics Sciences Engineering & Applied for Engineering, Physics, Computer Science, Chemistry and Clasificación: 51 Matemáticas Resumen: This book consists of 44 technical papers presented at the Ninth International Geostatistics Congress held in Oslo, Norway in June 2012. The papers have been reviewed by a panel of specialists in Geostatistics. The book is divided into four main sections: Theory; Petroleum; Mining; and Environment, Climate and Hydrology. The first section focuses on new ideas of general interest to many fields of applications. The next sections are more focused on the particular needs of the particular industry or activity. Geostatistics is vital to any industry dependent on natural resources. Methods from geostatistics are used for estimating reserves, quantifying economical risk and planning of future industrial operations. Geostatistics is also an important tool for mapping environmental hazard and integrating climate data Nota de contenido: Foreword -- Preface -- Acknowledgements -- Part I Theory -- Sequential simulation with iterative methods -- Applications of randomized methods for decomposing and simulating from large covariance matrices -- Event-based geostatistical modeling: description and applications -- A plurigaussian model for simulating regionalized compositions -- New flexible non-parametric data transformation for trans-Gaussian kriging -- Revisiting the linear model of coregionalisation -- Modeling nonlinear beta probability fields -- Approximations of high-order spatial statistics through decomposition -- Multiple-point geostatistical simulation based on genetic algorithms implemented in a shared-memory supercomputer -- The edge effect in geostatistical simulations -- Extensions of the parametric inference of spatial covariances by maximum likelihood -- Part II Petroleum -- Constraining a heavy oil reservoir to temperature and time lapse seismic data using the EnKF -- Micro-modeling for enhanced small scale porosity-permeability relationships -- Applications of data coherency for data analysis and geological zonation -- Multiscale modeling of fracture network in a carbonate reservoir -- Uncertainty quantification and feedback control using a model selection approach applied to a polymer flooding process -- Efficient conditional simulation of spatial patterns using a pattern-growth algorithm -- Multiple-point statistics in a non-gridded domain: application to karst/fracture network modeling -- Sequential simulations of mixed discrete-continuous properties: sequential Gaussian mixture simulation -- Accounting for seismic trends in stochastic well correlation -- Some newer algorithms in joint categorical and continuous inversion problems around seismic data -- Non-random discrete fracture network modelling -- Part III Mining -- Kriging and simulation in presence of stationary domains: -- Developments in boundary modeling -- Assessing uncertainty in recovery functions: a practical approach -- Comparative study of localized block simulations and localized uniform conditioning in the multivariate case -- Application of stochastic simulations and quantifying uncertainties in the drilling of roll front uranium deposits -- Multivariate estimation using log ratios: a worked alternative -- Measuring the impact of the change of support and information effect at olympic dam -- Comparative study of two gaussian simulation algorithms, Boddington gold deposit -- Non-multi-gaussian multivariate simulations with guaranteed reproduction of inter-variable correlations -- Field parametric geostatistics—a rigorous theory to solve problems of highly skewed distributions -- Multiple-point geostatistics for modeling lithological domains at a Brazilian iron ore deposit using the single normal equations simulation algorithm -- Practical implementation of non-linear transforms for modeling geometallurgical variables -- Combined use of lithological and grade simulations for risk analysis in iron ore, Brazil -- The use of geostatistical simulation to optimize the homogenization and blending strategies -- Plurigaussian simulations used to analyze the uncertainty in resources estimation from a lateritic nickel deposit -- Domaining by clustering multivariate geostatistical data -- The influence of geostatistical techniques on geological uncertainty -- Part IV Environmental, climate and hydrology -- A study on how top-surface morphology influences the storage capacity of CO2 in saline aquifers -- Modeling and analysis of daily rainfall data -- A stochastic model in space and time for monthly maximum significant wave height -- Interpolation of concentration measurements by kriging using flow coordinates -- A comparison of methods for solving the sensor location problem -- Comparing geostatistical models for river networks -- Author index -- Subject index En línea: http://dx.doi.org/10.1007/978-94-007-4153-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33059 Ejemplares
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