Ebook: geoENV VII – Geostatistics for Environmental Applications
- Tags: Earth Sciences general, Statistics for Engineering Physics Computer Science Chemistry and Earth Sciences, Environmental Monitoring/Analysis, Math. Appl. in Environmental Science
- Series: Quantitative Geology and Geostatistics 16
- Year: 2010
- Publisher: Springer Netherlands
- Edition: 1
- Language: English
- pdf
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.
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.
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.
Content:
Front Matter....Pages i-xvi
Geostatistical Modelling of Wildlife Populations: A Non-stationary Hierarchical Model for Count Data....Pages 1-12
Incorporating Survey Data to Improve Space–Time Geostatistical Analysis of King Prawn Catch Rate....Pages 13-25
Multivariate Interpolation of Monthly Precipitation Amount in the United Kingdom....Pages 27-39
Extreme Precipitation Modelling Using Geostatistics and Machine Learning Algorithms....Pages 41-52
On Geostatistical Analysis of Rainfall Using Data from Boundary Sites....Pages 53-63
Geostatistics Applied to the City of Porto Urban Climatology....Pages 65-75
Integrating Meteorological Dynamic Data and Historical Data into a Stochastic Model for Predicting Forest Fires Risk Maps....Pages 77-88
Using Geostatistical Methods in the Analysis of Public Health Data: The Final Frontier?....Pages 89-98
Second-Order Analysis of the Spatio-temporal Distribution of Human Campylobacteriosis in Preston, Lancashire....Pages 99-106
Application of Geostatistics in Cancer Studies....Pages 107-119
Blocking Markov Chain Monte Carlo Schemes for Inverse Stochastic Hydrogeological Modeling....Pages 121-126
Simulation of Fine-Scale Heterogeneity of Meandering River Aquifer Analogues: Comparing Different Approaches....Pages 127-137
Application of Multiple-Point Geostatistics on Modelling Groundwater Flow and Transport in a Cross-Bedded Aquifer....Pages 139-150
Assessment of the Impact of Pollution by Arsenic in the Vicinity of Panasqueira Mine (Portugal)....Pages 151-159
Simulation of Continuous Variables at Meander Structures: Application to Contaminated Sediments of a Lagoon....Pages 161-172
Joint Space–Time Geostatistical Model for Air Quality Surveillance/Monitoring System....Pages 173-185
Geostatistical Methods for Polluted Sites Characterization....Pages 187-198
Geostatistical Mapping of Outfall Plume Dispersion Data Gathered with an Autonomous Underwater Vehicle....Pages 199-209
Change of the A Priori Stochastic Structure in the Conditional Simulation of Transmissivity Fields....Pages 211-217
Geostatistical Interpolation of Soil Properties in Boom Clay in Flanders....Pages 219-230
An Examination of Transformation Techniques to Investigate and Interpret Multivariate Geochemical Data Analysis: Tellus Case Study....Pages 231-242
Shelling in the First World War Increased the Soil Heavy Metal Concentration....Pages 243-254
A Geostatistical Analysis of Rubber Tree Growth Characteristics and Soil Physical Attributes....Pages 255-264
Investigating the Potential of Area-to-Area and Area-to-Point Kriging for Defining Management Zones for Precision Farming of Cranberries....Pages 265-278
Estimating the Local Small Support Semivariogram for Use in Super-Resolution Mapping....Pages 279-294
Modeling Spatial Uncertainty for Locally Uncertain Data....Pages 295-306
Spatial Interpolation Using Copula-Based Geostatistical Models....Pages 307-319
Exchanging Uncertainty: Interoperable Geostatistics?....Pages 321-331
Hierarchical Bayesian Model for Gaussian, Poisson and Ordinal Random Fields....Pages 333-344
Detection of Optimal Models in Parameter Space with Support Vector Machines....Pages 345-358
Robust Automatic Mapping Algorithms in a Network Monitoring Scenario....Pages 359-370
Parallel Geostatistics for Sparse and Dense Datasets....Pages 371-381
Multiple Point Geostatistical Simulation with Simulated Annealing: Implementation Using Speculative Parallel Computing....Pages 383-394
Application of Copulas in Geostatistics....Pages 395-404
Integrating Prior Knowledge and Locally Varying Parameters with Moving-GeoStatistics: Methodology and Application to Bathymetric Mapping....Pages 405-415
Back Matter....Pages 417-419
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.
Content:
Front Matter....Pages i-xvi
Geostatistical Modelling of Wildlife Populations: A Non-stationary Hierarchical Model for Count Data....Pages 1-12
Incorporating Survey Data to Improve Space–Time Geostatistical Analysis of King Prawn Catch Rate....Pages 13-25
Multivariate Interpolation of Monthly Precipitation Amount in the United Kingdom....Pages 27-39
Extreme Precipitation Modelling Using Geostatistics and Machine Learning Algorithms....Pages 41-52
On Geostatistical Analysis of Rainfall Using Data from Boundary Sites....Pages 53-63
Geostatistics Applied to the City of Porto Urban Climatology....Pages 65-75
Integrating Meteorological Dynamic Data and Historical Data into a Stochastic Model for Predicting Forest Fires Risk Maps....Pages 77-88
Using Geostatistical Methods in the Analysis of Public Health Data: The Final Frontier?....Pages 89-98
Second-Order Analysis of the Spatio-temporal Distribution of Human Campylobacteriosis in Preston, Lancashire....Pages 99-106
Application of Geostatistics in Cancer Studies....Pages 107-119
Blocking Markov Chain Monte Carlo Schemes for Inverse Stochastic Hydrogeological Modeling....Pages 121-126
Simulation of Fine-Scale Heterogeneity of Meandering River Aquifer Analogues: Comparing Different Approaches....Pages 127-137
Application of Multiple-Point Geostatistics on Modelling Groundwater Flow and Transport in a Cross-Bedded Aquifer....Pages 139-150
Assessment of the Impact of Pollution by Arsenic in the Vicinity of Panasqueira Mine (Portugal)....Pages 151-159
Simulation of Continuous Variables at Meander Structures: Application to Contaminated Sediments of a Lagoon....Pages 161-172
Joint Space–Time Geostatistical Model for Air Quality Surveillance/Monitoring System....Pages 173-185
Geostatistical Methods for Polluted Sites Characterization....Pages 187-198
Geostatistical Mapping of Outfall Plume Dispersion Data Gathered with an Autonomous Underwater Vehicle....Pages 199-209
Change of the A Priori Stochastic Structure in the Conditional Simulation of Transmissivity Fields....Pages 211-217
Geostatistical Interpolation of Soil Properties in Boom Clay in Flanders....Pages 219-230
An Examination of Transformation Techniques to Investigate and Interpret Multivariate Geochemical Data Analysis: Tellus Case Study....Pages 231-242
Shelling in the First World War Increased the Soil Heavy Metal Concentration....Pages 243-254
A Geostatistical Analysis of Rubber Tree Growth Characteristics and Soil Physical Attributes....Pages 255-264
Investigating the Potential of Area-to-Area and Area-to-Point Kriging for Defining Management Zones for Precision Farming of Cranberries....Pages 265-278
Estimating the Local Small Support Semivariogram for Use in Super-Resolution Mapping....Pages 279-294
Modeling Spatial Uncertainty for Locally Uncertain Data....Pages 295-306
Spatial Interpolation Using Copula-Based Geostatistical Models....Pages 307-319
Exchanging Uncertainty: Interoperable Geostatistics?....Pages 321-331
Hierarchical Bayesian Model for Gaussian, Poisson and Ordinal Random Fields....Pages 333-344
Detection of Optimal Models in Parameter Space with Support Vector Machines....Pages 345-358
Robust Automatic Mapping Algorithms in a Network Monitoring Scenario....Pages 359-370
Parallel Geostatistics for Sparse and Dense Datasets....Pages 371-381
Multiple Point Geostatistical Simulation with Simulated Annealing: Implementation Using Speculative Parallel Computing....Pages 383-394
Application of Copulas in Geostatistics....Pages 395-404
Integrating Prior Knowledge and Locally Varying Parameters with Moving-GeoStatistics: Methodology and Application to Bathymetric Mapping....Pages 405-415
Back Matter....Pages 417-419
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