Geostatistical Error Management: Quantifying Uncertainty for Environmental Sampling and MappingISBN: 978-0-471-28556-4
Hardcover
571 pages
May 1997
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INTRODUCTION TO GEOSTATISTICAL ERROR MANAGEMENT.
Foundations of Geostatistical Error Management.
GEM Perspectives.
Introduction to Error.
STATISTICAL CONSIDERATIONS.
Foundations of Statistics.
Data Distributions.
Distributional Models.
SAMPLING THEORY AND PRACTICE.
Heterogeneity and Sampling.
Sampling Errors.
GEOSTATISTICAL APPRAISAL.
Bivariate Distributions.
Variograms: Quantification of Spatial Continuity.
The Volume-Variance Relationship.
Estimation Variance.
Optimizing Estimation: Kriging.
Practical Aspects of Kriging.
DATA QUALITY OBJECTIVES.
Data Quality Objectives.
Integrating DQOs and STP: Development of Sampling Strategies.
Integrating DQOs and GA: Mapping and Appraisal.
Appendices.
References.
Index.
Foundations of Geostatistical Error Management.
GEM Perspectives.
Introduction to Error.
STATISTICAL CONSIDERATIONS.
Foundations of Statistics.
Data Distributions.
Distributional Models.
SAMPLING THEORY AND PRACTICE.
Heterogeneity and Sampling.
Sampling Errors.
GEOSTATISTICAL APPRAISAL.
Bivariate Distributions.
Variograms: Quantification of Spatial Continuity.
The Volume-Variance Relationship.
Estimation Variance.
Optimizing Estimation: Kriging.
Practical Aspects of Kriging.
DATA QUALITY OBJECTIVES.
Data Quality Objectives.
Integrating DQOs and STP: Development of Sampling Strategies.
Integrating DQOs and GA: Mapping and Appraisal.
Appendices.
References.
Index.
