Geostatistical Error Management: Quantifying Uncertainty for Environmental Sampling and Mapping
* Focuses on the environmental applications of geostatistical techniques and how they fit into today's regulatory, legal, and engineering environments
* Provides step-by-step explanations for applying error management tools at every stage of an environmental site assessment
* Points the way to applying GEM to environmental work beyond site evaluation and characterization
Geostatistical Error Management will enable environmental specialists to perform assessments of hazardous waste and environmentally impacted sites more accurately and to confidently manage uncertainty and error at every phase of a remediation project.
Foundations of Geostatistical Error Management.
Introduction to Error.
Foundations of Statistics.
SAMPLING THEORY AND PRACTICE.
Heterogeneity and Sampling.
Variograms: Quantification of Spatial Continuity.
The Volume-Variance Relationship.
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.