{"product_id":"geostatistical-error-management-isbn-9780471285564","title":"Geostatistical Error Management","description":"Geostatistical Error Management Geostatistical modeling conceptsand techniques have become daily practice in mining operations.That's because these precise analytical tools help professionalsquantify uncertainty and make objective decisions in the face ofthorny \"real world\" challenges. Geostatistical Error Management isthe first book to apply these proven quantitative tools toenvironmental challenges. The centerpiece of this working guide isan innovative decision-making framework, known as geostatisticalerror management (GEM). GEM integrates the related areas of DataQuality Objectives, Sampling Theory \u0026amp; Practice, andGeostatistical Appraisal to create an entirely new set of toolsthat help you more accurately assess resources for collectingenvironmental data, analyze sources of error in sampling, andquantify the extent and levels of contamination at environmentallyimpacted sites needing remediation. This practical,results-oriented resource\u003cbr\u003e * Focuses on the environmental applications of geostatisticaltechniques and how they fit into today's regulatory, legal, andengineering environments\u003cbr\u003e * Provides step-by-step explanations for applying error managementtools at every stage of an environmental site assessment\u003cbr\u003e * Points the way to applying GEM to environmental work beyond siteevaluation and characterization\u003cbr\u003e Geostatistical Error Management will enable environmentalspecialists to perform assessments of hazardous waste andenvironmentally impacted sites more accurately and to confidentlymanage uncertainty and error at every phase of a remediationproject. INTRODUCTION TO GEOSTATISTICAL ERROR MANAGEMENT.\u003cbr\u003e \u003cbr\u003e Foundations of Geostatistical Error Management.\u003cbr\u003e \u003cbr\u003e GEM Perspectives.\u003cbr\u003e \u003cbr\u003e Introduction to Error.\u003cbr\u003e \u003cbr\u003e STATISTICAL CONSIDERATIONS.\u003cbr\u003e \u003cbr\u003e Foundations of Statistics.\u003cbr\u003e \u003cbr\u003e Data Distributions.\u003cbr\u003e \u003cbr\u003e Distributional Models.\u003cbr\u003e \u003cbr\u003e SAMPLING THEORY AND PRACTICE.\u003cbr\u003e \u003cbr\u003e Heterogeneity and Sampling.\u003cbr\u003e \u003cbr\u003e Sampling Errors.\u003cbr\u003e \u003cbr\u003e GEOSTATISTICAL APPRAISAL.\u003cbr\u003e \u003cbr\u003e Bivariate Distributions.\u003cbr\u003e \u003cbr\u003e Variograms: Quantification of Spatial Continuity.\u003cbr\u003e \u003cbr\u003e The Volume-Variance Relationship.\u003cbr\u003e \u003cbr\u003e Estimation Variance.\u003cbr\u003e \u003cbr\u003e Optimizing Estimation: Kriging.\u003cbr\u003e \u003cbr\u003e Practical Aspects of Kriging.\u003cbr\u003e \u003cbr\u003e DATA QUALITY OBJECTIVES.\u003cbr\u003e \u003cbr\u003e Data Quality Objectives.\u003cbr\u003e \u003cbr\u003e Integrating DQOs and STP: Development of Sampling Strategies.\u003cbr\u003e \u003cbr\u003e Integrating DQOs and GA: Mapping and Appraisal.\u003cbr\u003e \u003cbr\u003e Appendices.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e Index. About the Author Jeffrey C. Myers has over twenty years experience applying geostatistical methods to practical problems in both the mining and environmental industries. His work has included ore reserve estimation on projects involving commodities such as gold, silver, platinum, copper, lead, zinc, uranium, coal, lignite, gypsum, limestone, trona, diatomite, and sand and gravel. He participated in the development of commercial geostatistical software and installed customized ore grade control stations at working mines. Mr. Myers has extensive experience modeling hazardous chemicals in soils and groundwater, including VOCs, pesticides, heavy metals, PCBs, PAHs, and radionuclides, and has supplied expert support on numerous Superfund litigations. He has taught public and private geostatistical short courses for over a decade and taught graduate-level courses in environmental statistics. Mr. Myers holds a Bachelor of Science degree in Geology from West Virginia University and a Masters degree in Mining Engineering from the Colorado School of Mines.  Geostatistical Error Management Geostatistical modeling concepts and techniques have become daily practice in mining operations. That’s because these precise analytical tools help professionals quantify uncertainty and make objective decisions in the face of thorny \"real world\" challenges. Geostatistical Error Management is the first book to apply these proven quantitative tools to environmental challenges. The centerpiece of this working guide is an innovative decision-making framework, known as geostatistical error management (GEM). GEM integrates the related areas of Data Quality Objectives, Sampling Theory \u0026amp; Practice, and Geostatistical Appraisal to create an entirely new set of tools that help you more accurately assess resources for collecting environmental data, analyze sources of error in sampling, and quantify the extent and levels of contamination at environmentally impacted sites needing remediation. This practical, results-oriented resource \u003cul\u003e \u003cli\u003eFocuses on the environmental applications of geostatistical techniques and how they fit into today’s regulatory, legal, and engineering environments\u003c\/li\u003e \u003cli\u003eProvides step-by-step explanations for applying error management tools at every stage of an environmental site assessment\u003c\/li\u003e \u003cli\u003ePoints the way to applying GEM to environmental work beyond site evaluation and characterization\u003c\/li\u003e \u003c\/ul\u003e 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.","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989285028069,"sku":"NP9780471285564","price":196.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780471285564.jpg?v=1761783516","url":"https:\/\/k12savings.com\/es\/products\/geostatistical-error-management-isbn-9780471285564","provider":"K12savings","version":"1.0","type":"link"}