{"product_id":"geostatistical-error-management-9780471285564","title":"Geostatistical Error Management","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eGeostatistical 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 o\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eINTRODUCTION 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.","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402551271767,"sku":"9780471285564","price":999.99,"currency_code":"GBP","in_stock":false}],"url":"https:\/\/bookcurl.com\/products\/geostatistical-error-management-9780471285564","provider":"Book Curl","version":"1.0","type":"link"}