{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":1,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":33,"n_cols":5,"rows_kept":33,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[2,4,2,5],[3,2,3,3],[4,2,4,3],[9,2,9,3],[10,2,10,3],[11,2,11,3],[12,2,12,3],[14,2,14,3],[22,2,22,3],[23,2,23,3],[26,2,26,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA9910141310403321"]
[null,null,"Autore",null,"Chil?s Jean-Paul"]
[null,null,"Titolo",null,"Geostatistics [[electronic resource] ] : Modeling Spatial Uncertainty"]
[null,null,"Pubbl/distr/stampa",null,"Hoboken, : Wiley, 2012"]
[null,null,"ISBN",null,"1-280-58852-7"]
[{"$nulls":4},"9786613618351"]
[{"$nulls":4},"1-118-13617-9"]
[{"$nulls":4},"1-118-13618-7"]
[{"$nulls":4},"1-118-13615-2"]
[null,null,"Edizione",null,"[2nd ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (740 p.)"]
[null,null,"Collana",null,"Wiley Series in Probability and Statistics ; ; v.713"]
[null,null,"Disciplina",null,"550"]
[{"$nulls":4},"550.72"]
[null,null,"Soggetti",null,"Earth sciences - Statistical methods"]
[{"$nulls":4},"Earth sciences -- Statistical methods"]
[{"$nulls":4},"Environmental engineering"]
[{"$nulls":4},"Geology -- Statistical methods"]
[{"$nulls":4},"Mining engineering"]
[{"$nulls":4},"Geology"]
[{"$nulls":4},"Earth & Environmental Sciences"]
[{"$nulls":4},"Geology - General"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,"Nota di contenuto",null,"Geostatistics: Modeling Spatial Uncertainty; Contents; Preface to the Second Edition; Preface to the First Edition; Abbreviations; Introduction; Types of Problems Considered; Description or Interpretation?; 1. Preliminaries; 1.1: Random Functions; 1.2: On the Objectivity of Probabilistic Statements; 1.3: Transitive Theory; 2. Structural Analysis; 2.1: General Principles; 2.2: Variogram Cloud and Sample Variogram; 2.3: Mathematical Properties of the Variogram; 2.4: Regularization and Nugget Effect; 2.5: Variogram Models; 2.6: Fitting a Variogram Model"]
[{"$nulls":4},"2.7: Variography in the Presence of a Drift2.8: Simple Applications of the Variogram; 2.9: Complements: Theory of Variogram Estimation and Fluctuation; 3. Kriging; 3.1: Introduction; 3.2: Notations and Assumptions; 3.3: Kriging with a Known Mean; 3.4: Kriging with an Unknown Mean; 3.5: Estimation of a Spatial Average; 3.6: Selection of a Kriging Neighborhood; 3.7: Measurement Errors and Outliers; 3.8: Case "]
[{"$nulls":4},"Study: The Channel Tunnel; 3.9: Kriging Under Inequality Constraints; 4. Intrinsic Model of Order k; 4.1: Introduction; 4.2: A Second Look at the Model of Universal Kriging"]
[{"$nulls":4},"4.3: Allowable Linear Combinations of Order k4.4: Intrinsic Random Functions of Order k; 4.5: Generalized Covariance Functions; 4.6: Estimation in the IRF Model; 4.7: Generalized Variogram; 4.8: Automatic Structure Identification; 4.9: Stochastic Differential Equations; 5. Multivariate Methods; 5.1: Introduction; 5.2: Notations and Assumptions; 5.3: Simple Cokriging; 5.4: Universal Cokriging; 5.5: Derivative Information; 5.6: Multivariate Random Functions; 5.7: Shortcuts; 5.8: Space-Time Models; 6. Nonlinear Methods; 6.1: Introduction; 6.2: Global Point Distribution"]
[{"$nulls":4},"6.3: Local Point Distribution: Simple Methods6.4: Local Estimation by Disjunctive Kriging; 6.5: Selectivity and Support Effect; 6.6: Multi-Gaussian Change-of-Support Model; 6.7: Affine Correction; 6.8: Discrete Gaussian Model; 6.9: Non-Gaussian Isofactorial Change-of-Support Models; 6.10: Applications and Discussion; 6.11: Change of Support by the Maximum (C. Lantuéjoul); 7. Conditional Simulations; 7.1: Introduction and Definitions; 7.2: Direct Conditional Simulation of a Continuous Variable; 7.3: Conditioning by Kriging; 7.4: Turning Bands"]
[{"$nulls":4},"7.5: Nonconditional Simulation of a Continuous Variable7.6: Simulation of a Categorical Variable; 7.7: Object-Based Simulations: Boolean Models; 7.8: Beyond Standard Conditioning; 7.9: Additional Topics; 7.10: Case Studies; Appendix; References; Index"]
[null,null,null,"Sommario/riassunto","Praise for the First Edition  \"\". . . a readable, comprehensive volume that . . . belongs on the desk, close at hand, of any serious researcher or practitioner.\"\" -Mathematical Geosciences The state of the art in geostatistics Geostatistical models and techniques such as kriging and stochastic multi-realizations exploit spatial correlations to evaluate natural resources, help optimize their development, and address environmental issues related to air and water quality, soil pollution, and forestry. Geostatistics: Modeling Spatial Uncertainty, Second Edition presents a comprehensive"]