LEADER 05720nam 22008293u 450 001 9911006601103321 005 20230803023026.0 010 $a9781523132010 010 $a1523132019 010 $a9780486310930 010 $a0486310930 010 $a9781680150940 010 $a1680150944 035 $a(CKB)2550000001191138 035 $a(EBL)1897653 035 $a(SSID)ssj0001002754 035 $a(PQKBManifestationID)12362101 035 $a(PQKBTitleCode)TC0001002754 035 $a(PQKBWorkID)11016506 035 $a(PQKB)10043645 035 $a(Perlego)112755 035 $a(MiAaPQ)EBC1897653 035 $a(Au-PeEL)EBL1897653 035 $a(CaONFJC)MIL570561 035 $a(OCoLC)869523810 035 $a(EXLCZ)992550000001191138 100 $a20141229d2013|||| u|| | 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aModern Spatiotemporal Geostatistics 205 $a1st ed. 210 $aNewburyport $cDover Publications$d2013 215 $a1 online resource (593 p.) 225 1 $aDover Earth Science 300 $aDescription based upon print version of record. 311 08$a9780486488189 311 08$a0486488187 311 08$a9781306393102 311 08$a1306393108 327 $aCover; Title Page; Copyright Page; Dedication; Preface; Contents; Mapping Fundamentals; The Epistemic Status of Modern Spatiotemporal Geostatistics: It Pays to Theorize!; Why Modern Geostatistics?; Indetermination thesis; Spatiotemporal geometry; Sources of physical knowledge; The non-Procrustean spirit; Bayesian Maximum Entropy Space/Time Analysis and Mapping; BME features; The Integration Capability of Modern Spatiotemporal Geostatistics; The "Knowledge-Map" Approach; Scientific content; 1. Spatiotemporal Mapping in Natural Sciences; A More Realistic Concept 327 $aThe Spatiotemporal Continuum IdeaThe Coordinate System; Euclidean coordinate systems; Non-Euclidean coordinate systems; Metrical Structure; Separate metrical structures; Composite metrical structures; Some comments on physical spatiotemporal geometry; The Field Idea; Restrictions on spatiotemporal geometry imposed by field measurements and natural media; Restrictions on spatiotemporal geometry imposed by physical laws; The Complementarity Idea; Putting Things Together: The Spatiotemporal Random Field Concept; Correlation analysis and spatiotemporal geometry 327 $aPermissibility criteria and spatiotemporal geometryEffect of spatiotemporal geometry on mapping; Some Final Thoughts; 2. Spatiotemporal Geometry; From the General to the Specific; The General Knowledge Base; A mathematical formulation of the general knowledge base; General knowledge in terms of statistical moments; General knowledge in terms of physical laws; Some other forms of general knowledge; The Specificatory Knowledge Base; Specificatory knowledge in terms of hard data; Specificatory knowledge in terms of soft data; Summa Theologica; 3. Physical Knowledge 327 $aAcquisition and Processing of Physical KnowledgeEpistemic Geostatistics and the BME Analysis; Prior stage; Meta-prior stage; Integration or posterior stage; Conditional Probability of a Spatiotemporal Map and its Relation to the Probability of Conditionals; Material and strict map conditionals; Other map conditionals; The BME Net; 4. The Epistemic Paradigm; A Pragmatic Framework of the Mapping Problem; The Prior Stage; Map information measures in light of general knowledge; General knowledge-based map pdf 327 $aGeneral knowledge in the form of random field statistics (including multiple-point statistics)General knowledge in the form of physical laws; Possible modifications and generalizations of the prior stage; The Meta-Prior Stage; The Integration or Posterior Stage; The Structure of the Modern Spatiotemporal Geostatistics Paradigm; The Two Legs on Which the BME Equations Stand; 5. Mathematical Formulation of the BME Method; Specificatory Knowledge and Single-Point Mapping; Posterior Operators for Interval and Probabilistic Soft Data; Posterior Operators for Other Forms of Soft Data; Discussion 327 $a6. Analytical Expressions of the Posterior Operator 330 $aThis scholarly introductory treatment explores the fundamentals of modern geostatistics, viewing them as the product of the advancement of the epistemic status of stochastic data analysis. The book's main focus is the Bayesian maximum entropy approach for studying spatiotemporal distributions of natural variables, an approach that offers readers a deeper understanding of the role of geostatistics in improved mathematical models of scientific mapping. Starting with a overview of the uses of spatiotemporal mapping in the natural sciences, the text explores spatiotemporal geometry, the epistemic 410 0$aDover Earth Science 606 $aEarth sciences$xStatistical methods 606 $aMaximum entropy method 606 $aBayesian statistical decision theory 606 $aGeology$2HILCC 606 $aEarth & Environmental Sciences$2HILCC 606 $aGeology - General$2HILCC 615 0$aEarth sciences$xStatistical methods. 615 0$aMaximum entropy method. 615 0$aBayesian statistical decision theory. 615 7$aGeology 615 7$aEarth & Environmental Sciences 615 7$aGeology - General 676 $a550.72/7 686 $aSCI031000$2bisacsh 700 $aChristakos$b George$0283759 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9911006601103321 996 $aModern spatiotemporal geostatistics$9670686 997 $aUNINA