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020 a| 0195138953 (Trade Cloth)c| USD 110.00 Retail Price (Publisher)9| On Demand;

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245 10 a| Modern Spatiotemporal Geostatisticsh| [electronic resource];

260 a| New York : b| Oxford University Press, Incorporated;

300 a| 312 p.b| illc| 08.900 x 06.100 in.;

440 0 a| International Association for Mathematical Geosciences: Studies in Mathematical Geosciences Ser.;

506 a| Available only to authorized users.;

520 8 a| Annotationb| It is widely recognized that the techniques of classical geostatistics, which have been used for several decades, have reached their limit, and the time has come for some alternative approaches to be given a chance. This book, therefore, is an introduction to the fundamentals of moderngeostatistics, which is a group of spatiotemporal concepts and methods that are the products of the advancement of the epistemic status of stochastic data analysis. The latter is considered from a novel perspective, promoting the view that a deeper understanding of a theory of knowledge is animportant prerequisite for the development of improved mathematical models of scientific mapping. The main focus of the book is the Bayesian Maximum Entropy (BME) approach for studying spatiotemporal distributions of natural variables. As part of the modern geostatistics paradigm, the BME approachprovides a fundamental insight into the mapping problem in which the knowledge of a natural variable, not the variable itself, is the direct object of study. The thread running throughout the book is that the modern geostatistical approach to environmental problems is that of natural scientists whoare more interested in a stochastic analysis concerned with both the ontological level(building models for physical systems) and the epistemic level (using what we know about the physical systems and integrating and modeling knowledge from a variety of scientific disciplines), rather than in thepure naive inductive account of science based merely on a linear relationship between data and hypotheses and theory-free techniques that may be useful in other areas.;

538 a| Mode of access: World Wide Web;

650 4 a| Geology;

655 0 a| Electronic books.=| ^A491897;

856 40 z| Full text available from Ebook Central - Academic Completeu| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=430733;

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Modern Spatiotemporal Geostatistics

Author/creator	Christakos, George Author
Format	Electronic
Publication Info	New York : Oxford University Press, Incorporated
Description	312 p. ill 08.900 x 06.100 in.
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subjects	Geology

Series	International Association for Mathematical Geosciences: Studies in Mathematical Geosciences Ser.
Summary	Annotation It is widely recognized that the techniques of classical geostatistics, which have been used for several decades, have reached their limit, and the time has come for some alternative approaches to be given a chance. This book, therefore, is an introduction to the fundamentals of moderngeostatistics, which is a group of spatiotemporal concepts and methods that are the products of the advancement of the epistemic status of stochastic data analysis. The latter is considered from a novel perspective, promoting the view that a deeper understanding of a theory of knowledge is animportant prerequisite for the development of improved mathematical models of scientific mapping. The main focus of the book is the Bayesian Maximum Entropy (BME) approach for studying spatiotemporal distributions of natural variables. As part of the modern geostatistics paradigm, the BME approachprovides a fundamental insight into the mapping problem in which the knowledge of a natural variable, not the variable itself, is the direct object of study. The thread running throughout the book is that the modern geostatistical approach to environmental problems is that of natural scientists whoare more interested in a stochastic analysis concerned with both the ontological level(building models for physical systems) and the epistemic level (using what we know about the physical systems and integrating and modeling knowledge from a variety of scientific disciplines), rather than in thepure naive inductive account of science based merely on a linear relationship between data and hypotheses and theory-free techniques that may be useful in other areas.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	00060607
ISBN	9780195138955
ISBN	0195138953 (Trade Cloth) On Demand
Standard identifier#	9780195138955
Stock number	00020142

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Modern Spatiotemporal Geostatistics

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