£121.29

Springer Geostatistics for Engineers and Earth Scientists

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Description

Geostatistics for Engineers and Earth Scientists provides a specialized look at quantitative methods for analyzing and modeling data. For professionals in engineering and earth sciences, managing data that imperfectly describes natural processes is a common challenge. This text addresses the limitations of classical statistics when dealing with auto- and cross-correlation in natural phenomena. Instead of relying on traditional methods that may not account for spatial relationships, this book introduces geostatistics as a collection of numerical techniques. These methods allow for the characterization of spatial attributes in a manner similar to time series analysis. It is a practical resource for those needing to perform inference from imperfect knowledge and interpret data measured at specific geographical locations. Whether you are working with environmental modeling or geological data, this Springer publication offers the mathematical framework necessary to handle spatial dependencies. It bridges the gap between classical statistical theory and the specific requirements of earth science and engineering applications.

Key Features

Learn numerical techniques for the characterization of spatial attributes to better understand natural processes.

Address the limitations of classical statistics by utilizing methods designed for auto- and cross-correlation.

Gain expertise in performing inference from imperfect knowledge regarding data at geographical locations.

Apply quantitative methods to the analysis, interpretation, and modeling of complex natural data.

Explore spatial attribute characterization using approaches similar to time series treatment.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 May 1999
Listed Since
15 December 2006

Barcode

No barcode data available

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