£107.73

Springer - Geostatistics for Engineers and Earth Scientists

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Description

Engineers and earth scientists require specialized tools to analyze and model data that describe natural processes. When measurements are taken at specific geographical locations, classical statistics often fall short because they cannot account for auto- and cross-correlation. This book provides the necessary foundation for using geostatistics to handle these complex scenarios. By focusing on numerical techniques for characterizing spatial attributes, this text offers a way to interpret imperfect knowledge of natural phenomena. It approaches spatial data with a methodology similar to the treatment of time series, making it a practical resource for those working with data that is not perfectly defined. Whether you are modeling natural attributes or interpreting geographical data, this Springer publication provides the quantitative methods needed for accurate analysis and modeling in the earth sciences.

Key Features

Provides quantitative methods for the analysis and interpretation of data describing natural processes or attributes.

Addresses the limitations of classical statistics when dealing with auto- and cross-correlation in natural phenomena.

Offers numerical techniques specifically designed for the characterization of spatial attributes.

Applies a methodology for spatial data similar to the treatment used in time series analysis.

Designed for engineers and earth scientists working with imperfect knowledge and geographical data measurements.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
22 December 2012
Listed Since
20 September 2013

Barcode

No barcode data available

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