Spatial Modeling Principles in Earth Sciences

Nonfiction, Science & Nature, Science, Earth Sciences, Geology, Geography
Cover of the book Spatial Modeling Principles in Earth Sciences by Zekai Sen, Springer Netherlands
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Author: Zekai Sen ISBN: 9781402096723
Publisher: Springer Netherlands Publication: June 10, 2009
Imprint: Springer Language: English
Author: Zekai Sen
ISBN: 9781402096723
Publisher: Springer Netherlands
Publication: June 10, 2009
Imprint: Springer
Language: English

Spatial Modeling Principles in Earth Sciences presents fundamentals of spatial data analysis used in hydrology, geology, meteorology, atmospheric science and related fields. It examines methods for the quantitative determination of the spatial distribution patterns. This book brings together the material from the current literature in earth sciences and practical examples.

It provides a sound background of philosophical, logical, rational and physical principles of spatial data and analysis, and explains how it can be modeled and applied in earth sciences projects and designs. It collects information not previously available in one source, and provides methodology for the treatment of spatial data to find the most rational and practical solution.

The book is a valuable resource for students, researchers and practitioners of a broad range of disciplines including geology, geography, hydrology, meteorology, environment, image processing, spatial modeling and related topics.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Spatial Modeling Principles in Earth Sciences presents fundamentals of spatial data analysis used in hydrology, geology, meteorology, atmospheric science and related fields. It examines methods for the quantitative determination of the spatial distribution patterns. This book brings together the material from the current literature in earth sciences and practical examples.

It provides a sound background of philosophical, logical, rational and physical principles of spatial data and analysis, and explains how it can be modeled and applied in earth sciences projects and designs. It collects information not previously available in one source, and provides methodology for the treatment of spatial data to find the most rational and practical solution.

The book is a valuable resource for students, researchers and practitioners of a broad range of disciplines including geology, geography, hydrology, meteorology, environment, image processing, spatial modeling and related topics.

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