Spatiotemporal Data Analysis
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Spatiotemporal Data Analysis

by Gidon Eshel

Science Mathematics
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Spatiotemporal Data Analysis by Gidon Eshel introduces key methods for studying data that changes across both space and time. It equips readers with essential tools to identify patterns in complex datasets, applicable to various scientific fields requiring spatial-temporal insights. This book serves as a solid reference for analytical approaches in dynamic environments.

About This Book

Spatiotemporal Data Analysis by Gidon Eshel delves into the examination of data that incorporates both spatial and temporal dimensions. This approach is essential for fields where location and time interplay significantly.

The book covers foundational concepts necessary for analyzing such datasets, emphasizing patterns and relationships that emerge over geographic areas and periods.

Readers will gain insights into techniques for handling spatiotemporal information, making it a valuable resource for researchers and practitioners in related disciplines.

With a focus on rigorous analysis, the text supports applications in environmental science, geography, and beyond, where understanding change over space and time is crucial.

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I will be using this book for: