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243710857
Spatiotemporal Data Analysis
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Item #:
243710857
MAD 1194
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This self-contained, practical guide to the analysis of multidimensional data sets features a wealth of real-world examples as well as sample homework exercises and suggested exams.
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- A severe thunderstorm morphs into a tornado that cuts a swath of destruction through Oklahoma. How do we study the storm's mutation into a deadly twister? Avian flu cases are reported in China. How do we characterize the spread of the flu, potentially preventing an epidemic? The way to answer important questions like these is to analyze the spatial and temporal characteristics--origin, rates, and frequencies--of these phenomena. This comprehensive text introduces advanced undergraduate students, graduate students, and researchers to the statistical and algebraic methods used to analyze spatiotemporal data in a range of fields, including climate science, geophysics, ecology, astrophysics, and medicine. Gidon Eshel begins with a concise yet detailed primer on linear algebra, providing readers with the mathematical foundations needed for data analysis. He then fully explains the theory and methods for analyzing spatiotemporal data, guiding readers from the basics to the most advanced applications. This self-contained, practical guide to the analysis of multidimensional data sets features a wealth of real-world examples as well as sample homework exercises and suggested exams.
| Publisher | Princeton University Press |
| Publication date | December 5, 2011 |
| Edition | 1st |
| Language | English |
| File size | 8.4 MB |
| Screen Reader | Supported |
| Enhanced typesetting | Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 336 pages |
| ISBN-13 | 978-1400840632 |
| Page Flip | Enabled |
| Item Weight | 1.5 lbs (680 grams) |
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Spatiotemporal Data Analysis
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MAD 1194
This product is not Fulfilled by Ubuy and can take minimum 10 days in delivery. We might cancel the product from the order and refund you if any issue arise with the delivery of this product.
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Features & Benefits
- Comprehensive text designed for advanced undergraduate and graduate students.
- Focuses on statistical and algebraic methods for spatiotemporal data analysis.
- Covers various fields including climate science, geophysics, and medicine.
- Includes real-world examples to enhance understanding.
- Offers sample homework exercises to reinforce learning.
- Guides readers from basic concepts to advanced applications.
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