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23%OFFGidon Eshel - Spatiotemporal Data Analysis - 9780691128917 - V9780691128917
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Spatiotemporal Data Analysis

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Description for Spatiotemporal Data Analysis Hardback. 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. Num Pages: 368 pages, 76 halftones. 19 line illus. BIC Classification: PBF; PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 242 x 169 x 26. Weight in Grams: 594.
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 ... Read more

Product Details

Format
Hardback
Publication date
2012
Publisher
Princeton University Press United States
Number of pages
336
Condition
New
Number of Pages
368
Place of Publication
New Jersey, United States
ISBN
9780691128917
SKU
V9780691128917
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1

About Gidon Eshel
Gidon Eshel is Bard Center Fellow at Bard College.

Reviews for Spatiotemporal Data Analysis
"I believe practitioners and theoreticians from many diverse fields will find the book comprehensive, detailed and beneficial. The material is applicable to a broad range of topics, and the author has a clear presentation with an in-class lecturing tone."
Elvan Ceyhan, Mathematical Reviews Clippings

Goodreads reviews for Spatiotemporal Data Analysis


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