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006 m o d
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008 110908t20122012njuad ob 001 0 eng|d
020 _z9780691128917 (hardback)
020 _a9781400840632 (e-book)
035 _a(CaPaEBR)ebr10862955
035 _a(OCoLC)769927219
040 _aCaPaEBR
_beng
_erda
_epn
_cCaPaEBR
050 1 4 _aQA278.2
_b.E84 2012eb
082 0 4 _a519.5/36
_223
100 1 _aEshel, Gidon,
_d1958-
_eauthor.
245 1 0 _aSpatiotemporal data analysis /
_cGidon Eshel.
264 1 _aPrinceton :
_bPrinceton University Press,
_c[2012]
264 4 _c©2012
300 _a1 online resource (336 pages) :
_billustrations
336 _atext
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
504 _aIncludes bibliographical references and index.
520 _a"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"--
_cProvided by publisher.
588 _aDescription based on print version record.
590 _aElectronic reproduction. Palo Alto, Calif. : ebrary, 2014. Available via World Wide Web. Access may be limited to ebrary affiliated libraries.
650 0 _aSpatial analysis (Statistics)
655 0 _aElectronic books.
776 0 8 _iPrint version:
_aEshel, Gidon.
_tSpatiotemporal data analysis.
_dPrinceton : Princeton University Press, [2012]
_hxvi, 317 pages ; 24 cm
_z9780691128917
_w(DLC)10862955
797 2 _aebrary.
856 4 0 _uhttp://site.ebrary.com/lib/daystar/Doc?id=10862955
_zAn electronic book accessible through the World Wide Web; click to view
908 _a170314
942 0 0 _cEB
999 _c172322
_d172322