zbMATH — the first resource for mathematics

Visualizing abnormal climate changes in central America from 1995 to 2000. (English) Zbl 1226.86007
Summary: This article describes statistical approaches that led to our main results regarding the abnormal climate changes of Central America from 1995 to 2000. These results are depicted in the poster http://stat-computing.org/dataexpo/2006/entries.html submitted at the contest of 2006 ASA Data Exposition.
86A32 Geostatistics
62-09 Graphical methods in statistics (MSC2010)
graphics; gss; RGraphics
Full Text: DOI
[1] Cleveland RB, Cleveland WS, McRae J, Terpenning I (1990) STL: a seasonal-trend decomposition procedure based on loess. J Off Stat 6: 3–73
[2] Gu C (2002) Smoothing spline ANOVA models. Springer, New York · Zbl 1051.62034
[3] Hastie T, Tibshirani R, Friedman J (2001) The elements of statistical learing; data mining, inference, and prediction. Springer, New York · Zbl 0973.62007
[4] Luo Z (1996) Backfitting in smoothing spline ANOVA, with application to historical global temperature. Ph.D. Thesis, University of Wisconsion-Madison
[5] Murrell P (2006) R graphics. Chapman & Hall/CRC, Boca Raton · Zbl 1075.68095
[6] Murrell P (2010) Editorial: the 2006 data expo of the American statistical association. Comput Stat · Zbl 1226.01011
[7] Pidwirny M (2006) El Nino, La Nina and the Southern Oscilation. Fundamentals of physical geography, 2nd edn. http://www.physicalgeography.net/fundamentals/7z.html
[8] Reddy MPM (2001) Descriptive physical oceanography. A.A. Balkema Publishers, Lisse
[9] Wahba G (1990) Spline models for observational data. SIAM, Philadelphia · Zbl 0813.62001
[10] Wahba G, Luo Z (1995) Smoothing spline anova fits for very large, nearly regular data sets, with application to historical global climate data. Technical report, University of Wisconsion-Madison · Zbl 0885.65013
[11] Zaratti F, Andrade M, Forno R, Palenque E (1999) Longitudinal and latitudinal variations of the total ozone over the central andes. Il Nuovo Cimento 22: 145–152
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.