A short note on quantifying and visualizing yearly variation in online monitored temperature data

Kauermann G, Mestekemper T (2012)
Statistical Modelling 12(2): 195-209.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Abstract / Bemerkung
The paper demonstrates how seasonal variation in sequentially arriving temperature data can be visualized by the specification of landmarks and subsequent time warping. We exemplify the idea with water temperature data from the river Wupper in northwestern Germany and with air temperature data from Berlin, Germany. Landmarks are thereby based on temperature thresholds. The method allows to assess whether the seasonal variation is running ahead or behind the average.
Stichworte
monotonic smoothing; warping; landmark specification; temperature curves
Erscheinungsjahr
2012
Zeitschriftentitel
Statistical Modelling
Band
12
Ausgabe
2
Seite(n)
195-209
ISSN
1471-082X
eISSN
1477-0342
Page URI
https://pub.uni-bielefeld.de/record/2501873

Zitieren

Kauermann G, Mestekemper T. A short note on quantifying and visualizing yearly variation in online monitored temperature data. Statistical Modelling. 2012;12(2):195-209.
Kauermann, G., & Mestekemper, T. (2012). A short note on quantifying and visualizing yearly variation in online monitored temperature data. Statistical Modelling, 12(2), 195-209. doi:10.1177/1471082X1001200204
Kauermann, G., and Mestekemper, T. (2012). A short note on quantifying and visualizing yearly variation in online monitored temperature data. Statistical Modelling 12, 195-209.
Kauermann, G., & Mestekemper, T., 2012. A short note on quantifying and visualizing yearly variation in online monitored temperature data. Statistical Modelling, 12(2), p 195-209.
G. Kauermann and T. Mestekemper, “A short note on quantifying and visualizing yearly variation in online monitored temperature data”, Statistical Modelling, vol. 12, 2012, pp. 195-209.
Kauermann, G., Mestekemper, T.: A short note on quantifying and visualizing yearly variation in online monitored temperature data. Statistical Modelling. 12, 195-209 (2012).
Kauermann, Göran, and Mestekemper, Thomas. “A short note on quantifying and visualizing yearly variation in online monitored temperature data”. Statistical Modelling 12.2 (2012): 195-209.