Analysis and Modelling of Environmental Data by Mikhail Kanevski; Michel Maignan PDF

By Mikhail Kanevski; Michel Maignan

ISBN-10: 2940222029

ISBN-13: 9782940222025

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Extra resources for Analysis and Modelling of Environmental Data

Example text

_ • • • 8 . • • .. Ck .. 13 2 Te .. , . -· � ' ... � Fig. 6 Trend detection by projecting data onto X. Y coordinate axis. IOI SOO " : E "" •OllO � "91 5715 661 7415 I! 8Jt OI)I � � Standard Oev�on � � lllO 11111 ••AlO 491 576 • · '. · � " · - · · ' ' � Mnn Value ... , •• � I "" '' ';! .. , � .. "" ·� oo � Median :' • 491 831 .. &61 7'6 B ll Flg. 7 mes Swiss data. Moving window statistics: number ofpoints in the window, medfan, mean value, standard deviation. 7. The basic statistical parameters, like the mean and median values, number of points in the window and standard deviation are given.

Fig. 6 Trend detection by projecting data onto X. Y coordinate axis. IOI SOO " : E "" •OllO � "91 5715 661 7415 I! 8Jt OI)I � � Standard Oev�on � � lllO 11111 ••AlO 491 576 • · '. · � " · - · · ' ' � Mnn Value ... , •• � I "" '' ';! .. , � .. "" ·� oo � Median :' • 491 831 .. &61 7'6 B ll Flg. 7 mes Swiss data. Moving window statistics: number ofpoints in the window, medfan, mean value, standard deviation. 7. The basic statistical parameters, like the mean and median values, number of points in the window and standard deviation are given.

Splitting the data depends on the quantity and quality of d ata and objective of the study. There are no general recommendations for data splitting. The basic proposal is to split data into representative data subsets, which is not easy at all in the case of data which are spatially correlated, because the monitoring network clu tering, the patial correlation structures, etc. have to be taken into account. The simplest way is to spit data randomly into several portions. Of course, in the case of a cl ustered network this split will give rise to a non-representative validation data set.

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Analysis and Modelling of Environmental Data by Mikhail Kanevski; Michel Maignan


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