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| Titel |
Technical note: A significance test for data-sparse zones in scatter plots |
| VerfasserIn |
V. V. Vetrova, W. E. Bardsley |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 16, no. 4 ; Nr. 16, no. 4 (2012-04-26), S.1255-1257 |
| Datensatznummer |
250013262
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| Publikation (Nr.) |
 copernicus.org/hess-16-1255-2012.pdf |
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| Zusammenfassung |
| Data-sparse zones in scatter plots of hydrological variables can be of
interest in various contexts. For example, a well-defined data-sparse zone
may indicate inhibition of one variable by another. It is of interest
therefore to determine whether data-sparse regions in scatter plots are of
sufficient extent to be beyond random chance. We consider the specific
situation of data-sparse regions defined by a linear internal boundary within
a scatter plot defined over a rectangular region. An Excel VBA macro is
provided for carrying out a randomisation-based significance test of the
data-sparse region, taking into account both the within-region number of data
points and the extent of the region. Example applications are given with
respect to a rainfall time series from Israel and also to validation scatter
plots from a seasonal forecasting model for lake inflows in New Zealand. |
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