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Technical Note: a Significance Test for Data-sparse Zones in Scatter Plots : Volume 9, Issue 1 (26/01/2012)

By Vetrova, V. V.

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Book Id: WPLBN0004013175
Format Type: PDF Article :
File Size: Pages 9
Reproduction Date: 2015

Title: Technical Note: a Significance Test for Data-sparse Zones in Scatter Plots : Volume 9, Issue 1 (26/01/2012)  
Author: Vetrova, V. V.
Volume: Vol. 9, Issue 1
Language: English
Subject: Science, Hydrology, Earth
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Bardsley, W. E., & Vetrova, V. V. (2012). Technical Note: a Significance Test for Data-sparse Zones in Scatter Plots : Volume 9, Issue 1 (26/01/2012). Retrieved from

Description: Department of Earth & Ocean Sciences, University of Waikato, Hamilton, New Zealand. 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 to validation scatter plots from a seasonal forecasting model for lake inflows in New Zealand.

Technical Note: A significance test for data-sparse zones in scatter plots

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