Research Commons
      • Browse 
        • Communities & Collections
        • Titles
        • Authors
        • By Issue Date
        • Subjects
        • Types
        • Series
      • Help 
        • About
        • Collection Policy
        • OA Mandate Guidelines
        • Guidelines FAQ
        • Contact Us
      • My Account 
        • Sign In
        • Register
      View Item 
      •   Research Commons
      • University of Waikato Research
      • Science and Engineering
      • Science and Engineering Papers
      • View Item
      •   Research Commons
      • University of Waikato Research
      • Science and Engineering
      • Science and Engineering Papers
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

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

      Vetrova, V. V.; Bardsley, W. Earl
      Thumbnail
      Files
      Bardsley technical note.pdf
      262.8Kb
      DOI
       10.5194/hess-16-1255-2012
      Link
       www.hydrol-earth-syst-sci.net
      Find in your library  
      Citation
      Export citation
      Vetrova, V.V., Bardsley, W.E. (2012). Technical note: A significance test for data-sparse zones in scatter plots. Hydrology and Earth System Sciences, 16(4), 1255-1257.
      Permanent Research Commons link: https://hdl.handle.net/10289/6442
      Abstract
      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.
      Date
      2012
      Type
      Journal Article
      Publisher
      Copernicus Publications
      Rights
      This article has been published in the journal: Hydrology and Earth System Sciences. © Author(s) 2012. This work is distributed under the Creative Commons Attribution 3.0 License.
      Collections
      • Science and Engineering Papers [3073]
      Show full item record  

      Usage

      Downloads, last 12 months
      48
       
       
       

      Usage Statistics

      For this itemFor all of Research Commons

      The University of Waikato - Te Whare Wānanga o WaikatoFeedback and RequestsCopyright and Legal Statement