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Abstract

Summary

The GroundWater Spatiotemporal Data Analysis Tool (GWSDAT) was developed by Shell Global Solutions and the University of Glasgow "to provide a simple to use, but statistically powerful decision support tool to environmental engineers and practitioners who routinely report on the status of numerous groundwater monitoring sites.", through the use of joint modelling of both spatial and time elements in a single spatiotemporal modelling framework. The aim of this presentation is to provide an overview of GWSDAT and its functionalities, and to illustrate its use via a published case study.

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/content/papers/10.3997/2214-4609.2021623010
2021-09-15
2024-04-25
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References

  1. Cressie, N., and C.K.Wikle
    , 2011, Statistics for Spatio-Temporal Data. New York: John Wiley & Sons Inc.
    [Google Scholar]
  2. Jones et al.
    , 2014, A software tool for the spatiotemporal analysis and reporting of groundwater monitoring data, Environmental Modelling & Software, 55, 242–249.
    [Google Scholar]
  3. McLean et al.
    , 2019, Statistical modelling of groundwater contamination monitoring data: A comparison of spatial and spatiotemporal methods, Science of The Total Environment, 652, 1339–1346.
    [Google Scholar]
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