GWSDAT: further information
Jones, W.R., Rock, L., Wesch, A., Marzusch, E., Low, M. (2022). Groundwater Spatiotemporal Data Analysis Tool: Case Studies, New Features and Future Developments . Groundwater Monitoring and Remediation.
GWSDAT User Manual: http://gwsdat.net/gwsdat_manual/
Jones, W.R., Spence, M.J., Bonte, M. 2015. Analyzing Groundwater Quality Data and Contamination Plumes with GWSDAT , Groundwater.
Jones, W.R., Spence, M.J., Bowman, A.W., Evers, L., Molinari, D.A. (2014). A software tool for the spatiotemporal analysis and reporting of groundwater monitoring data . Environmental Modelling & Software 55, 242-249.
Introducing GWSDAT (GroundWater Spatiotemporal Data Analysis Tool) . API poster.
Statistical methods
Mclean, M.I., Evers, L., Bowman, A.W., Bonte, M., Jones, W.R. 2018 . Statistical modelling of groundwater contamination monitoring data: A comparison of spatial and spatiotemporal methods. Science of the Total Environment.
Mclean, M. I., 2018. Spatiotemporal models for the analysis and optimisation of groundwater quality monitoring networks , PhD Thesis (Glasgow).
Evers L., Molinari, D.A., Bowman, A.W., Jones, W.R., Spence, M.J. (2015). Efficient and automatic methods for flexible regression on spatiotemporal data, with applications to groundwater monitoring . Environmetrics 26, 431-441.
Molinari, D. A., 2014. Spatiotemporal modelling of groundwater contaminants , PhD Thesis (Glasgow).
Bowman, A.W. and Azzalini, A. (1997). Applied Smoothing Techniques for Data Analysis: the Kernel Approach with S-Plus Illustrations . Oxford University Press, Oxford, 1997.
Eilers, P. H. C., Marx, B. D. (1996). Flexible smoothing with b-splines and penalties. Statistical Science 11, 89–121.
Software tools
Bowman, A.W., Crawford, E., Alexander, G., Bowman, R.W. (2018). R package panel: Simple Interactive Controls for R using the ‘tcltk’ Package (version 1.1-4) . CRAN archive.
Chang, W., Cheng, J., Allaire, JJ, Xie, J., McPherson, J. (2017). shiny: Web Application Framework for R. R package (version 1.0.4) . CRAN archive.
Bowman, A.W. and Azzalini. A. (2014). R package sm: nonparametric smoothing methods (version 2.2-5.5) . CRAN archive.
R Development Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, 2008. ISBN 3-900051-07-0, http://www.r-project.org
Bowman, A.W., Crawford, E., Alexander, G., Bowman, R.W. (2007). rpanel: Simple Interactive Controls for R Functions Using the tcltk Package . Journal of Statistical Software, 17(9), 1-18.
