References

GWSDAT: further information

• 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.
• Groundwater Open Access Technology Spotlight article
• Introducing GWSDAT (GroundWater Spatiotemporal Data Analysis Tool). API poster.

Statistical methods

• Eilers, P. H. C., Marx, B. D. (1996). Flexible smoothing with b-splines and penalties. Statistical Science 11, 89–121.
• 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.
• Evers et al. (2015). Efficient and automatic methods for flexible regression on spatiotemporal data, with applications to groundwater monitoring. Environmetrics 26, 431-441.

Software tools

• 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. and Azzalini. A. (2014). R package sm: nonparametric smoothing methods (version 2.2-5.5).  CRAN archive.
• 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.
• 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.