Environmental Informatics (EI) uses environmental data to reveal, quantify, and validate scientific hypotheses. It does this with a panoply of tools from the Statistics, Mathematics, Computing, and Visualisation disciplines.
The Centre for Environmental Informatics (CEI)'s vision is to promote the University of Wollongong's National Institute for Applied Statistics Research Australia (NIASRA) as an international leader in Environmental Informatics. CEI emphasizes statistical modelling and computation for big spatial and spatio-temporal environmental datasets that are incomplete, noisy, and generated by possibly non-linear, multi-scale, non-Gaussian, and multivariate processes. CEI has active research programs (e.g., in global remote sensing, CO2 flux inversion, space-based spectroscopy, multivariate spatial stochastic modelling) that involve postgraduate PhD students, post-doctoral fellows, and visitors.
EI is a relatively young discipline; just as bioinformatics has grown and now includes biostatistics as a sub-discipline, EI has the potential to integrate itself into the environmental sciences and be much broader in scope than classical environmental-statistical methodology. An expository paper on EI is given by: Cressie, N., Burden, S., Shumack, C., Zammit-Mangion, A., and Zhang, B. (2017). Environmental Informatics. Wiley StatsRef: Statistics Reference Online, pp. 1-8 (doi:10.1002/9781118445112.stat07717.pub2).