Spatio-temporal modelling applied to marine pollution data

Abstract

Complex spatio-temporal interactions are exhibited in various natural systems as witnessed in meteorology and epidemiology. Due to the complexity of the interactions involved, known physical, biological or chemical laws cannot fully describe the dynamics behind these processes. The study of these systems thus depends on measurements often taken at various discrete spatial locations through time by noisy sensors. Therefore scientists often necessitate interpolative, visualisation and analytical tools to deal with the large volumes of data common of these systems.