TEMPORAL DATA MODELING AND ROLE OF GRAPHI SM

The importance of graphism for temporal data modelling, which is often used in ecopathology, is illustrated through 2 examples. The first co ncerns a univariate time series (tank milk germ measurements). It uses correlograms (choice of the model), plots of residuals of the model ( diagnostics) and principal component analysis graphical outputs (compa rison of time series). The second concerns climate multivariate monthl y time series. A 3-way analysis and graphical outputs are used to give a mark to each station, describing its climate for a set of months.