Additive Mixed Modelling Applied on Phytoplankton Time Series Data
Environmental variables and phytoplankton variables were not always measured at the same time.
There may be temporal correlation, there may be spatial correlation, and both correlation structures may be complicated.
The data contain a large number of species.
The data are irregularly spaced.
There may be heterogeneity over time (e.g. more variation in summer than in winter).
Trends over time and in space may be non-linear.
The phytoplankton data were counted by different laboratories.