Evolving from years of teaching experience by one of the top
experts in vegetation ecology, Data Analysis in Vegetation
Ecology aims to explain the background and basics of
mathematical (mainly multivariate) analysis of vegetation data.
The book lays out the basic operations involved in the analysis,
the underlying hypotheses, aims and points of views. It conveys the
message that each step in the calculations has a specific,
straightforward meaning and that patterns and processes known by
ecologists often find their counterpart in mathematical operations
and functions. The first chapters introduce the elementary concepts
and operations and relate them to real-world phenomena and
problems. Later chapters concentrate on combinations of methods to
reveal surprising features in data sets. Showing how to find
patterns in time series, how to generate simple dynamic models, how
to reveal spatial patterns and related occurrence probability
maps.