This book asks: What are the most suitable mapping strategies for detecting patterns of global
dynamics? It adopts a spatial perspective when trying to understand Global Dynamics - and sets
out to revolutionise the concept of space as such. Spatial views - on levels of increasing
abstraction reflection and self-organisation - are developed along eight case studies
including air emissions environmental radioactivity deforestation energy from biomass land
use change food supply water quality and cooperative interdisciplinary learning for global
change. This book's conceptual innovation consists in performing a transformation from space &
time into functional state space & evolutionary time in order to better recognise the
structural patterns of long-term global dynamics. A transdisciplinary readership in academia -
including geography philosophy economics global change and future research - that is
interested in enlarging scientific concepts beyond classical borders - would be most welcome!