Time Spatial

Many ecological phenomena may be modelled using apparently random processes involving space (and possibly time). Such phenomena are classified as spatial in their nature and include all aspects of pollution. This book addresses the problem of modelling spatial effects in ecology and population dynamics using reaction-diffusion models.
* Rapidly expanding area of research for biologists and applied mathematicians

This book provides a complete introduction into spatial networks. It offers the mathematical tools needed to characterize these structures and how they evolve in time and presents the most important models of spatial networks.

The Goals of Data Collection and Its Statistical Treatment in the Earth Sciences The earth sciences are characterised by loose and complex relationships between variables, and the necessity to understand the geographical dis­ tribution of observations as well as their frequency distribution. Our fre­ quency distributions and the looseness of relationships reflect the com­ plexity and intrinsic natural variation in nature, more than measurement error. Furthermore, earth scientists cannot design experiments according to statistical recommendation because the availability and complexity of data are beyond our control.

This book, combining integratively-revised previously-published papers with entirely new chapters, challenges and treats some major problems in Kant’s philosophy not by means of new interpretations but by suggesting some variations on Kantian themes. Such variations are, in fact, reconstructions made according to Kantian ideas and principles and yet cannot be extracted as such directly from his writings. The book also analyses Kant's philosophy from a new metaphysical angle, based on the original metaphysics of the author, called panenmentalism.