by : Yuan Lifeng
It is of great significance to dynamically simulate and forecast the development and evolutionary of soil erosion process. Traditionally, most of soil erosion models are essentially steady-state models. Thus, they have limitations at real-time simulation on the initiation and development of soil erosion process. Cellular Automata (CA), with a “from down to up” dynamic modeling framework, is capable to simulate the spatial-temporal evolutionary process of complex geographical system.
© Robert Haining 2004
University of Cambridge
Spatial Data Analysis
Theory and Practice
Spatial Data Analysis: Theory and Practice provides a broad-ranging treatment of the field of spatial data analysis. It begins with an overview of spatial data analysis and the importance of location (place, context and space) in scientific and policy-related research. Covering fundamental problems concerning how attributes in geographical space are represented to the latest methods of exploratory spatial data analysis and spatial modelling, it is designed to take the reader through the key areas that underpin the analysis of spatial data, providing a platform from which to view and critically appreciate many of the key areas of the field. Parts of the text are accessible to undergraduate and master’s level students, but it also contains sufficient challenging material that it will be of interest to geographers, social scientists and economists, environmental scientists and statisticians, whose research takes them into the area of spatial analysis.
Professor Dr. Klaus Mainzer
Lehrstuhl für Philosophie und Wissenschaftstheorie
Institut für Interdisziplinäre Informatik
86135 Augsburg, Germany
Springer Complexity is an interdisciplinary program publishing the best research and academic-level teaching on both fundamental and applied aspects of complex systems – cutting across all traditional disciplines of the natural and life sciences, engineering, economics, medicine, neuroscience, social and computer science.
Cellular Nonlinear/neural Network (CNN) technology is both a revolutionary concept and an experimentally proven new computing paradigm. Analogic cellular computers based on CNNs are
set to change the way analog signals are processed and are paving the way to an entire new analog computing industry.
Tri P.D. VAN 1, Paul A. CARLING 1, Tom J. COULTHARD 2 and Peter M. ATKINSON 1
1 School of Geography, University of Southampton,Southampton, SO17 1BJ, UK
2 School of Geography, University of Hull, Hull, HU6 7RX, UK
A b s t r a c t
Bifurcations in river networks are key components of anastomosing river systems. However, most research has investigated bifurcations in meandering and braided river systems but not in anastomosing ones. In addition, numerical modelling has been mainly conducted for a single reach.