Mathematics for Ecology and Environmental Sciences (Biological and Medical Physi
Y. Takeuchi, Y. Iwasa , K. Sato, "Mathematics for Ecology and Environmental Sciences (Biological and Medical Physics, Biomedical Engineering)"
Springer; 1 edition (January 24, 2007) | ISBN: 3540344276 | 183 pages | PDF | 2,3 Mb
Dynamical systems theory in mathematical biology has attracted much attention from many scientific directions. The purpose…
Rainer Brüggemann Lars Carlsen Partial Order in Environmental Sciences and Ch
Rainer Brüggemann, Lars Carlsen - Partial Order in Environmental Sciences and ChemistrySpringer | 2006 | ISBN: 354033968X | Pages: 406 | PDF | 3.34 MBThe environmental and chemical sciences are ever more reliant on computers. This dependence needs formalization, and the theory of algebraic relations is one possibility. Under algebraic…
Grand Challenges in Environmental Sciences (Repost)
Grand Challenges in Environmental Sciences
National Academies Press | ISBN 0309072549 | January 2001 | 96 Pages | PDF | 2 mb
Report of the National Science Foundation and the National Research Council addressing the question of which scientific challenges related to the environment have the greatest potential for investment. The recommendations…
Laser Scanning for the Environmental Sciences
Laser Scanning for the Environmental Sciences By George Heritage, Martin Charlton, Andy Large
Publisher: Wiley-Blackwell | ISBN: 1405157178 | edition 2009 | PDF | 288 pages | 11,3 mb
This book collates a series of invited peer reviewed papers presented at the conference on geoinformatics and LIDAR held at the National…
Principles of Environmental Sciences by Jan J. Boersema Lucas Reijnders
Principles of Environmental Sciences by Jan J. Boersema Lucas Reijnders
Publisher: Springer | December 3, 2008 | ISBN: 1402091575 | Pages: 538 | PDF | 11.27 MB
International experts provide a comprehensive picture of the principles, concepts and methods that are applicable to problems originating from the interaction between the living/non-living environment…
Bioinformatics: Applications in Life and Environmental Sciences
Bioinformatics: Applications in Life and Environmental Sciences
Springer | ISBN:1402088795 | February 27, 2009 | PDF | 246 pages | 19.3 MB | PDF | Rapidshare & Megaupload
Bioinformatics, computational biology, is a relatively new field that applies computer science and information technology to biology. In recent years, the discipline of…
Hierarchical Modelling for the Environmental Sciences: Statistical Methods and A
James S. Clark - Hierarchical Modelling for the Environmental Sciences: Statistical Methods and Applications
Pages:216 | PDF | Oxford Univ Pr (29. Juni 2006) | ISBN 0198569661 | 6.5 MB
'...if you are already quite well acquainted with Bayesian concepts and terminology then this book should provide an excellent guide to…
Neutron Applications in Earth, Energy and Environmental Sciences
Liyuan Liang, Romano Rinaldi, Helmut Schober "Neutron Applications in Earth, Energy and Environmental Sciences"
Springer | 2008-11-21 | ISBN: 0387094156 | 670 pages | PDF | 16,9 MB
Neutron Applications in Earth, Energy and Environmental Sciences offers a comprehensive overview of the wide ranging applications of neutron scattering techniques to elucidate…
Light Scattering Reviews 2 (Springer Praxis Books / Environmental Sciences)
Light Scattering Reviews 2 (Springer Praxis Books / Environmental Sciences)
Springer | 352 Pages | 2007-03-12 | ISBN: 3540309322 | PDF | 5.4 Mb
“This book is to continue the "Light Scattering Reviews" series devoted to modern knowledge and milestones in both experimental and theoretical techniques related to light scattering and…
Artificial Intelligence Methods in the Environmental Sciences
Artificial Intelligence Methods in the Environmental Sciences
Product Description
How can environmental scientists and engineers use the increasing amount of available data to enhance our understanding of planet Earth, its systems and processes? This book describes various potential approaches based on artificial intelligence (AI) techniques, including neural networks, decision trees, genetic algorithms…