Environmental Informatics (EAT447/3)

Ecological Informatics promotes interdisciplinary research between ecology and computer science on elucidation of principles of information processing in ecosystems, ecological sustainability by informed decision making, and bio-inspired computation. The 2nd edition of the book consolidates the scope, concepts, and techniques of this newly emerging discipline by a new preface and additional chapters on cellular automata, qualitative reasoning, hybrid evolutionary algorithms and artificial neural networks. It illustrates numerous applications of Ecological Informatics for aquatic and terrestrial ecosystems, image recognition at micro- and macro-scale as well as computer hardware design.Case studies focus on applications of artificial neural networks, evolutionary computation, cellular automata, adaptive agents, fuzzy logic as well as qualitative reasoning. The 2nd edition of the book includes an index with novel evolutionary algorithms for the discovery of multiple nonlinear functions and rule sets as well as parameter optimisation in complex ecological data.

As a companion to books on project-management theory, this book illustrates, in a down-to-earth, comprehensive style, how to put that theory into practice. In addition to the many examples that illustrate procedures, the book includes over 25 case studies, each one addressing a specific theme. Key topics, such as project selection, negotiations, planning and scheduling, cost and budgeting, project control, human resources, environmental impacts, risk management, and financial evaluation, are discussed, using a step-by-step approach. Beginning at the grassroots level, some cases are solved by hand to illustrate the mechanics of a procedure, while others are solved using advanced computer programs. In this way the reader has a clear idea of the problem, how and when to raise the issue, information needed (and who can provide it), how to solve it by hand, when possible, and also its resolution using the latest informatics tools.