|Publisher:||Springer; 2nd edition (March 16, 2006)|
|Category:||Technologies and Computers|
|Other formats:||docx lit docx doc|
The nature of the journal is interdisciplinary at the crossover between ecology and informatics.
Ecological Informatics. Scope, Techniques and Applications. Current scope, case studies and future directions of ecologcial informatics.
Book Publications: Recknagel, F. and W. Michener (ed., 2018. Ecological Informatics. Data management and knowledge discovery. Springer International, 1-482. and F. Recknagel, 2009. Journal of Environmental Informatics 21, 1, 1-9. Recknagel, . Ostrovsky, . Cao, . Zohary, T. and X. Zhang, 2013. Understanding ecology by d computation. ANNA–Artificial Neural Network model for predicting species abundance and succession of blue-green algae. Hydrobiologia 349 (1-3), 47-57, 1997.
Ecological Informatics, Friedrich Recknagel. Варианты приобретения. Описание: Ecological Informatics is defined as the design and application of computational techniques for ecological analysis, synthesis, forecasting and management
Ecological Informatics, Friedrich Recknagel. Описание: Ecological Informatics is defined as the design and application of computational techniques for ecological analysis, synthesis, forecasting and management. The book provides an introduction to the scope, concepts and techniques of this newly emerging discipline. It illustrates numerous applications of Ecological Informatics for stream systems, river systems, freshwater lakes and marine systems as well as image recognition at micro and macro scale.
Biodiversity informatics, the application of informatics techniques to biodiversity data, is rooted in physical objects and nomenclatural codes. Through two user stories, one from wildlife conservation and another from agriculture, we demonstrate the importance and process of biodiversity informatics.
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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.