Machine Learning Methods for Ecological Applications, Alan H. Fielding
Автор: Willig Michael R., Walker Lawrence R. Название: Long-Term Ecological Research: Changing the Nature of Scientists ISBN: 019938021X ISBN-13(EAN): 9780199380213 Издательство: Oxford Academ Рейтинг: Цена: 13939.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Long-Term Ecological Research (LTER) Program is, in a sense, an experiment to transform the nature of science, and represents one of the most effective mechanisms for catalyzing comprehensive site-based research that is collaborative, multidisciplinary, and long-term in nature. The scientific contributions of the Program are prodigious, but the broader impacts of participation have not been examined in a formal way. This book captures the consequences of participation in the Program on the perspectives, attitudes, and practices of environmental scientists. The edited volume comprises three sections. The first section includes two chapters that provide an overview of the history, goals, mission, and inner workings of the LTER network of sites. The second section comprises three dozen retrospective essays by scientists, data managers or educators who represent a broad spectrum of LTER sites from deserts to tropical forests and from arctic to marine ecosystems. Each essay addresses the same series of probing questions to uncover the extent to which participation has affected the ways that scientists conduct research, educate students, or provide outreach to the public. The final section encompasses 5 chapters, whose authors are biophysical scientists, historians, behavioral scientists, or social scientists. This section analyzes, integrates, or synthesizes the content of the previous chapters from multiple perspectives and uncovers emergent themes and future directions.
Описание: Presents 20 years of work at the North Temperate Lakes Long-Term Research Site. This site-synthesis volume provides the information base for the ecology of temperate lakes, and a general assessment of the role of lakes within their landscapes. It is of interest to American limonologists and general ecologists.
Автор: Alan H. Fielding Название: Machine Learning Methods for Ecological Applications ISBN: 1461374138 ISBN-13(EAN): 9781461374138 Издательство: Springer Рейтинг: Цена: 22203.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first text aimed at introducing machine learning methods to a readership of professional ecologists. All but one of the chapters have been written by ecologists and biologists who highlight the application of a particular method to a particular class of problem.
Описание: There is a growing consensus in the human factors/ergonomics community that human factors research has had little impact on significant applied problems
Автор: O`Sullivan Название: Learning Toward an Ecological Consciousness ISBN: 1403963053 ISBN-13(EAN): 9781403963055 Издательство: Springer Рейтинг: Цена: 5589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In their latest book, Edmund O`Sullivan and Marilyn Taylor highlight the pedagogical practices that foster transformation from our current way of thinking about our place in the world to an underlying ecological way of seeing and acting.
Описание: The monitoring of benthic diatoms, macrophytes, macroinvertebrates and fish will be the backbone of future water management in Europe. The 36 articles presented will provide scientists and water managers with a unique insight into background and application of state-of-the-art monitoring tools and techniques.
Автор: T.R. Southwood Название: Ecological Methods ISBN: 0412307103 ISBN-13(EAN): 9780412307102 Издательство: Springer Рейтинг: Цена: 16979.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 1.1 Population estimates Population estimates can be classified into a number of different types; Such estimates are given by nearest neighbour and related techniques (Chapter 2), marking and recapture (Chapter 3), by sampling a known fraction of the habitat (Chapter 4-6) and by removal sampling and random walk techniques (Chapter 7).
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