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Ecological Forecasting
Buch von Michael Dietze
Sprache: Englisch

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"We'd all be better off if we could forecast the future state of complex systems such as the weather, our health, and the stock market. Dietze shows us how to approach forecasting using models based on large datasets and how to make the results easy to digest. This book is certain to be a benchmark in the science of ecological forecasting for decades to come."--William H. Schlesinger, president emeritus of the Cary Institute of Ecosystem Studies

"Using clear and elegant language, Dietze describes the statistical, informatics, and model-data fusion techniques necessary for forecasting--techniques that move the science of ecology beyond case studies and static models. Quantifying uncertainty, variability, and especially complexity will make ecology the predictive science it must become to solve critical environmental problems."--Jill Baron, United States Geological Survey

"For ecology to become a more predictive science, Dietze asserts ecologists must more effectively link statistics, modeling, and informatics with their data gathering efforts. His book provides both the conceptual and technical basis for doing just that. It is remarkable for its clarity, accessibility, and interdisciplinary breadth."--Norm Christensen, coauthor of The Environment and You

"As the world enters an era of change in which the past is a limited guide to the future, one great challenge is predicting how ecosystems will behave in situations for which there is no analog. While many scientists have recognized this problem, Dietze has done something about it, and mobilized a set of concepts and tools to draw on. He synthesizes a wide range of information and makes some genuinely difficult material accessible. This book really has no competitors."--David Schimel, author of Climate and Ecosystems

"Dietze's subject is a really important one, and his focus on forecasting and its implementation is novel."--Alan Hastings, University of California, Davis

"We'd all be better off if we could forecast the future state of complex systems such as the weather, our health, and the stock market. Dietze shows us how to approach forecasting using models based on large datasets and how to make the results easy to digest. This book is certain to be a benchmark in the science of ecological forecasting for decades to come."--William H. Schlesinger, president emeritus of the Cary Institute of Ecosystem Studies

"Using clear and elegant language, Dietze describes the statistical, informatics, and model-data fusion techniques necessary for forecasting--techniques that move the science of ecology beyond case studies and static models. Quantifying uncertainty, variability, and especially complexity will make ecology the predictive science it must become to solve critical environmental problems."--Jill Baron, United States Geological Survey

"For ecology to become a more predictive science, Dietze asserts ecologists must more effectively link statistics, modeling, and informatics with their data gathering efforts. His book provides both the conceptual and technical basis for doing just that. It is remarkable for its clarity, accessibility, and interdisciplinary breadth."--Norm Christensen, coauthor of The Environment and You

"As the world enters an era of change in which the past is a limited guide to the future, one great challenge is predicting how ecosystems will behave in situations for which there is no analog. While many scientists have recognized this problem, Dietze has done something about it, and mobilized a set of concepts and tools to draw on. He synthesizes a wide range of information and makes some genuinely difficult material accessible. This book really has no competitors."--David Schimel, author of Climate and Ecosystems

"Dietze's subject is a really important one, and his focus on forecasting and its implementation is novel."--Alan Hastings, University of California, Davis

Über den Autor
Michael C. Dietze is associate professor in the Department of Earth and Environment at Boston University.
Details
Erscheinungsjahr: 2017
Fachbereich: Ökologie
Genre: Biologie, Importe
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: Gebunden
ISBN-13: 9780691160573
ISBN-10: 0691160570
Sprache: Englisch
Einband: Gebunden
Autor: Dietze, Michael
Hersteller: Princeton University Press
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 261 x 182 x 25 mm
Von/Mit: Michael Dietze
Erscheinungsdatum: 30.05.2017
Gewicht: 0,775 kg
Artikel-ID: 132521739
Über den Autor
Michael C. Dietze is associate professor in the Department of Earth and Environment at Boston University.
Details
Erscheinungsjahr: 2017
Fachbereich: Ökologie
Genre: Biologie, Importe
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: Gebunden
ISBN-13: 9780691160573
ISBN-10: 0691160570
Sprache: Englisch
Einband: Gebunden
Autor: Dietze, Michael
Hersteller: Princeton University Press
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 261 x 182 x 25 mm
Von/Mit: Michael Dietze
Erscheinungsdatum: 30.05.2017
Gewicht: 0,775 kg
Artikel-ID: 132521739
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