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Chapman & Hall/CRC Applied Environmental Statistics


About the Series

Statistical methods play an increasingly important role in the study of issues pertaining to the environment. As scientists gain access to larger and more complex datasets, the need for a solid understanding of statistics becomes more pressing. This series aims to capture new developments in statistical methodology with particular relevance to applications in the environmental sciences. It seeks to promote appropriate use of statistical methods in these sciences by publishing a broad range of reference works, textbooks and handbooks.

The scope of the series includes applications of statistical methodology to the study of climate change, atmospheric science, air and water pollution, natural resources, forestry, environmental health and ecology. The titles included in the series are designed to appeal to applied statisticians, as well as students, researchers and practitioners from the above disciplines. The inclusion of real examples and case studies is therefore essential.

17 Series Titles

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Spatial Linear Models for Environmental Data

Spatial Linear Models for Environmental Data

1st Edition

Forthcoming

By Dale L. Zimmerman, Jay M. Ver Hoef
April 17, 2024

Many applied researchers equate spatial statistics with prediction or mapping, but this book naturally extends linear models, which includes regression and ANOVA as pillars of applied statistics, to achieve a more comprehensive treatment of the analysis of spatially autocorrelated data. Spatial ...

Spatio-Temporal Models for Ecologists

Spatio-Temporal Models for Ecologists

1st Edition

By James Thorson, Kasper Kristensen
February 27, 2024

Ecological dynamics are tremendously complicated and are studied at a variety of spatial and temporal scales. Ecologists often simplify analysis by describing changes in density of individuals across a landscape, and statistical methods are advancing rapidly for studying spatio-temporal dynamics. ...

Evaluating Climate Change Impacts

Evaluating Climate Change Impacts

1st Edition

Edited By Vyacheslav Lyubchich, Yulia Gel, K. Halimeda Kilbourne, Thomas James Miller, Nathaniel K. Newlands, A. Smith
September 25, 2023

Evaluating Climate Change Impacts discusses assessing and quantifying climate change and its impacts from a multi-faceted perspective of ecosystem, social, and infrastructure resilience, given through a lens of statistics and data science. It provides a multi-disciplinary view on the implications ...

Bayesian Applications in Environmental and Ecological Studies with R and Stan

Bayesian Applications in Environmental and Ecological Studies with R and Stan

1st Edition

By Song S. Qian, Mark R. DuFour, Ibrahim Alameddine
August 29, 2022

Modern ecological and environmental sciences are dominated by observational data. As a result, traditional statistical training often leaves scientists ill-prepared for the data analysis tasks they encounter in their work. Bayesian methods provide a more robust and flexible tool for data analysis, ...

Biometry for Forestry and Environmental Data With Examples in R

Biometry for Forestry and Environmental Data: With Examples in R

1st Edition

By Lauri Mehtätalo, Juha Lappi
April 29, 2022

Biometry for Forestry and Environmental Data with Examples in R focuses on statistical methods that are widely applicable in forestry and environmental sciences, but it also includes material that is of wider interest. Features: ·         Describes the...

Sampling Techniques for Forest Inventories

Sampling Techniques for Forest Inventories

1st Edition

By Daniel Mandallaz
September 19, 2019

Sound forest management planning requires cost-efficient approaches to optimally utilize given resources. Emphasizing the mathematical and statistical features of forest sampling to assess classical dendrometrical quantities, Sampling Techniques for Forest Inventories presents the statistical ...

Bringing Bayesian Models to Life

Bringing Bayesian Models to Life

1st Edition

By Mevin B. Hooten, Trevor Hefley
June 11, 2019

Bringing Bayesian Models to Life empowers the reader to extend, enhance, and implement statistical models for ecological and environmental data analysis. We open the black box and show the reader how to connect modern statistical models to computer algorithms. These algorithms allow the user to fit...

Statistical Geoinformatics for Human Environment Interface

Statistical Geoinformatics for Human Environment Interface

1st Edition

By Wayne L. Myers, Ganapati P. Patil
September 10, 2018

Statistical Geoinformatics for Human Environment Interface presents two paradigms for studying both space and interface with regard to human/environment: localization and multiple indicators. The first approach localizes thematic targets by treating space as a pattern of vicinities, with the ...

Statistical Methods for Field and Laboratory Studies in Behavioral Ecology

Statistical Methods for Field and Laboratory Studies in Behavioral Ecology

1st Edition

By Scott Pardo, Michael Pardo
March 09, 2018

Statistical Methods for Field and Laboratory Studies in Behavioral Ecology focuses on how statistical methods may be used to make sense of behavioral ecology and other data. It presents fundamental concepts in statistical inference and intermediate topics such as multiple least squares regression ...

Environmental and Ecological Statistics with R

Environmental and Ecological Statistics with R

2nd Edition

By Song S. Qian
November 07, 2016

Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R, Second Edition, connects applied statistics to the environmental and ecological fields. Using examples from published works in the ecological and environmental literature, the book explains the...

Future Sustainable Ecosystems Complexity, Risk, and Uncertainty

Future Sustainable Ecosystems: Complexity, Risk, and Uncertainty

1st Edition

By Nathaniel K Newlands
August 23, 2016

Future Sustainable Ecosystems: Complexity, Risk, Uncertainty provides an interdisciplinary, integrative overview of environmental problem-solving using statistics. It shows how statistics can be used to solve diverse environmental and socio-economic problems involving food, water, energy scarcity, ...

Introduction to Ecological Sampling

Introduction to Ecological Sampling

1st Edition

Edited By Bryan F.J. Manly, Jorge A. Navarro Alberto
October 20, 2014

An Easy-to-Understand Treatment of Ecological Sampling Methods and Data Analysis Including only the necessary mathematical derivations, Introduction to Ecological Sampling shows how to use sampling procedures for ecological and environmental studies. It incorporates both traditional sampling ...

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