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.
Evaluating Climate Change Impacts
Sampling Techniques for Forest Inventories
Bringing Bayesian Models to Life
Environmental and Ecological Statistics with R
Introduction to Ecological Sampling
By James Thorson, Kasper Kristensen
February 22, 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....
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 ...
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, ...
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...
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 ...
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...
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 ...
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 ...
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...
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, ...
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 ...
By Thorsten Wiegand, Kirk A. Moloney
December 20, 2013
Understand How to Analyze and Interpret Information in Ecological Point Patterns Although numerous statistical methods for analyzing spatial point patterns have been available for several decades, they haven’t been extensively applied in an ecological context. Addressing this gap, Handbook of ...