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ENGLISH

Statistics For Environmental Science And Management

by Bryan F. J. Manly

125,86€ + 10% CARD

 Suitable for graduate courses and a reference for appropriate statistical approaches to specific environmental problems, this title begins by describing the important role statistics play in environmental science. It then focuses on how to collect data, highlighting the importance of sampling and experimental design in conducting rigorous science.
ENGLISH

Sampling Strategies For Natural Resources And The Environment

by Harry T. Valentine e Timothy G. Gregoire

66,24€ + 10% CARD

 Covers the sampling techniques used in ecology, forestry, environmental science, and natural resources. This book presents methods to estimate aggregate characteristics on a per unit area basis as well as on an elemental basis. It explores more specialized designs for sampling vegetation, including randomized branch sampling and 3P sampling.
A Bayesian Introduction To Fish Population Analysis

by Joseph E. (Nc State University, U.S.A) Hightower

~~140,58€~~ 98,41€ 30% OFF

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 A Bayesian Introduction to Fish Population Analysis is aimed at advanced undergraduate and graduate students as well as working professionals interested in a hands-on introduction to Bayesian approaches for fitting fisheries models.
ENGLISH

Statistical Geoinformatics For Human Environment Interface

by Ganapati P. Patil e Wayne L. Myers

90,09€ + 10% CARD

 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 pattern being a square grid and the placement of viciniti
ENGLISH

Statistical Tools For Environmental Quality Measurement

by Douglas E. Splitstone e Michael E. Ginevan

64,91€ + 10% CARD

 This book provides a detailed review of statistical tools used in analyzing and addressing environmental issues. It examines commonly used techniques found in USEPA guidelines and discusses their potential impact on decision-making.
ENGLISH

Introduction To Hierarchical Bayesian Modeling For Ecological Data

by Eric Parent e Etienne Rivot

67,56€ + 10% CARD

 Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian Modeling for Ecological Data gives readers a flexible and effective framework to learn about complex ecological processes from various sources of data. It also helps readers get started on building their own statisti
ENGLISH

Sampling Techniques For Forest Inventories

by Daniel Mandallaz

90,09€ + 10% CARD

 Presents the concepts and tools required in finite populations, and develops the Monte Carlo approach in infinite populations to analyze or design complex forest inventories. This book discusses design-based, model-assisted, and model-dependent inference as well as the design of optimal sampling schemes based on the anticipated variance.
ENGLISH

Handbook Of Spatial Point-Pattern Analysis In Ecology

by Kirk A. Moloney e Thorsten Wiegand

70,21€ + 10% CARD

 This handbook shows how the techniques of point-pattern analysis are useful for tackling ecological problems. Within an ecological framework, it guides readers through a variety of methods for different data types and aids in the interpretation of the results obtained by point-pattern analysis. Along with the techniques, the book provides a comprehensive selection of real-world examples. Most of the examples are analyzed using the authors'' software package Programita. The software and a manual are available online.
ENGLISH

Introduction To Ecological Sampling

63,59€ + 10% CARD

 This book shows how to use sampling procedures for ecological and environmental studies. It incorporates both traditional sampling methods and recent developments in environmental and ecological sampling methods, including mark-recapture, adaptive, and removal sampling. The book explains the methods as simply as possible, keeping equations and their derivations to a minimum. Accessible to biologists, the text only assumes a basic knowledge of statistical methods. Data sets and R code are available on a supplementary website.
ENGLISH

Spatial Linear Models For Environmental Data

by Dale L. Zimmerman e Jay M. Ver Hoef

~~115,26€~~ 103,73€ 10% OFF

 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.
ENGLISH

Spatio-Temporal Models For Ecologists

by James Thorson e Kasper Kristensen

~~120,56€~~ 108,50€ 10% OFF

 This book introduces a minimal set of principles and numerical techniques for spatio-temporal statistics that can be used to implement a wide range of real-world ecological analyses regarding animal movement, population dynamics, community composition, causal attribution, and spatial dynamics.
ENGLISH

Spatio-Temporal Models For Ecologists

by James Thorson e Kasper Kristensen

~~140,58€~~ 98,41€ 30% OFF

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 This book introduces a minimal set of principles and numerical techniques for spatio-temporal statistics that can be used to implement a wide range of real-world ecological analyses regarding animal movement, population dynamics, community composition, causal attribution, and spatial dynamics.
ENGLISH

Bayesian Applications In Environmental And Ecological Studies With R And Stan

by Ibrahim Alameddine, Mark R. Dufour e Song S. Qian

64,91€ + 10% CARD

 The book is primarily aimed at graduate students and researchers in the environmental and ecological sciences, as well as environmental management professionals. This is a group of people representing diverse subject matter fields, which could benefit from the potential power and flexibility of Bayesian methods.
ENGLISH

Biometry For Forestry And Environmental Data - With Examples In R

by Juha (The Finnish Forest Research Institute, Suonenjoki, Finland) Lappi e Lauri Mehtatalo

~~70,29€~~ 49,20€ 30% OFF

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 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.
ENGLISH

Bringing Bayesian Models To Life

by Mevin B. Hooten e Trevor Hefley

~~72,99€~~ 51,09€ 30% OFF

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 This book presents details and algorithms for fully Bayesian computation, primarily for students and practitioners in the ecological and environmental sciences. It empowers the reader to extend and enhance statistical models for such data without software limitations.
ENGLISH

Environmental And Ecological Statistics With R

by Song S. Qian

~~64,88€~~ 45,42€ 30% OFF

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 Environmental and Ecological Statistics with R, Second Edition focuses on statistical modeling and data analysis for environmental and ecological problems. By guiding readers through the process of scientific problem solving and statistical model development, it eases the transition from scientific hypothesis to statistical mode
ENGLISH

Handbook Of Spatial Point-Pattern Analysis In Ecology

by Kirk A. Moloney e Thorsten Wiegand

~~71,64€~~ 50,15€ 30% OFF

free shipping

 This handbook shows how the techniques of point-pattern analysis are useful for tackling ecological problems. Within an ecological framework, it guides readers through a variety of methods for different data types and aids in the interpretation of the results obtained by point-pattern analysis. Along with the techniques, the book provides a comp
ENGLISH

Evaluating Climate Change Impacts

80,81€ + 10% CARD

 Presents the topic of assessing and quantifying the climate change and its impacts from a multi-faceted perspective of ecosystem, human health, and social and infrastructure resilience, given through a lens of statistical and data sciences.
ENGLISH

Biometry For Forestry And Environmental Data - With Examples In R

by Juha Lappi e Lauri Mehtatalo

68,89€ + 10% CARD

 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.
ENGLISH

Bringing Bayesian Models To Life

by Mevin B. Hooten e Trevor Hefley

67,56€ + 10% CARD

 This book presents details and algorithms for fully Bayesian computation, primarily for students and practitioners in the ecological and environmental sciences. It empowers the reader to extend and enhance statistical models for such data without software limitations.
ENGLISH

Biometry For Forestry And Environmental Data - With Examples In R

by Juha (The Finnish Forest Research Institute, Suonenjoki, Finland) Lappi e Lauri Mehtatalo

~~189,26€~~ 132,48€ 30% OFF

free shipping

 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.
ENGLISH

Bringing Bayesian Models To Life

by Mevin B. Hooten e Trevor Hefley

~~113,55€~~ 79,49€ 30% OFF

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 This book presents details and algorithms for fully Bayesian computation, primarily for students and practitioners in the ecological and environmental sciences. It empowers the reader to extend and enhance statistical models for such data without software limitations.
ENGLISH

Statistical Methods For Field And Laboratory Studies In Behavioral Ecology

by Michael Pardo e Scott Pardo

68,89€ + 10% CARD

 Statistical methods are ubiquitous in behavioural ecology research. This text will provide some elementary material, with enough theory so that the reader will be able to understand the uses, advantages, and limitations of those methods as they apply to studying animal behaviour in the wild.
ENGLISH

Future Sustainable Ecosystems - Complexity, Risk, And Uncertainty

by Nathaniel K Newlands

68,89€ + 10% CARD

 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, and climate change risks.
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