Cited by 261Spatial and Panel Data AnalysisPoint processes and geometric inequalitiesEcology and Vegetation Dynamics Studies

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Spatial Analysis: A Guide For Ecologists

Dale, Mark R. T., Fortin, Marie-Josée·2014·Cambridge University Press eBooks

DOI 10.1017/cbo9780511978913

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Abstract

Nowadays, ecologists worldwide recognize the use of spatial analysis as essential. However, because of the fast-growing range of methods available, even an expert might occasionally find it challenging to choose the most appropriate one. Providing the ecological and statistical foundations needed to make the right decision, this second edition builds and expands upon the previous one by: • Encompassing the basic methods for spatial analysis, for both complete census and sample data • Investigating updated treatments of spatial autocorrelation and spatio-temporal analysis • Introducing detailed explanations of currently developing approaches, including spatial and spatio-temporal graph theory, scan statistics, fibre process analysis, and Hierarchical Bayesian analysis • Offering practical advice for specific circumstances, such as how to analyze forest Permanent Sample Plot data and how to proceed with transect data when portions of the data series are missing. Written for graduates, researchers and professionals, this book will be a valuable source of reference for years to come.

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Authors: Dale, M. R. T., & Fortin, M.-J.
Affiliations: University of Northern British Columbia (CA)
University of Toronto (CA)
ORCID: Dale, Mark R. T.
Fortin, Marie-Josée
Venue: Cambridge University Press eBooks
Publisher: Cambridge University Press
Published: 2014-09-05
DOI: 10.1017/cbo9780511978913
OpenAlex: W4253290451
Cited by: 237
References: 0
Citations by year: 2026: 20 · 2025: 26 · 2024: 20 · 2023: 15 · 2022: 27 · 2021: 16 · 2020: 26 · 2019: 24 · 2018: 23 · 2017: 15 · 2016: 21 · 2015: 4
FWCI: 17.29
Type: book
Language: en
Open access: closed
Licence: www.cambridge.org/core/terms (unspecified)
Locations: Cambridge University Press eBooks (publishedVersion)
Topics: Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
Physical Sciences › Mathematics › Applied Mathematics › Point processes and geometric inequalities
Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
Keywords: spatial analysis, spatial autocorrelation, spatio-temporal analysis, scan statistics, Bayesian hierarchical model, missing data

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