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Spatial Analysis: A Guide For Ecologists
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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“In philosophy (Rietveld & Brouwers 2017), psychology (Gibson 1979), ecology (Dale & Fortin 2014), and urban planning (Batty 2008), geometrical features of the environment have been shown to shape dwellers' behavior at multiple spatial and temporal scales”
From Paths to Diversity: A Simulation of Conformity in Environments with Different Geometries (2025) · cites this paper as Dale & Fortin 2014
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Understanding and monitoring the consequences of human impacts on intraspecific variation
Mimura, M., Yahara, T., Faith, D. P., Vázquez‐Domínguez, E., Colautti, R. I., Araki, H., Javadi, F., Núñez‐Farfán, J., Mori, A., Zhou, S., et al. (2016) · Evolutionary Applications · doi:10.1111/eva.12436 · Cited by 257
Vancine, M. H., Muylaert, R. L., Niebuhr, B. B., Oshima, J. E. D. F., Tonetti, V. R., Bernardo, R., Angelo, C. D., Rosa, M. R., Grohmann, C. H., & Ribeiro, M. C. (2024) · Biological Conservation · doi:10.1016/j.biocon.2024.110499 · Cited by 255
Are urban systems beneficial, detrimental, or indifferent for biological invasion?
Cadotte, M. W., Yasui, S. E., Livingstone, S. W., & MacIvor, J. S. (2017) · Biological Invasions · doi:10.1007/s10530-017-1586-y · Cited by 236
Metadata
- Authors
- Dale, M. R. T., & Fortin, M.-J.
- Affiliations
- University of Northern British Columbia (CA)
- University of Toronto (CA)
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2014-09-05
- 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
- 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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