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Spatial Analysis: A Guide for Ecologists
Abstract
The spatial and temporal dimensions of ecological phenomena have always been inherent in the conceptual framework of ecology, but only recently have they been incorporated explicitly into ecological theory, sampling design, experimental design and models. Statistical techniques for spatial analysis of ecological data are burgeoning and many ecologists are unfamiliar with what is available and how the techniques should be used correctly. This book gives an overview of the wide range of spatial statistics available to analyse ecological data, and provides advice and guidance for graduate students and practising researchers who are either about to embark on spatial analysis in ecological studies or who have started but are unsure how to proceed. Only a basic understanding of statistics is assumed and many schematic illustrations are given to complement or replace mathematical technicalities, making the book accessible to ecologists wishing to enter this important and fast-growing field for the first time.
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Delaunay triangulation produces a sparse initial model by reducing links to only those corresponding geometrically with the edges of a minimal triangulation.
“Delaunay triangulation produces a sparse initial model (Fig. 5) by reducing the links to only those that correspond geometrically with the edges of a minimal triangulation”
From Exploratory network reconstruction with sparse archaeological data and XTENT (2022) · cites this paper as Fortin and Dale, 2005
The Gabriel Graph minimises the spatial density of connected nodes and produces even sparser results than a Delaunay triangulation.
“The Gabriel Graph is a model that minimises the spatial density of connected nodes.It does not require any parameters and produces even sparser results than a Delaunay triangulation.”
From Exploratory network reconstruction with sparse archaeological data and XTENT (2022) · cites this paper as Fortin and Dale, 2005
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Hurlbert, S. H. (1984) · Ecological Monographs · doi:10.2307/1942661 · Cited by 8,377
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Friedman, M. (1937) · Journal of the American Statistical Association · doi:10.1080/01621459.1937.10503522 · Cited by 7,005
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Metadata
- Authors
- Fortin, M.-J., & Dale, M. R. T.
- Publisher
- Cambridge University Press
- Published
- 2005-04-21
- Cited by
- 991
- References
- 3
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