A method to detect subcommunities from multivariate spatial associations-Reference-Cited by-同舟云学术

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A method to detect subcommunities from multivariate spatial associations

Published:2014-11 Issue:11 Volume:5 Page:1214-1224
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Flügge Anton J.¹²³,Olhede Sofia C.²⁴,Murrell David J.¹²³

Affiliation:

1. Department of Genetics, Evolution and Environment; University College London; Gower Street London WC1E 6BT UK

2. Centre for Mathematics and Physics in the Life Sciences and Experimental Biology; University College London; London UK

3. Centre for Biodiversity and Environment Research; University College London; Gower Street London WC1E 6BT UK

4. Department of Statistical Science; University College London; Gower Street London WC1E 6BT UK

Publisher

Wiley

Subject

Ecological Modelling,Ecology, Evolution, Behavior and Systematics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/2041-210X.12295/fullpdf

Reference55 articles.

1. Spatial patterns reveal negative density dependence and habitat associations in tropical trees;Bagchi;Ecology,2011

2. Soil resources and topography shape local tree community structure in tropical forests;Baldeck;Proceedings of the Royal Society B: Biological Sciences,2013

3. Impacts of climate change on the future of biodiversity;Bellard;Ecology Letters,2012

4. All-scale spatial analysis of ecological data by means of principal coordinates of neighbour matrices;Borcard;Ecological Modelling,2002

5. Kernel density estimation via diffusion;Botev;Annals of Statistics,2010

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