(Q58069335)

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Revealing biogeographical patterns by nonlinear ordinations and derived anisotropic spatial filters

scholarly article by Miguel Mahecha & Sebastian Schmidtlein published March 2008 in Global Ecology and Biogeography

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Revealing biogeographical patterns by nonlinear ordinations and derived anisotropic spatial filters (English)

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Miguel D. Mahecha

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Sebastian Schmidtlein

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Sebastian Schmidtlein

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publication date

March 2008

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published in

Global Ecology and Biogeography

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volume

17

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issue

2

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page(s)

284-296

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A note on two problems in connexion with graphs

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https://api.crossref.org/works/10.1111%2FJ.1466-8238.2007.00368.X

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21 January 2018

Spatial modelling: a comprehensive framework for principal coordinate analysis of neighbour matrices (PCNM)

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21 January 2018

Spatial modeling in ecology: the flexibility of eigenfunction spatial analyses.

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21 January 2018

Reducing the dimensionality of data with neural networks

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21 January 2018

Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis

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21 January 2018

Relating geographical variation in pollination types to environmental and spatial factors using novel statistical methods.

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21 January 2018

Spatial Autocorrelation: Trouble or New Paradigm?

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21 January 2018

Nonlinear dimensionality reduction: Alternative ordination approaches for extracting and visualizing biodiversity patterns in tropical montane forest vegetation data

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21 January 2018

Illustrations and guidelines for selecting statistical methods for quantifying spatial pattern in ecological data

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21 January 2018

A global geometric framework for nonlinear dimensionality reduction

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21 January 2018

Stormwater drainage pipes as a threat to a stream-dwelling amphipod of conservation significance, Austrogammarus australis, in southeastern Australia

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Geographical gradients of species richness: a test of the water-energy conjecture of ) using European data for five taxa

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https://api.crossref.org/works/10.1111%2FJ.1466-8238.2007.00368.X

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21 January 2018

All-scale spatial analysis of ecological data by means of principal coordinates of neighbour matrices

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https://api.crossref.org/works/10.1111%2FJ.1466-8238.2007.00368.X

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21 January 2018

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10.1111/J.1466-8238.2007.00368.X

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(Q58069335)

Revealing biogeographical patterns by nonlinear ordinations and derived anisotropic spatial filters

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