Clarifications on local and global data analysis

Clarifications on local and global data analysis Jetz . (2004) have provided an interesting and thought provoking commentary on my earlier paper ( Foody, 2004 ). Although their standpoint and interpretation is quite reasonable their commentary does not fully reflect either my own viewpoint or the content and intention of my paper. I am therefore taking this opportunity to highlight a few key issues in the hope that this will help to clarify some important features of geographically weighted regression (GWR) and its use in ecology. My earlier paper explicitly set out to explore spatial nonstationarity in the relationship between species richness and a set of determinants (e.g. see the statements made in the ‘aim’ section of the abstract and at the end of the introductory section). The implications of spatial nonstationarity, with particular regard to scale dependency, were then discussed. In their commentary, Jetz et al . have focused mainly upon issues connected with the strength of the relationships indicated by the R 2 and some broad topics connected with the use of local and global statistical techniques. There are three points I would wish to stress in order to both emphasize the key thrusts made in my earlier paper and in response to http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Global Ecology and Biogeography Wiley

Clarifications on local and global data analysis

Global Ecology and Biogeography, Volume 14 (1) – Jan 1, 2005

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Publisher
Wiley
Copyright
Copyright © 2005 Wiley Subscription Services, Inc., A Wiley Company
ISSN
1466-822X
eISSN
1466-8238
DOI
10.1111/j.1466-822X.2005.00142.x
Publisher site
See Article on Publisher Site

Abstract

Jetz . (2004) have provided an interesting and thought provoking commentary on my earlier paper ( Foody, 2004 ). Although their standpoint and interpretation is quite reasonable their commentary does not fully reflect either my own viewpoint or the content and intention of my paper. I am therefore taking this opportunity to highlight a few key issues in the hope that this will help to clarify some important features of geographically weighted regression (GWR) and its use in ecology. My earlier paper explicitly set out to explore spatial nonstationarity in the relationship between species richness and a set of determinants (e.g. see the statements made in the ‘aim’ section of the abstract and at the end of the introductory section). The implications of spatial nonstationarity, with particular regard to scale dependency, were then discussed. In their commentary, Jetz et al . have focused mainly upon issues connected with the strength of the relationships indicated by the R 2 and some broad topics connected with the use of local and global statistical techniques. There are three points I would wish to stress in order to both emphasize the key thrusts made in my earlier paper and in response to

Journal

Global Ecology and BiogeographyWiley

Published: Jan 1, 2005

References

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