Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Sign In to gain access to subscriptions and/or personal tools.
Progress in Physical Geography
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Kent, M.
Right arrow Articles by Weaver, R.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Geostatistics, spatial rate of change analysis and boundary detection in plant ecology and biogeography

Martin Kent

School of Geography, University of Plymouth, Drake Circus, Plymouth, Devon PL4 8AA, UK, m.kent{at}plymouth.ac.uk

Rana A. Moyeed

School of Mathematics and Statistics, University of Plymouth, Drake Circus, Plymouth, Devon PL4 8AA, UK

Catherine L. Reid

School of Geography, University of Plymouth, Drake Circus, Plymouth, Devon PL4 8AA, UK

Robin Pakeman

Macaulay Land Use Research Institute, Craigiebuckler, Aberdeen AB15 8QH, UK

Ruth Weaver

School of Geography, University of Plymouth, Drake Circus, Plymouth, Devon PL4 8AA, UK

Over the past decade, biologists and ecologists rather than geographers have been primarily responsible for developments in spatial analysis and geostatistics that are of great potential importance to both biogeography and community/landscape ecology. These advances in geostatistics, rate of change analysis and boundary detection and their application to floristic and environmental data at the community scale are reviewed. Issues of scale, spatial autocorrelation and terminology are introduced. Approaches to the description of spatial pattern in plant assemblages and environmental data, the quantification and removal of spatial autocorrelation, the spatial interpolation of data, techniques for the description and analysis of spatial rate of change and finally boundary detection are all reviewed in turn. Despite the development of new methods, the extent to which they have been applied more widely within both plant ecology and biogeography is limited. The paper concludes that perhaps the time is right for biogeographers to reassess the potential significance of these areas for the subject.

Key Words: dissimograms • kriging • plant assemblages and plant communities • spatial analysis and interpolation • spatial autocorrelation • spatially constrained clustering • wombling

Progress in Physical Geography, Vol. 30, No. 2, 201-231 (2006)
DOI: 10.1191/0309133306pp477ra
Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
 Progress in Physical GeographyHome page
M. Kent
Numerical classification and ordination methods in biogeography
Progress in Physical Geography, July 1, 2006; 30(3): 399 - 408.
[PDF]