Hostname: page-component-586b7cd67f-r5fsc Total loading time: 0 Render date: 2024-11-27T22:13:24.526Z Has data issue: false hasContentIssue false
  • English
  • Français

Detection of spatial pattern at several scales simultaneously

Published online by Cambridge University Press:  01 July 2016

Roger Mead
Roger Mead*
Affiliation:
University of Reading
Get access Rights & Permissions [Opens in a new window]

Extract

Detection of the different scales of pattern in plant communities is an important area of plant ecological research, and various tests of pattern have been devised. The method of pattern detection which is ecologically most meaningful is that due to Greig-Smith (1952) but, until now, this has suffered from the lack of valid tests of significance for the individual scales of pattern, once the overall departure from a random distribution has been established. Various tests which partially or completely overcome this deficiency are discussed and exemplified and their small sample distributional properties examined. It is concluded that a set of tests, based on randomisation arguments, provides a fully valid method of testing simultaneously for pattern at various scales.

Type
Spatial Pattern
Information
Advances in Applied Probability , Volume 7 , Issue 3 , September 1975 , pp. 449 - 450
Copyright
Copyright © Applied Probability Trust 1975 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Greig-Smith, P. (1952) The use of random and contiguous quadrats in the study of the structure of plant communities. Ann. Bot. N.S. 16, 293–316.Google Scholar
Mead, R. (1974) A test for spatial pattern at several scales using data from a grid of contiguous quadrats. Biometrics 30, 295–307.Google Scholar