NDLI: Indexing of spatial patterns of trees using a mean of angles

Content Provider	Springer Nature Link
Author	Trifković, Stanko Yamamoto, Hirokazu
Copyright Year	2007
Abstract	The assessment of information relating to the spatial patterns of individual trees is becoming an increasingly important aspect of forest research and practical forestry. Numerous methods have been proposed over the years, with foresters preferring rapid methods able to provide statistically confident information. The Mean of Angles is one of the simplest of these methods. It is applicable for revealing complete spatial randomness (CSR) or the presence of clustering or regularity. We have tested the potential of the arithmetic mean of angles to serve as a practical measure of the degree of regularity or clustering. This study was conducted by applying random point sampling in various simulated theoretical point populations. The Mean of Angles method deserves consideration as a practical option for examining the spatial patterns of trees in forests. We suggest that the arithmetic mean of angles cannot be completely relied upon for indexing spatial patterns, but this deficiency can be overcome by examining the frequency distributions of angular measurements.
Starting Page	117
Ending Page	121
Page Count	5
File Format	PDF
ISSN	13416979
Journal	Journal of Forest Research
Volume Number	13
Issue Number	2
e-ISSN	16107403
Language	English
Publisher	Springer Japan
Publisher Date	2007-12-19
Publisher Place	Japan
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Cartesian coordinate system Mean of Angles Point population Spatial patterns Plant Ecology Plant Sciences Tree Biology Forestry Management Forestry
Content Type	Text
Resource Type	Article
Subject	Forestry

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