crowding: A forest spatial structure index characterizing crowding...

Description Usage Arguments Value Author(s) References Examples

View source: R/crowding.R

Description

Analyze the crowding degree of a neighborhood unit according to the overlapping of the crown in spatial micro-environment which clearly define the crowding degree for a reference tree and its four nearest neighbors, and to some degree of the competition pressure on it as well.

Usage

1

Arguments

x

A vector composed by 5 crowding degree value

Value

Result will retrun five values,0,0.25,0.5,0.75,1,which means none, one, two, three, or four overlap of nearest neighbors with reference tree,respectively.

Author(s)

Zongzheng Chai, chaizz@126.com

References

Hu YB, Hui GY. 2015. How to describe the crowding degree of trees based on the relationship of neighboring trees. Journal of Beijing Forestry University. 37(9):1-8.

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
overlap1<-c(-0.5,-0.4,-0.3,-0.2) ##negative means no overlap
overlap2<-c(-0.5,-0.4,-0.3,0.2)  ##positive means overlap
overlap3<-c(-0.5,-0.4,0.3,0.2)
overlap4<-c(-0.5,0.4,0.3,0.2)
overlap5<-c(0.5,0.4,0.3,0.2)

crowding1<-crowding(overlap1)
crowding1
crowding2<-crowding(overlap2)
crowding2
crowding3<-crowding(overlap3)
crowding3
crowding4<-crowding(overlap4)
crowding4
crowding5<-crowding(overlap5)
crowding5

Example output

[1] 0
[1] 0.25
[1] 0.5
[1] 0.75
[1] 1

forestSAS documentation built on May 1, 2019, 10:15 p.m.