pi.est: estimation of the inertia parameter pi for measuring the...

In Linda: Line Transect-Based Nearest Neighbor Distance Analysis

estimation of the inertia parameter pi for measuring the degree of non-independence of any two adjacent individuals along a line transect

Description

estimation of the inertia parameter pi, more details can be referred to Chen et al. (2023). This parameter has been closely related to Moran's I index, more details can be referred to Chen and Shen (2020).

Usage

pi.est(z)

Arguments

z	z is a vector of species labels for sequentially sampled individuals when walking across a line transect

Details

suppose we collect five individuals of three species along a line transect in sequential oder as "ABCAA", then the vector z=c("A","B","C","A","A")

Value

the estimation of the inertia parameter is returned, and this value is bounded between 0 and 1.

Note

in empirical data provided by the users themselves, because we assume individuals have been recorded in the vector z in a sequential order, so the original dataset z do not need to be sorted and just be used as input directly.

Author(s)

Tsung-Jen Shen

References

Chen et al. (2023) Biodiversity survey and estimation for line-transect sampling. Frontiers in Plant Science, 14: 1159090. Chen and Shen (2020) Unifying conspecific-encounter index v and Morans' I index. Ecography, 43, 1902-1904.

See Also

NND LNND v.est

Examples

z=sample(1:5,100,replace=TRUE)
pi.est(z)

Linda documentation built on July 4, 2026, 9:07 a.m.