lidR (version 2.0.0)

VCI: Vertical Complexity Index

Description

A fixed normalization of the entropy function (see references)

Usage

VCI(z, zmax, by = 1)

Arguments

z

vector of z coordinates

zmax

numeric. Used to turn the function entropy to the function vci.

by

numeric. The thickness of the layers used (height bin)

Value

A number between 0 and 1

References

van Ewijk, K. Y., Treitz, P. M., & Scott, N. A. (2011). Characterizing Forest Succession in Central Ontario using LAS-derived Indices. Photogrammetric Engineering and Remote Sensing, 77(3), 261-269. Retrieved from <Go to ISI>://WOS:000288052100009

See Also

entropy

Examples

Run this code
# NOT RUN {
z = runif(10000, 0, 10)

VCI(z, by = 1, zmax = 20)

z = abs(rnorm(10000, 10, 1))

# expected to be closer to 0.
VCI(z, by = 1, zmax = 20)
# }

Run the code above in your browser using DataCamp Workspace