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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

Examples

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)
lidR

Airborne LiDAR Data Manipulation and Visualization for Forestry Applications

v3.1.2
GPL-3
Authors
Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] (Reviews the documentation), Florian De Boissieu [ctb] (Fixed bugs and improved catalog features), Andrew Sánchez Meador [ctb] (Implemented wing2015() for segment_snags()), Bourdon Jean-François [ctb] (Contributed to Roussel2020() for track_sensor()), Gatziolis Demetrios [ctb] (Implemented Gatziolis2019() for track_sensor())
Initial release
2021-03-11

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