R: Vertical Complexity Index

VCI {lidR} | R Documentation

## 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

    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)

[Package lidR version 3.2.2 Index]