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gaussratiovegind

Description

It is well known that the distribution of a Gaussian ratio does not follow a Gaussian distribution. The lack of awareness among users of vegetation indices about this non-Gaussian nature could lead to incorrect statistical modeling and interpretation. This package provides tools to accurately handle and analyse such ratios:

• Probability density function
• Sample simulation
• Parameter estimation

An example on the study of chlorophyll fluorescence can be found in A. El Ghaziri et al. (2023)

Installation

Install the package from CRAN:

install.packages("gaussratiovegind")

Or install the development version from the repository, using the devtools package:

install.packages("devtools")
devtools::install_gitlab("imhorphen/gaussratiovegind",
                         host = "https://forgemia.inra.fr")

Authors

Pierre Santagostini, Angélina El Ghaziri, Nizar Bouhlel and David Rousseau

References

El Ghaziri, A., Bouhlel, N., Sapoukhina, N., Rousseau, D., On the importance of non-Gaussianity in chlorophyll fluorescence imaging. Remote Sensing 15(2), 528 (2023). https://doi.org/10.3390/rs15020528

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.