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: density function, parameter estimation, simulation.
An example on the study of chlorophyll fluorescence can be found in
A. El Ghaziri et al. (2023)
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:
An example on the study of chlorophyll fluorescence can be found in A. El Ghaziri et al. (2023)
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://forge.inrae.fr")
Pierre Santagostini, Angélina El Ghaziri, Nizar Bouhlel and David Rousseau
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
Bouhlel, N., Mercier, F., El Ghaziri, A., Rousseau, D., Parameter Estimation of the Normal Ratio Distribution with Variational Inference. 2023 31st European Signal Processing Conference (EUSIPCO), Helsinki, Finland, 2023, pp. 1823-1827. https://doi.org/10.23919/EUSIPCO58844.2023.10290111