In mattmar/rasterdiv: Diversity Indices for Numerical Matrices

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rasterdiv

Installation

Stable version from CRAN:

install.packages("rasterdiv")

Development version from GitHub:

# install.packages("remotes")
remotes::install_github("mattmar/rasterdiv")

What is rasterdiv?

rasterdiv is an R package that provides functions to apply diversity indexes based on Information Theory on RasterLayer or numerical matrices. Supported indexes include:

Parametric Rao’s quadratic entropy (classical and multidimensional);
Shannon's diversity index;
Pielou's evenness index;
Hill's generalised entropy;
Rényi's generalised entropy;
Berger-Parker index;
Cumulative Residual Entropy (CRE)

New Features

Time Series Integration: The package recently integrated time series of remote sensing data to derive Rao's index, for example considering plant phenology. See the vignette: Multidimension Rao’s Index.
Helical Graphs: Prepare and plot time series with “helical graphs”. See the vignette: r if(knitr::is_html_output()) { "[Visualising rasterdiv indexes with Helical Plots](https://mattmar.github.io/rasterdiv/articles/rasterdiv_05_Helical_Plots.html)" } else { "\\href{https://mattmar.github.io/rasterdiv/articles/rasterdiv_05_Helical_Plots.html}{Visualising rasterdiv indexes with Helical Plots}" }.

Key Features

Moving Window and Area-Based Calculations: Derive indexes using a “moving window” approach (all functions) or area-based Parametric Rao’s quadratic entropy via paRao()