README.md

In mattmar/rasterdiv: Diversity Indices for Numerical Matrices

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: 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()

Learn More on rasterdiv

• rasterdiv—An Information Theory tailored R package for measuring ecosystem heterogeneity from space: To the origin and back;
• Measuring diversity from space: a global view of the free and open source rasterdiv R package under a coding perspective;
• From zero to infinity: Minimum to maximum diversity of the planet by spatio-parametric Rao’s quadratic entropy
• Helical graphs to visualize the NDVI temporal variation of forest vegetation in an open source space
• Phenological Diversity Trends with Remote Sensing Datacubes

mattmar/rasterdiv documentation built on Feb. 25, 2025, 5:59 p.m.