Colour Schemes for Scientific Data Visualization

Color schemes ready for each type of data (qualitative, diverging or sequential), with colors that are distinct for all people, including color-blind readers. This package provides an implementation of Paul Tol (2018) and Fabio Crameri (2018) color schemes for use with 'graphics' or 'ggplot2'. It provides tools to simulate color-blindness and to test how well the colors of any palette are identifiable. Several scientific thematic schemes (geologic timescale, land cover, FAO soils, etc.) are also implemented.

'ggplot' Visualizations for the 'partykit' Package

Extends 'ggplot2' functionality to the 'partykit' package. 'ggparty' provides the necessary tools to create clearly structured and highly customizable visualizations for tree-objects of the class 'party'.

A More Scalable Alternative to Venn and Euler Diagrams for Visualizing Intersecting Sets

Creates visualizations of intersecting sets using a novel matrix design, along with visualizations of several common set, element and attribute related tasks (Conway 2017) .

Visualizes a Matrix as Heatmap

Visualizes a matrix object plainly as heatmap. It provides S3 functions to plot simple matrices and loading matrices.

Dendrogram Seriation: Ordering for Visualisation

Re-arranges a dendrogram to optimize visualisation-based cost functions. The methods implemented here are described in "Advances in Dendrogram Seriation for Application to Visualization", Journal of Computational and Graphical Statistics (2015) D. Earle and C.B. Hurley .

Visualising Bipartite Networks and Calculating Some (Ecological) Indices

Functions to visualise webs and calculate a series of indices commonly used to describe pattern in (ecological) webs. It focuses on webs consisting of only two levels (bipartite), e.g. pollination webs or predator-prey-webs. Visualisation is important to get an idea of what we are actually looking at, while the indices summarise different aspects of the web's topology.

Interactive Visualizations for Profiling R Code

Interactive visualizations for profiling R code.

Visualizing and Analyzing Animal Track Data

Contains functions to access movement data stored in 'movebank.org' as well as tools to visualize and statistically analyze animal movement data, among others functions to calculate dynamic Brownian Bridge Movement Models. Move helps addressing movement ecology questions.

Interactive Statistical Data Visualization

An extendable toolkit for interactive data visualization and exploration.

Analysis and Visualization of Complex Networks

Provides tools for the analysis, visualization, and manipulation of dynamical, social (Saqr et al. (2024) ) and complex networks (Saqr et al. (2025) ). The package supports multiple network formats and offers flexible tools for heterogeneous, multi-layer, and hierarchical network analysis with simple syntax and extensive toolset.