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Tour Methods for Multivariate Data Visualisation
Implements geodesic interpolation and basis generation functions that allow you to create new tour methods from R.
Calculations and Visualisations Related to Geometric Morphometrics
A toolset for Geometric Morphometrics and mesh processing. This includes (among other stuff) mesh deformations based on reference points, permutation tests, detection of outliers, processing of sliding semi-landmarks and semi-automated surface landmark placement.
'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'.
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)
Airborne LiDAR Data Manipulation and Visualization for Forestry Applications
Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.
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
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)
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.
Visualization and Analysis Tools for Neural Networks
Visualization and analysis tools to aid in the interpretation of neural network models. Functions are available for plotting, quantifying variable importance, conducting a sensitivity analysis, and obtaining a simple list of model weights.