Colormaps are a vital method for users to gain insights into data in a visualization. With a
good choice of colormaps, users are able to acquire information in the data more effectively …

The visualization community has developed to date many intuitions and understandings of
how to judge the quality of views in visualizing data. The computation of a visualization's …

A myriad of design rules for what constitutes a “good” colormap can be found in the
literature. Some common rules include order, uniformity, and high discriminative power …

The expressiveness principle for visualization design asserts that a visualization should
encode all of the available data, and only the available data, implying that continuous data …

Abstract Model Predictive Controllers (MPCs) are widely used in the process industries and
are typically implemented with an integrated Linear Program (LP) optimizer in the form of …

Continuous colormaps are integral parts of many visualization techniques, such as heat-
maps, surface plots, and flow visualization. Despite that the critiques of rainbow colormaps …

The scatterplot matrix (SPLOM) is a well‐established technique to visually explore high‐
dimensional data sets. It is characterized by the number of scatterplots (plots) of which it …

One of the first steps in evaluating fisheries acoustic data is to explore an echogram of the
data. Echograms are a visual representation of reflected sound with range or distance from …

Colormapping is one of the simplest and most widely used data visualization methods within
and outside the visualization community. Uniformity, order, discriminative power, and …

Scientific visualization aims to present numerical values, or categorical information, in a way
that enables the researcher to make an inference that furthers knowledge. Well-posed …