RGB plots as a tool for the simultaneous visualization of multiple data layers in a two dimensional space.

PLoS One

Department of Geography and Environment, Bar-Ilan University, Ramat-Gan, Israel.

Published: November 2015

AI Article Synopsis

  • Visualization of multidimensional data enhances the understanding of complex systems, and an RGB visualization method is introduced to display environmental properties.
  • The saturation of colors in the RGB model represents the concentration levels of specific nutrients and phytoplankton groups.
  • This method outperforms traditional visualization techniques by providing a more integrated view of interactions among multiple datasets, revealing both known and lesser-known water column properties.

Article Abstract

Visualization of multidimensional data helps in understanding complex systems and environments. We present here a red, green, blue (RGB) visualization method that can serve to display environmental properties. The saturation of each color is used to represent the concentration of a given property. The implementation of that figure is illustrated through visualization of three dissolved inorganic nutrient concentrations along a vertical transect of the Mediterranean, as well as through a vertical time series of three phytoplankton group cell numbers. The RGB figures show well known properties of the water column. In addition, they reveal some lesser-known properties, such as regions in shallow water in which the ratio of phosphorus and silica to nitrogen is high, and a deep eukariotic phytoplankton community. Visualization of such data is usually performed with three separate contour or surface plots, and occasionally two properties are presented as an overlay in a single figure. The RGB figure offers a better way to visualize the interactions among the three separate plots than is commonly available.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4100923PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0102903PLOS

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