As the size and complexity of data increases, scientists need tools to better explore, discover, and communicate the information within their data. While color has always been utilized and studied as a component of scientific data visualization, its full potential for discovery and communication of scientific data remains untapped.
SciVisColor addresses this gap by creating tools and providing strategies that allow scientists to use color as a tool to better understand and communicate their data.
These tools and guides have been designed with scientists’ data visualization workflow and tools in mind for ease of use. Users can explore and download: