Visual analytics synthesise information and provide users deep insight even when analysis is derived from large quantities of dynamic and disparate data.
Visual analytics is more than visualisation. It can rather be seen as an integral approach combining visualisation, human factors, and data analysis. Visual analytics integrate methodology from information analytics, geospatial analytics, and scientific analytics. Human factors especially (e.g., interaction, cognition, perception, collaboration, presentation, and dissemination) play a key role in the communication between human and computer, as well as in the decision-making process.
GD integrates visual analytics for better decision making.
