New York – A new book published by Princeton Architectural Press explores how data visualisation can help to make sense of digital information.
Author Manuel Lima compiled Visual Complexity: Mapping Patterns of Information based on content gathered from his website visualcomplexity.com. The site is a resource for various visualisation methods used to represent data from different disciplines, from social networks to biology.
The book is divided into chapters that explore the history of data visualisation, ranging from early representations such as the tree of life, to complex language maps, and structural explorations of online networks suck as Wikipedia.
‘Information visualisation aims to visually translate large volumes of data into digestible insights, creating an explicit bridge between data and knowledge,’ says Lima.
For more examples of data visualisation, see our Infosthetics micro trend.