Quasi-holography computational model for urban computing.

Vast amounts of data are produced with the development of smart cities and urban computing technologies. The data is often captured from multiple sensors, with heterogeneous structures and highly decentralized connections. Integrated data representation and smart computational models are required for more complex tasks in urban computing. We dwell deeply on two fundamental questions — can we provide an integrated data representation for the whole cyber–physical–social system? And, can we provide an integrated framework to choose the appropriate data for understanding a specific urban event? A holography data representation and the quasi-holography computational model have been proposed to address these problems. We describe case studies using the quasi-holography computational model, and discuss further problems to solve regarding our model.