Large-scale urban sensing data such as mobile phone traces are emerging as an important data source for studying human mobility. With location related information (i.e longitude and latitude), the data represent a unique opportunity to monitor individual mobility flows in a timely manner and with proper spatial aggregation. Modeling such data from time and space provides spatiotemporal pattern of human mobility, which has a close link to individual’s behavior mode and social role....