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The ability to predict when an individual mobile user will leave his current location and where we will move next enables a myriad of qualitatively different Location-Based Services (LBSes) and applications. To this extent, the present paper proposes a statistical method that explicitly performs these related temporal and spatial prediction tasks in three continuous, sequential phases. In the first phase, the method continuously extracts grid-based staytime statistics from the GPS coordinatedoi:10.1145/2442810.2442821 dblp:conf/gis/GidofalviD12 fatcat:rulkqz7d2rdtzdhrqhsx3yneme