Abstract: Systems and methods for detecting and processing spatiotemporal data are disclosed. Signals are received from user devices, where each of the signals includes an identifier of a respective user device that transmitted the signal. A first subset of the signals is determined, where each signal in the first subset was received from a first user device. A first signal in the first subset is identified to classify as a begin signal based on a configuration associated with a first physical area, and a second signal in the first subset is identified to classify as an end signal based on the configuration associated with the first physical area. An amount of time that elapsed between receiving the begin signal and receiving the end signal is determined, and an estimated spatiotemporal measure is generated based at least in part on the determined first amount of time.

Abstract: Systems and methods for detecting and processing spatiotemporal data are disclosed. Signals are received from user devices, where each of the signals includes an identifier of a respective user device that transmitted the signal. A first subset of the signals is determined, where each signal in the first subset was received from a first user device. A first signal in the first subset is identified to classify as a begin signal based on a configuration associated with a first physical area, and a second signal in the first subset is identified to classify as an end signal based on the configuration associated with the first physical area. An amount of time that elapsed between receiving the begin signal and receiving the end signal is determined, and an estimated spatiotemporal measure is generated based at least in part on the determined first amount of time.