Wireless data broadcast is reliable way for the scalability of information system, where a huge number of clients try to access data items. Especially, broadcasting spatial data enables various location dependent information service and IoT services from the client’s current location. Data scheduling scheme is critical to the access time of clients because the scheme selects hot data items and determines the order of data items to be broadcast. This paper proposes a spatial data scheduling scheme, which considers the needs of data from the clients and the distribution of the clients simultaneously. The proposed scheme schedules dynamically through the recalculation of the access probability of items every given time slice. Through simultaneous and dynamical scheduling, the scheme reduces the average access time. The performance evaluation shows the proposed scheme outperforms the existing schemes with respect to the access time and tuning time of the clients.