Abstract: Techniques are described herein for workspace occupancy estimation using presence sensor data and a predictive model. In various embodiments, spatial distributions of workspaces (340) and presence sensors (342) may be identified (402) in an open environment and used to generate (406) a surrogate model. The surrogate model may indicate which workspaces in the open environment are within sensor range of each presence sensor in the open environment. A plurality of simulated occupancy patterns may be applied across the surrogate model to generate a corresponding plurality of triggered sensor patterns. Based on the applying, a predictive model may be generated (410) for estimating occupancy among the plurality of workspaces in the open environment based on triggered sensor patterns. A real life triggered sensor pattern may then be applied (414) across the predictive model to estimate occupancy among the plurality of workspaces in the environment.