spatiotemporal data

Spatiotemporal data refers to information that captures both where and when something occurs. It combines geographic location (space) with a specific point or period in time (time). For example, tracking a vehicle’s route over a day or recording weather patterns across different regions over several months are types of spatiotemporal data. This combined perspective helps analyze how phenomena change across places and periods, enabling insights like predicting traffic congestion patterns or monitoring environmental changes. It’s essential for understanding dynamic systems that unfold across both space and time.