Spatio-temporal modeling is a methodological approach and research field dedicated to analyzing, representing, and predicting phenomena that exhibit variations and dependencies across both space and time. It investigates systems where spatial patterns evolve over time or where temporal processes are spatially dependent, employing integrated statistical, mathematical, or computational techniques to capture complex dynamics and interactions. Its significance lies in providing frameworks for understanding, simulating, and forecasting dynamic spatial processes across various domains, enabling insights into the underlying mechanisms driving change and distribution.