Functional data analysis is a field of statistics concerned with the analysis of data where each observation is considered to be a function, curve, or surface rather than a finite-dimensional vector. This methodological approach treats the entire trajectory or profile as the fundamental unit of analysis, enabling the investigation of variability, relationships, and models for phenomena evolving over continuous domains such as time, space, or frequency.