Temporal analysis is a research area that focuses on the study of changes over time. It involves analyzing time series data to identify patterns, trends, and relationships between variables. Temporal analysis can be applied in various fields, such as finance, economics, epidemiology, and climate science, to forecast future outcomes, detect anomalies, and make informed decisions based on historical data. This research area often involves the use of statistical methods, machine learning algorithms, and data visualization techniques to interpret and analyze temporal data effectively.