Which type of analysis would best visualize a hurricane's movement over time?

The most suitable type of analysis for visualizing a hurricane's movement over time is temporal analysis. Temporal analysis focuses on how data changes over time, allowing for the examination of dynamic processes. In this context, it provides the capability to track and visualize the path, speed, and changes in the hurricane's characteristics as it progresses, effectively representing the time-based aspect of the hurricane's trajectory.

Using temporal analysis, one can create animations or time series maps that highlight how the hurricane's path shifts, how its intensity changes, and how it interacts with environmental factors over a specified timeframe. This is essential for understanding not only the historical movement of the hurricane but also for forecasting future movements, which is critical for disaster preparedness and response.

Other types of analysis, such as statistical, network, and proximity, do not focus on changes over time in the same way. Statistical analysis may provide insights into patterns or trends in data but lacks the time dimension necessary to illustrate the movement of a hurricane effectively. Network analysis focuses on connectivity and flow within networks and is not suitable for visualizing a natural phenomenon like a hurricane. Proximity analysis is concerned with distances between locations but does not capture the temporal changes needed to represent a hurricane's movement. Thus, temporal analysis is uniquely positioned