Adaptive sampling

Adaptive sampling is a smart data collection method that adjusts how and where data points are gathered based on the information already collected. Instead of sampling randomly or uniformly, it focuses more on areas of interest or uncertainty, improving efficiency and accuracy. Think of it like a researcher zooming in on a specific region where more detail is needed, rather than spreading efforts evenly everywhere. This approach helps save resources and provides more relevant insights, especially useful in fields like environmental monitoring, machine learning, and scientific experiments.