A tool for estimating values at unsampled locations based on a limited set of observed data points, often termed “pilot points,” is frequently employed across various disciplines. This estimation process typically involves kriging or other interpolation methods to create a continuous surface or volume from scattered data. For instance, in groundwater modeling, values such as hydraulic conductivity or head might be measured at specific well locations, and the tool then predicts values across the entire aquifer.
Utilizing this type of estimation tool offers significant advantages. It provides a cost-effective way to assess parameters over a large area or volume without requiring exhaustive and often expensive data collection at every location. This approach enables better informed decision-making, particularly in fields like environmental science, geology, and engineering, where comprehensive spatial data is critical. Historically, manual interpolation methods were employed, but advances in computational power have led to sophisticated software solutions for more accurate and efficient estimation.
