Trend Surface Analysis: Fitting Mathematical Surfaces for Spatial Data Modeling

Trend Surface Analysis is a statistical method that approximates spatial patterns through mathematical surface fitting. While finding an exact surface representation for practical problems is often challenging, polynomial functions can effectively approximate these surfaces using regression techniques. This approach typically involves calculating coefficients through least squares estimation to minimize residuals between observed data points and the fitted surface.