Basic Kernel Estimation for Land Values

This method operates on the same basic logic that i used to hand estimated the land value of the san francisco house in part one based on the value of the emptylo next door. The key advantage is that it works directly from true market data for land and doesn't need or want any other subjective data. In the end, basic kernel estimation just fills in the landvalue of unmeasured locations with a local weighted average of known locations. Semi parometric rogression gives you more accurate results by enforcing certain relationships between property characteristics and location. Adaptive weights smoothing adds additional weight to any observed data points that are sufficiently close to the point being estimated. This technique bakes assumptions about