Spatial interpolation is a method used to estimate unknown values at specific locations based on known values from surrounding areas. This technique is commonly applied in fields like geography, environmental science, and meteorology to create continuous surfaces from discrete data points, such as temperature or elevation. There are various interpolation techniques, including kriging, inverse distance weighting, and spline interpolation. Each method has its own strengths and is chosen based on the data characteristics and the desired accuracy of the results. Spatial interpolation helps in visualizing and analyzing spatial patterns effectively.