Interpolation is a method of estimating unknown values from known values. Interpolation is a fundamental mathematical method used in various fields, including Geographic Information Systems (GIS) and data analysis. It plays a crucial role in estimating or filling in missing values between known data points.
In GIS applications, interpolation is particularly valuable for spatial data analysis and visualization. Selecting the appropriate interpolation method depends on factors such as data characteristics, distribution of data points, and desired accuracy. It is essential to choose the right method and validate the results to ensure reliable and meaningful estimates in GIS and data analysis workflows.
By employing interpolation effectively, professionals in GIS and data analysis can enhance spatial analysis, visualize data trends, and make informed decisions based on comprehensive and accurate information.