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In georeferencing, the number of control points needed for accuracy is closely tied to the transformation method being used. Different methods, such as affine, polynomial, or projective transformations, have varying requirements for the number of control points to achieve an accurate transformation of the raster image.

For example, a first-order polynomial transformation requires at least three control points, while a second-order polynomial requires a minimum of six. An affine transformation, which preserves collinearity, needs at least three non-collinear points, but using more can enhance the accuracy.

This variability highlights the importance of understanding the specific transformation method applied to the spatial data. Choosing the appropriate number of control points based on the intended method can lead to more precise georeferencing outcomes, improving the resulting spatial accuracy of the data being transformed.