Least squares adjustment is a statistical method used to minimize the sum of the squares of the differences between observed and estimated values in a dataset. This technique is crucial for ensuring that measurements, especially in geospatial contexts, are as accurate as possible by adjusting observations to best fit a mathematical model. It plays a vital role in establishing vertical datums and height systems by refining height measurements to align with a defined reference surface.
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