Spatial interpolation techniques are methods used to estimate values at unknown points based on values at known locations. These techniques are essential for creating continuous surface representations from discrete data points, allowing for better visualization and analysis of spatial phenomena. They help fill in gaps in data collected over a geographic area and are widely used in environmental monitoring and control to make predictions and inform decision-making.
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