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K-nearest neighbour joins from the Processing toolbox! This algorithm takes an input vector layer and creates a new vector layer that is an with additional attributes in its attribute table The additional attributes and their values are taken from a second vector layer, where features are joined by finding the closest features from each layer. By default only the single nearest feature is joined, but optionally the join can use the n-nearest neighboring features instead. If a maximum distance is specified, then only features which are closer than this distance will be matched.