Abstract. Higher-rank Minkowski valuations are efficient means for describing the geometry and connectivity of spatial patterns. We show how to extend the framework of the scalar Minkowski valuations to vector-and tensor-valued measures. The versatility of these measures is demonstrated by using simple toy models as well as real data.
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