IDENTIFYING AGGREGATION AND ASSOCIATION IN FULLY MAPPED SPATIAL DATA

Describes a clump recognition process that may be used to analyze fully mapped spatial data. Any given spatial pattern can be made less aggregated by replacing the closest-together pair of plants by a single individual at their centroid position. By repeatedly amalgamating pairs of individuals in this way, an initially aggregated pattern can be reduced to one indistinguishable from complete spatial randomness.

Coomes, D.A.; Rees, M.; Turnbull, L.

1999

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