Split and Dissolve Process

As a team member of a research group at the University of Illinois at Chicago, I was assigned the task of pre-processing incoming spatial data to fit the requirements of the research lead. The assignment was to cluster features that shared spatial proximity and an approximate name match.  Features within a 50 meter radius of each other that shared similarity in name were designated as the same feature. The solution was a split and dissolve process of spatial features for incoming datasets using Python's ArcPy module. A histogram of the match score distribution as well as a user interface were also added to accommodate manual feature name matching for candidates above a predefined match score.

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© Benjamin Bauman