Geospatial Voronoi Analysis
Geospatial Voronoi Analysis


Voronoi diagrams are a popular graphing application in which multidimensional planes are partitioned into regions by proximity to point locations. The concept has a rich set of applications across many different scientific, engineering and informatics fields including machine learning, robotics and network characterization. In this talk we introduce Voronoi partition analysis, describe implementations in popular data science tools and describe several applications that we have used measure customer behavior for market research applications.


Dan Finkel is a Principal Engineer and Data Scientist at Service Management Group working on geospatial algorithm development and design of machine learning processes. Prior to joining the SMG team Dan worked for 10 years at MIT Lincoln Laboratory in the Advanced Concepts and Technologies Group. At Lincoln he focused on prototyping and testing new Defense systems for the Surface Navy. In 2015 Dan was part of an R&D 100 awarding team that built the Distributed Engagement Coordinator, a real-time automated battle management tool for protecting Surface Action Groups under attack. Dan earned his PhD from North Carolina State University in Operations Research with a focus in Numerical Optimization.

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