Quantifying spatial structure in experimental observations and agent-based simulations using pair-correlation functions

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dc.contributor.authorBinder, B.
dc.contributor.authorSimpson, M.
dc.date.issued2013
dc.description.abstractWe define a pair-correlation function that can be used to characterize spatiotemporal patterning in experimental images and snapshots from discrete simulations. Unlike previous pair-correlation functions, the pair-correlation functions developed here depend on the location and size of objects. The pair-correlation function can be used to indicate complete spatial randomness, aggregation, or segregation over a range of length scales, and quantifies spatial structures such as the shape, size, and distribution of clusters. Comparing pair-correlation data for various experimental and simulation images illustrates their potential use as a summary statistic for calibrating discrete models of various physical processes.
dc.description.statementofresponsibilityBenjamin J. Binder, Matthew J. Simpson
dc.identifier.citationPhysical Review E: Statistical, Nonlinear, and Soft Matter Physics, 2013; 88(2):1-10
dc.identifier.doi10.1103/PhysRevE.88.022705
dc.identifier.issn1539-3755
dc.identifier.issn1550-2376
dc.identifier.orcidBinder, B. [0000-0002-1812-6715]
dc.identifier.urihttp://hdl.handle.net/2440/81294
dc.language.isoen
dc.publisherAmerican Physical Soc
dc.relation.granthttp://purl.org/au-research/grants/arc/DP120100551
dc.rights© 2013 American Physical Society.
dc.source.urihttps://doi.org/10.1103/physreve.88.022705
dc.subjectAgent based simulation
dc.subjectComplete spatial randomness
dc.subjectDiscrete simulations
dc.subjectDistribution of cluster
dc.subjectPair correlation functions
dc.subjectSimulation images
dc.subjectSpatial structure
dc.subjectSummary statistic
dc.titleQuantifying spatial structure in experimental observations and agent-based simulations using pair-correlation functions
dc.typeJournal article
pubs.publication-statusPublished

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