Abstract Details
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Activity Number:
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655
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Type:
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Contributed
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Date/Time:
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Thursday, August 7, 2014 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Imaging
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Abstract #312565
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View Presentation
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Title:
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An Application of Spatial Point Process
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Author(s):
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Kalanka Jayalath*+ and Richard Gunst and David Meltzer
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Companies:
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Stephen F. Austin State University and Southern Methodist University and Southern Methodist University
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Keywords:
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Ripley's K-function ;
L-function ;
Spatial Point Process ;
Cluster Indices ;
Quadrat Method
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Abstract:
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Identifying spatially distributed point patterns plays an important role in many scientific areas including pattern recognition, computer vision, image processing and some geological applications. This research is focused on applying spatial point process theories to analyze suspected prehistoric house structures belongs to Pleistocene people. Various statistical methods such as quadrat method, cluster indices and Ripley's K function are used to test the complete spatial randomness of rock locations of the excavated sites. A variation of the K-function known as the L-function is used to compare the clustering structures identified in few different sites and the existence of small scale regularities of those sites is also discussed.
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