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Activity Number: 423
Type: Topic Contributed
Date/Time: Tuesday, August 2, 2016 : 2:00 PM to 3:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract #320931 View Presentation
Title: Point Pattern Analysis of Geological Surface Features on Io
Author(s): E. Neeley Tass* and Jani Radebaugh
Companies: Brigham Young University and Brigham Young University
Keywords: Point Pattern ; Hierarchical Models ; Spherical Statistics ; Circular Statistics
Abstract:

Jupiter's moon Io is one of the most geologically active objects in the Solar System. Io is known both for its many active volcanoes, patera (volcanic depressions), and tall, steep mountains. The goal of this project is to understand the interaction between the locations of the volcanic features and the locations of the mountains on Io in order to better understand the volcanic versus tectonic origin of the Io surface features. We use a Bayesian hierarchical marked point process model that uses covariate information about the orientation preference and size of the geological features to model the intensity surface of the locations across the entire moon.


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