John R. Farver

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Cellular automata (CA) are widely used in geospatial dynamic modeling and image processing. Here, we explore the application of two-dimensional cellular automata to the problem of grain boundary detection and extraction in digital images of thin sections from deformed rocks. The automated extraction of boundaries, which contain rich sources of information(More)
An ongoing challenge in curriculum development for modern, process-oriented courses in mineralogy and petrology is to design exercises that promote understanding of the mechanisms and rates of fundamental mineral processes. We have developed an exercise wherein students determine magma ascent rates for recent eruptions of Mount St. Helens. The ascent rates(More)
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