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Updated: Aug 13, 2026

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
Published on: February 9, 2017
Statistical characterizations of spatiotemporal patterns generated in the Swift-Hohenberg model
Shaowen Hu1, Girish Nathan, Donald J Kouri
1Department of Chemistry, University of Houston, Houston, Texas 77204, USA.
Abstract:
Two families of statistical measures are used for quantitative characterization of nonequilibrium patterns and their evolution. The first quantifies the disorder in labyrinthine patterns, and captures features like the domain size, defect density, variations in wave number, etc. The second class of characteristics can be used to quantify the disorder in more general nonequilibrium structures, including those observed during domain growth. The presence of distinct stages of relaxation in spatiotemporal dynamics under the Swift-Hohenberg equation is analyzed using both classes of measures.
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