A Method to Categorize 2-Dimensional Patterns Using Statistics of Spatial Organization
| Autor: | Mara D. Rueda-Contreras, Juan López-Sauceda |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Computer science lcsh:Evolution shape pattern computer.software_genre Measure (mathematics) 03 medical and health sciences Argument Position (vector) lcsh:QH359-425 Genetics Ecology Evolution Behavior and Systematics Spatial organization Original Research Namibia fairy circles Degrees of freedom Data science Computer Science Applications Spatial heterogeneity 030104 developmental biology Categorization Order and disorder epithelial topology Data mining computer |
| Zdroj: | Evolutionary Bioinformatics Evolutionary Bioinformatics, Vol 13 (2017) |
| ISSN: | 1176-9343 |
| DOI: | 10.1177/1176934317697978 |
| Popis: | We developed a measurement framework of spatial organization to categorize 2-dimensional patterns from 2 multiscalar biological architectures. We propose that underlying shapes of biological entities can be approached using the statistical concept of degrees of freedom, defining it through expansion of area variability in a pattern. To help scope this suggestion, we developed a mathematical argument recognizing the deep foundations of area variability in a polygonal pattern (spatial heterogeneity). This measure uses a parameter called eutacticity. Our measuring platform of spatial heterogeneity can assign particular ranges of distribution of spatial areas for 2 biological architectures: ecological patterns of Namibia fairy circles and epithelial sheets. The spatial organizations of our 2 analyzed biological architectures are demarcated by being in a particular position among spatial order and disorder. We suggest that this theoretical platform can give us some insights about the nature of shapes in biological systems to understand organizational constraints. |
| Databáze: | OpenAIRE |
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