Space: The Re-Visioning Frontier of Biological Image Analysis with Graph Theory, Computational Geometry, and Spatial Statistics

Space: The Re-Visioning Frontier of Biological Image Analysis with Graph Theory, Computational Geometry, and Spatial Statistics

Every biological image contains quantitative data that can be used to test hypotheses about how patterns were formed, what entities are associated with one another, and whether standard mathematical methods inform our understanding of biological phenomena. In particular, spatial point distributions...

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Bibliographic Details
Main Authors: John R. Jungck, Michael J. Pelsmajer, Camron Chappel, Dylan Taylor
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Mathematics
Subjects:
graph theory
computational geometry
spatial statistics
image analysis
tessellations
Voronoi polygons
Online Access:https://www.mdpi.com/2227-7390/9/21/2726

Internet

https://www.mdpi.com/2227-7390/9/21/2726

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