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
Published in:	Mathematics (Basel) Vol. 9; no. 21; p. 2726
Main Authors:	Jungck, John R., Pelsmajer, Michael J., Chappel, Camron, Taylor, Dylan
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.11.2021
Subjects:	Angles (geometry) Biologists Biology Computational geometry Computer science Convexity Correlation Geometry Graph theory Hulls Image analysis Mathematics Phylogenetics Polygons Software spatial statistics Tessellation tessellations Trees (mathematics) Visualization Voronoi polygons
ISSN:	2227-7390, 2227-7390
Online Access:	Get full text
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