Shape spaces for prealigned star-shaped objects-studying the growth of plants by principal components analysis

2009 | journal article. A publication with affiliation to the University of Göttingen.

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​Shape spaces for prealigned star-shaped objects-studying the growth of plants by principal components analysis​
Hotz, T. ; Huckemann, S. ; Munk, A. ; Gaffrey, D.   & Sloboda, B. ​ (2009) 
Journal of the Royal Statistical Society. Series C, Applied Statistics59(1) pp. 127​-143​.​ DOI: https://doi.org/10.1111/j.1467-9876.2009.683.x 

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Authors
Hotz, Thomas ; Huckemann, Stephan ; Munk, Axel ; Gaffrey, D. ; Sloboda, Branislav 
Abstract
We analyse the shapes of star‐shaped objects which are prealigned. This is motivated from two examples studying the growth of leaves, and the temporal evolution of tree rings. In the latter case measurements were taken at fixed angles whereas in the former case the angles were free. Subsequently, this leads to different shape spaces, related to different concepts of size, for the analysis. Whereas several shape spaces already existed in the literature when the angles are fixed, a new shape space for free angles, called spherical shape space, needed to be introduced. We compare these different shape spaces both regarding their mathematical properties and in their adequacy to the data at hand; we then apply suitably defined principal component analysis on these. In both examples we find that the shapes evolve mainly along the first principal component during growth; this is the ‘geodesic hypothesis’ that was formulated by Le and Kume. Moreover, we could link change‐points of this evolution to significant changes in environmental conditions.
Issue Date
2009
Journal
Journal of the Royal Statistical Society. Series C, Applied Statistics 
ISSN
0035-9254
Language
English

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