预对齐星形物体的形状空间:通过主成分分析研究植物生长

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

Journal of the Royal Statistical Society. Series C: Applied Statistics · 2009
被引 1
ABS 3

中文导读

研究了预对齐星形物体的形状空间,用于分析叶片生长和树木年轮的时间演化,发现形状主要沿第一主成分变化,并与环境变化相关。

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.

形状分析主成分分析植物生长几何形态测量