biogeom
biogeom simulates and fits parametric profiles of radially or axially symmetric natural shapes in a single plane for quantitative analysis of shape and ontogenetic growth.
Key Features:
- Universal Parametric Equations: Implements novel universal parametric equations to generate profiles of diverse natural objects exhibiting radial or axial symmetry in a single plane.
- Growth-Rate Equations: Provides three distinct growth-rate equations that produce ontogenetic growth curves, including sigmoid curves for estimating maximum growth rates.
- Empirical Datasets: Includes boundary-coordinate datasets for bird eggs, flowers, fruits, linear and lanceolate leaves, ovate leaves, seeds, sea stars (starfish), and tree rings.
- Quantitative Outline Analysis: Enables quantification of intra- and interspecific similarity of natural outlines for comparative and statistical analyses.
Scientific Applications:
- Ecology: Quantifies shape similarity and variation to support studies of species diversity and morphological adaptation.
- Evolutionary Biology: Analyzes ontogenetic shape changes to inform studies of developmental pathways and evolutionary form variation.
- Botany and Zoology: Models plant and animal growth trajectories and profile shapes to investigate life-history strategies and morphological development.
Methodology:
Uses universal parametric equations and three explicit growth-rate equations (including sigmoid forms) to generate profiles and ontogenetic curves, employs empirical boundary-coordinate datasets for bird eggs, flowers, fruits, linear and lanceolate leaves, ovate leaves, seeds, sea stars, and tree rings, and computes quantitative measures of intra- and interspecific outline similarity.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- library
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R
- Added:
- 10/9/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Shi P, Gielis J, Quinn BK, Niklas KJ, Ratkowsky DA, Schrader J, Ruan H, Wang L, Niinemets Ü. ‘biogeom’: An R package for simulating and fitting natural shapes. Annals of the New York Academy of Sciences. 2022;1516(1):123-134. doi:10.1111/nyas.14862. PMID:35879250.