Taxonomic classification of seabird long bones using 3D shape: A method with wider potential in zooarchaeology
收藏NIAID Data Ecosystem2026-03-14 收录
下载链接：
https://zenodo.org/record/7070905
下载链接
链接失效反馈官方服务：
资源简介：
Dataset of manually-placed landmark (.pts) files.
Fixed landmarks and semilandmarks were placed on 3D digitised (.ply) models and exported in .pts file format from Landmark Editor 3.0 (Institute of Data Analysis and Visualization IDAV, University California Davis, USA) (Wiley et al., 2005). The .pts files can be read into R (R Core Team., 2021) using the Morpho::read.pts function (Schlager, 2017).
R Core Team. (2021). R: A language and environment for statistical computing. (Version 4.0.2). R Foundation for Statistical Computing, Vienna, Austria. https://www.r-project.org/.
Schlager, S. (2017). Morpho and Rvcg–Shape Analysis in R: R-Packages for geometric morphometrics, shape analysis and surface manipulations. In Statistical shape and deformation analysis (pp. 217-256). Elsevier.
Wiley, D. F., Amenta, N., Alcantara, D. A., Ghosh, D., Kil, Y. J., Delson, E., Harcourt-Smith, W., Rohlf, F. J., St. John, K., & Hamann, B. (2005). Evolutionary morphing. IEEE Visualization 2005 - (VIS'05), pp.55.
创建时间：
2022-09-12
