Procrustean pseudo-landmark methods in Python to measure massive quantities of leaf shape data.
- DOI
- 10.1002/aps3.70051
- Published
- 2026 Mar-Apr
- Container
- Applications in plant sciences
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1002/aps3.70051,
title = {Procrustean pseudo-landmark methods in Python to measure massive quantities of leaf shape data.},
author = {Hightower A and Hall S and Urquidi Camacho R and Papamichail A and Adamski E and Colligan C and Deneen A and Dunn G and Haziza J and Henley C and Pawawongsak A and Simms L and Ward S and Balant M and Blackwood C and Cannon C and Case A and Husbands AY and Josephs EB and Migicovsky Z and Patterson E and Saavedra-Rojas YA and Chitwood DH},
year = {2026},
journal = {Applications in plant sciences},
doi = {10.1002/aps3.70051},
url = {https://doi.org/10.1002/aps3.70051}
}RIS
TY - JOUR TI - Procrustean pseudo-landmark methods in Python to measure massive quantities of leaf shape data. AU - Hightower A AU - Hall S AU - Urquidi Camacho R AU - Papamichail A AU - Adamski E AU - Colligan C AU - Deneen A AU - Dunn G AU - Haziza J AU - Henley C AU - Pawawongsak A AU - Simms L AU - Ward S AU - Balant M AU - Blackwood C AU - Cannon C AU - Case A AU - Husbands AY AU - Josephs EB AU - Migicovsky Z AU - Patterson E AU - Saavedra-Rojas YA AU - Chitwood DH PY - 2026 JO - Applications in plant sciences DO - 10.1002/aps3.70051 UR - https://doi.org/10.1002/aps3.70051 ER -
APA
A, H., S, H., R, U. C., A, P., E, A., C, C., A, D., G, D., J, H., C, H., A, P., L, S., S, W., M, B., C, B., C, C., A, C., AY, H., EB, J., Z, M., E, P., YA, S., & DH, C. (2026). Procrustean pseudo-landmark methods in Python to measure massive quantities of leaf shape data.. Applications in plant sciences. https://doi.org/10.1002/aps3.70051
Source records
- pubmed · retrieved 2026-09-25T08:22:11.093Z