ggsoiltexture: An R package based on ggplot2 for soil texture data visualization
The soil science community is increasingly adopting R for reproducible data analysis and visualization. Soil texture data visualized in ternary plots is a key component in soil physics, and challenging to plot in a clear way while maintaining consistent data visualization components. reproducible functions in R can lead to clearer and reproducible methods for plotting it. Embracing these principles, the authors developed ggsoiltexture, an R package leveraging the ggplot2 framework to create customizable and publication-quality soil texture plots. The package demonstrated accurate and visually appealing representations of soil texture classifications through case studies using already-published data.
Authors
- Moreen Willaredt (ORCID: https://orcid.org/0000-0002-0081-3170)
- Pablo Pastén (ORCID: https://orcid.org/0000-0002-9961-9342)
- Sara E. Acevedo (ORCID: https://orcid.org/0000-0003-3203-2106)
- Carolina V. Giraldo (ORCID: https://orcid.org/0000-0002-0627-8762)
- Alejandra Vega (ORCID: https://orcid.org/0000-0002-2842-8178)
- Cristina Contreras (ORCID: https://orcid.org/0000-0002-9599-7442)
- Lauren O’Brien (ORCID: https://orcid.org/0000-0002-7336-2171)
Institutions
- Centre For Sustainable Urban Development (CL)
- University of California, Davis (US)
- Manaaki Whenua – Landcare Research (NZ)
Publication Details
- Journal
- SoftwareX
- Published
- 2025-08-08
- DOI
- https://doi.org/10.1016/j.softx.2025.102293
- Primary Topic
- Soil Geostatistics and Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsche Forschungsgemeinschaft
- Centro de Desarrollo Urbano Sustentable
- Agencia Nacional de Investigación y Desarrollo