The R package infiltrodiscR: A package for infiltrometer data analysis and an experience for improving data reproducibility in soil physics
This paper discusses the interest in utilizing R, a programming language, in soil physics for enhanced data reproducibility. Reproducibility is challenging across scientific disciplines, including soil science, and it is encouraged by demands for transparency from funding bodies and governments. Open and reproducible soil physics research can benefit the scientific community. With a focus on open science practices, the authors developed {infiltrodiscR}, leveraging existing R knowledge in soil physics. The package facilitates analysis of infiltration data, demonstrated through analysing changes in infiltration using published data. Results align with previous findings, showcasing {infiltrodiscR}'s potential in promoting reproducibility in soil science research.
Authors
- Sara E. Acevedo (ORCID: https://orcid.org/0000-0003-3203-2106)
- Carolina V. Giraldo (ORCID: https://orcid.org/0000-0002-0627-8762)
- Carlos A. Bonilla (ORCID: https://orcid.org/0000-0003-3107-999X)
Institutions
- Oregon State University (US)
- Pontificia Universidad Católica de Chile (CL)
- Centre For Sustainable Urban Development (CL)
Publication Details
- Journal
- SoftwareX
- Published
- 2024-10-07
- DOI
- https://doi.org/10.1016/j.softx.2024.101916
- Citations
- 1
- Primary Topic
- Soil and Unsaturated Flow
- Type
- article
- Field-Weighted Citation Impact
- 0.26
Funders
- Pontificia Universidad Católica de Chile
- Agencia Nacional de Investigación y Desarrollo