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.

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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

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article

The R package infiltrodiscR: A package for infiltrometer data analysis and an experience for improving data reproducibility in soil physics

Sara E. Acevedo, Carolina V. Giraldo, Carlos A. Bonilla
1 citations
SoftwareX
Soil and Unsaturated Flow
0.26
article

The R package infiltrodiscR: A package for infiltrometer data analysis and an experience for improving data reproducibility in soil physics

Sara E. Acevedo, Carolina V. Giraldo, Carlos A. Bonilla
article en
1 citations

Abstract

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.

SoftwareXVol. 28
Oregon State University (US), Pontificia Universidad Católica de Chile (CL), Centre For Sustainable Urban Development (CL)
Pontificia Universidad Católica de Chile, Agencia Nacional de Investigación y Desarrollo
Zero hunger
Openalex Percentile: Top 44%
Soil and Unsaturated Flow
0.26
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The R package infiltrodiscR: A package for infiltrometer data analysis and an experience for improving data reproducibility in soil physics — Sara E. Acevedo, Carolina V. Giraldo, et al. · SoftwareX (2024) | TGRS Research Map | TGRS