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. Ope...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | SoftwareX |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711024002863 |
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| author | Carolina V. Giraldo Sara E. Acevedo Carlos A. Bonilla |
| author_facet | Carolina V. Giraldo Sara E. Acevedo Carlos A. Bonilla |
| author_sort | Carolina V. Giraldo |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-66640665780e410490328c24922a2d7b |
| institution | OA Journals |
| issn | 2352-7110 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SoftwareX |
| spelling | doaj-art-66640665780e410490328c24922a2d7b2025-08-20T01:54:15ZengElsevierSoftwareX2352-71102024-12-012810191610.1016/j.softx.2024.101916The R package infiltrodiscR: A package for infiltrometer data analysis and an experience for improving data reproducibility in soil physicsCarolina V. Giraldo0Sara E. Acevedo1Carlos A. Bonilla2Departamento de Ingeniería Hidráulica y Ambiental, Pontificia Universidad, Católica de Chile, Macul, Santiago, ChileFacultad de Agronomía y Sistemas Naturales, Pontificia Universidad Católica de Chile, Macul, Santiago, Chile; Centro de Desarrollo Urbano Sustentable CEDEUS ANID/FONDAP/1522A0002, Providencia, Santiago, ChileDepartamento de Ingeniería Hidráulica y Ambiental, Pontificia Universidad, Católica de Chile, Macul, Santiago, Chile; Centro de Desarrollo Urbano Sustentable CEDEUS ANID/FONDAP/1522A0002, Providencia, Santiago, Chile; Hermiston Agricultural Research and Extension Center, Oregon State University, Hermiston, OR, USA; Department of Crop and Soil Science, Oregon State University, Corvallis, OR, USA; Corresponding author.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.http://www.sciencedirect.com/science/article/pii/S2352711024002863Data analysisData reproducibilityInfiltrometerSoil hydrologySoil physicsR language |
| spellingShingle | Carolina V. Giraldo Sara E. Acevedo Carlos A. Bonilla The R package infiltrodiscR: A package for infiltrometer data analysis and an experience for improving data reproducibility in soil physics SoftwareX Data analysis Data reproducibility Infiltrometer Soil hydrology Soil physics R language |
| title | The R package infiltrodiscR: A package for infiltrometer data analysis and an experience for improving data reproducibility in soil physics |
| title_full | The R package infiltrodiscR: A package for infiltrometer data analysis and an experience for improving data reproducibility in soil physics |
| title_fullStr | The R package infiltrodiscR: A package for infiltrometer data analysis and an experience for improving data reproducibility in soil physics |
| title_full_unstemmed | The R package infiltrodiscR: A package for infiltrometer data analysis and an experience for improving data reproducibility in soil physics |
| title_short | The R package infiltrodiscR: A package for infiltrometer data analysis and an experience for improving data reproducibility in soil physics |
| title_sort | r package infiltrodiscr a package for infiltrometer data analysis and an experience for improving data reproducibility in soil physics |
| topic | Data analysis Data reproducibility Infiltrometer Soil hydrology Soil physics R language |
| url | http://www.sciencedirect.com/science/article/pii/S2352711024002863 |
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