{"title":"Chopin: An open source R-language tool to support spatial analysis on parallelizable infrastructure","authors":"Insang Song , Kyle P. Messier","doi":"10.1016/j.softx.2025.102167","DOIUrl":null,"url":null,"abstract":"<div><div>This study introduces <span>chopin</span>, an R package that lowers the technical barriers to parallelizing geocomputation. Supporting popular R spatial-analysis libraries, <span>chopin</span> exploits parallel computing by partitioning data involved in each task. Partitioning can occur with regular grids, hierarchical units, or multiple file inputs, accommodating diverse input types and ensuring interoperability. This approach scales geospatial covariate calculations to match available processing power, from laptop computers to high-performance computers, reducing execution times proportional to the number of processing units. <span>chopin</span> is expected to benefit a broad range of research communities working with large-scale geospatial data, providing an efficient, flexible, and accessible tool for scaling geospatial computations.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"30 ","pages":"Article 102167"},"PeriodicalIF":2.4000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoftwareX","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352711025001347","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/21 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
This study introduces chopin, an R package that lowers the technical barriers to parallelizing geocomputation. Supporting popular R spatial-analysis libraries, chopin exploits parallel computing by partitioning data involved in each task. Partitioning can occur with regular grids, hierarchical units, or multiple file inputs, accommodating diverse input types and ensuring interoperability. This approach scales geospatial covariate calculations to match available processing power, from laptop computers to high-performance computers, reducing execution times proportional to the number of processing units. chopin is expected to benefit a broad range of research communities working with large-scale geospatial data, providing an efficient, flexible, and accessible tool for scaling geospatial computations.
期刊介绍：
SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.
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