水文气象数据管理软件包hydrotoolbox

IF 2.3 4区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS R Journal Pub Date : 2023-11-01 DOI:10.32614/rj-2023-041
Ezequiel Toum, Pierre Pitte
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引用次数: 0

摘要

联邦机构、研究小组和私营公司提供的水文气象数据往往是异质的:记录以不同的格式保存,质量控制过程没有标准化,甚至在给定的机构内可能有所不同,变量并不总是以相同的时间分辨率记录,并且存在数据空白和错误记录的值。一旦处理了这些问题,拥有安全存储和操作序列的工具就很有用了,这些工具可以提供时间聚合、用于分析的交互式可视化、用于发布和/或交流结果的静态图形、用于纠正和/或修改序列的技术等等。在这里,我们介绍一个用R语言编写的软件包,使用面向对象编程,旨在实现这些目标,为用户提供一个处理任何类型水文气象系列的通用框架。我们介绍了包装设计,它的优势和局限性,并展示了它在两个实际案例中的应用。
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hydrotoolbox, a Package for Hydrometeorological Data Management
The hydrometeorological data provided by federal agencies, research groups and private companies tend to be heterogeneous: records are kept in different formats, quality control processes are not standardized and may even vary within a given agency, variables are not always recorded with the same temporal resolution, and there are data gaps and incorrectly recorded values. Once these problems are dealt with, it is useful to have tools to safely store and manipulate the series, providing temporal aggregation, interactive visualization for analysis, static graphics to publish and/or communicate results, techniques to correct and/or modify the series, among others. Here we introduce a package written in the R language using object-oriented programming and designed to accomplish these objectives, giving to the user a general framework for working with any kind of hydrometeorological series. We present the package design, its strengths, limitations and show its application for two real cases.
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来源期刊
R Journal
R Journal COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-STATISTICS & PROBABILITY
CiteScore
2.70
自引率
0.00%
发文量
40
审稿时长
>12 weeks
期刊介绍: The R Journal is the open access, refereed journal of the R project for statistical computing. It features short to medium length articles covering topics that should be of interest to users or developers of R. The R Journal intends to reach a wide audience and have a thorough review process. Papers are expected to be reasonably short, clearly written, not too technical, and of course focused on R. Authors of refereed articles should take care to: - put their contribution in context, in particular discuss related R functions or packages; - explain the motivation for their contribution; - provide code examples that are reproducible.
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