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wallace 2: a shiny app for modeling species niches and distributions redesigned to facilitate expansion via module contributions
Ecography ( IF 5.4 ) Pub Date : 2023-01-16 , DOI: 10.1111/ecog.06547
Jamie M. Kass 1, 2, 3 , Gonzalo E. Pinilla‐Buitrago 2, 3 , Andrea Paz 2, 3, 4 , Bethany A. Johnson 3 , Valentina Grisales‐Betancur 5 , Sarah I. Meenan 3 , Dean Attali 6 , Olivier Broennimann 7, 8 , Peter J. Galante 3, 9 , Brian S. Maitner 10 , Hannah L. Owens 11, 12 , Sara Varela 13 , Matthew E. Aiello‐Lammens 14 , Cory Merow 15 , Mary E. Blair 9 , Robert P. Anderson 2, 3, 16
Affiliation  

Released 4 years ago, the Wallace EcoMod application (R package wallace) provided an open-source and interactive platform for modeling species niches and distributions that served as a reproducible toolbox and educational resource. wallace harnesses R package tools documented in the literature and makes them available via a graphical user interface that runs analyses and returns code to document and reproduce them. Since its release, feedback from users and partners helped identify key areas for advancement, leading to the development of wallace 2. Following the vision of growth by community expansion, the core development team engaged with collaborators and undertook a major restructuring of the application to enable: simplified addition of custom modules to expand methodological options, analyses for multiple species in the same session, improved metadata features, new database connections, and saving/loading sessions. wallace 2 features nine new modules and added functionalities that facilitate data acquisition from climate-simulation, botanical and paleontological databases; custom data inputs; model metadata tracking; and citations for R packages used (to promote documentation and give credit to developers). Three of these modules compose a new component for environmental space analyses (e.g., niche overlap). This expansion was paired with outreach to the biogeography and biodiversity communities, including international presentations and workshops that take advantage of the software's extensive guidance text. Additionally, the advances extend accessibility with a cloud-computing implementation and include a suite of comprehensive unit tests. The features in wallace 2 greatly improve its expandability, breadth of analyses, and reproducibility options, including the use of emerging metadata standards. The new architecture serves as an example for other modular software, especially those developed using the rapidly proliferating R package shiny, by showcasing straightforward module ingestion and unit testing. Importantly, wallace 2 sets the stage for future expansions, including those enabling biodiversity estimation and threat assessments for conservation.

中文翻译:

wallace 2:一个闪亮的应用程序,用于对物种生态位和分布进行建模,重新设计以通过模块贡献促进扩展

4 年前发布的Wallace EcoMod应用程序(R 包wallace)提供了一个开源和交互式平台,用于模拟物种生态位和分布,作为可复制的工具箱和教育资源。wallace利用文献中记录的 R 包工具,并通过图形用户界面提供它们,该界面运行分析并返回代码以记录和重现它们。自发布以来,来自用户和合作伙伴的反馈帮助确定了关键的进步领域,从而促成了wallace的发展2. 遵循通过社区扩展实现增长的愿景,核心开发团队与合作者合作,对应用程序进行了重大重组,以实现:简化添加自定义模块以扩展方法选项,在同一会话中对多个物种进行分析,改进元数据功能、新的数据库连接和保存/加载会话。华莱士2 具有九个新模块和附加功能,可促进从气候模拟、植物学和古生物学数据库中获取数据;自定义数据输入;模型元数据跟踪;以及对所用 R 包的引用(以宣传文档并给予开发人员荣誉)。其中三个模块构成了环境空间分析的新组成部分(例如,生态位重叠)。这种扩展与对生物地理学和生物多样性社区的外展相结合,包括利用该软件广泛的指导文本的国际演讲和研讨会。此外,这些进步通过云计算实现扩展了可访问性,并包括一套全面的单元测试。华莱士的特点2 大大提高了其可扩展性、分析广度和可重复性选项,包括使用新兴元数据标准。新架构通过展示直接的模块摄取和单元测试,作为其他模块化软件的示例,尤其是那些使用快速增长的 R 包shiny开发的软件。重要的是,wallace 2 为未来的扩展奠定了基础,包括那些能够进行生物多样性估计和保护威胁评估的扩展。
更新日期:2023-01-16
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