R的时空整齐数组

你好,

今天我’d提请您注意即将推出的有趣的R包,用于处理空间数据。

Following the successful 发布 of the sf package, which simplifies and optimizes many aspects of handling spatial (vector) 数据 in R by implementing simple features as native R 数据 (alongside with many R convenience functions, such as support for pipe-based workflows, dplyr-style verbs and integration with ggplot), the R masterminds for geospatial 数据 analysis around Edzer Pebesma are currently working on a new package related to the management and analysis of 时空数组. The package will be called 星星 and is specifically targed to facilitate work with spatiotemporal 数据, coming in the form of dense arrays, with space and time being array dimensions.

The package is not intended to replace the very powerful 栅格 package, but should be rather seen as a modern, efficient and convenient package featuring tidy, scalable and optimized (due to its implementation in C++) workflows for 时空数组, thus also improving some of 栅格‘s functionality.

该项目目前正在开发中,您可以在github上关注进度 //github.com/r-spatial/stars,您还可以在其中查看 提案.

最好的祝福,
马蒂亚斯

关于作者

马蒂亚斯在维也纳自然资源与生命科学大学学习了环境信息管理,并获得了环境统计博士学位。他的论文的重点是罕见(极端)事件的统计建模,作为对关键基础设施进行漏洞评估的基础。他目前在奥地利国家气象和地球物理服务局(ZAMG)和BOKU大学山区风险工程研究所工作。他目前专注于(统计)不良天气事件和自然灾害以及减少灾害风险的评估。他的主要兴趣是环境现象的统计建模以及用于数据科学,地理信息和遥感的开源工具。

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