AquaCropPlotter:一个闪亮的应用程序可用于可视化和分析AquaCrop模拟结果
Nattapong Sanguankiattichai1,2,3, Andrea Setti1, Jorge Alvar-Beltrán1
1Food and Agriculture Organization (FAO) of the United Nations, Rome, Italy.
PloS one
|December 2, 2025
概括
AquaCropPlotter是一个新的R Shiny应用程序,可以简化处理和可视化来自粮农组织的数据.
科学领域:
- 农业科学 农业科学
- 计算科学 计算科学
- 数据科学数据科学数据科学
背景情况:
- 粮农组织的AquaCrop模型有助于农业管理,但产生复杂的输出文件.
- 从AquaCrop模拟中分析大型数据集对研究人员来说是一个重要的瓶.
- 有效的处理和可视化对于充分利用AquaCrop的全部潜力至关重要.
研究的目的:
- 开发一个R Shiny应用程序,AquaCropPlotter,以简化对AquaCrop模型输出的分析.
- 为处理,可视化和分析AquaCrop模拟数据提供一个直观的工具.
- 为了提高AquaCrop的可访问性和可用性,用于农业研究和实践.
主要方法:
- 开发AquaCropPlotter作为一个R闪亮的应用程序.
- 将AquaCrop输出文本文件自动处理成结构化数据表.
- 集成灵活的可视化工具和统计分析功能.
- 提供可出口的数据表,图表和分析结果.
主要成果:
- AquaCropPlotter成功地自动化了AquaCrop输出文件的处理.
- 该应用程序提供直观的数据探索,可视化和统计分析.
- 用户可以从AquaCrop模拟中获得洞察力,而不需要编程专业知识.
- 摩尔多瓦共和国的案例研究证明了AquaCropPlotter的实用性.
结论:
- 在分析AquaCrop模拟输出时,AquaCropPlotter显著减少了瓶.
- 开源应用程序促进了AquaCrop在农业中的更广泛的采用和应用.
- AquaCropPlotter使研究人员和从业人员能够更好地利用与水有关的作物建模见解.
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