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在土壤研究中R的整合和增长:十年分析

Meixiang Gao^1,2, Xiujuan Yan³, Xin Li^1,2

¹Department of Geography and Spatial Information Techniques Ningbo University Ningbo China.

Ecology and evolution

|June 30, 2025

概括

土壤科学家越来越多地使用R编程语言进行数据分析和可视化. 它的采用从2014年到2023年大幅增长,像"素食主义者"和"ggplot2"这样的流行套餐带来了深入的见解.

科学领域:

土壤科学研究研究土壤科学研究
计算型土壤科学计算型土壤科学
农业中的数据分析.

背景情况:

计算工具和统计方法的进步正在改变土壤科学.
编程语言R为土壤数据分析,建模和可视化提供了一个多功能平台.
关于在土壤研究中R使用的具体趋势和模式的文档有限.

研究的目的:

调查R编程语言在土壤科学研究中的使用率和趋势.
为了在十年内在土壤科学出版物中识别常用的R包.
分析土壤研究文献中R采用的增长模式.

主要方法:

综合分析了来自10家领先的土壤科学期刊 (2014-2023) 的25888篇研究文章.
作为初级数据分析工具对R存在的定量评估.
在文章中提到的特定R包的识别和频率分析.

主要成果:

在30.5% (7899) 的分析文章中,R被确定为主要的数据分析工具.
R使用率呈现稳定的线性增长,从2014年的13.9%增加到2023年的46.5%.
最常用的R包包括"vegan"",ggplot2"",lme4"",nlme"和"randomForest",使用方式因期刊重点而异.

结论:

研究在现代土壤科学中发挥着关键作用,增强了分析能力.
越来越多地采用R及其包,可以更深入地了解复杂的土壤系统.
土壤科学家越来越多地利用R的统计和可视化优势进行研究.

关键词:

在R包中,R包是R包.R 软件软件软件软件软件土壤生态学土壤生态学土壤日志土壤日志土壤科学土壤科学

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