The field of forestry research has greatly benefited from the integration of computational tools and statistical methods in recent years.Among these tools,the programming language R has emerged as a powerful and versatile platform for forestry research,ranging from data analysis,modeling to visualization.However,the key trends in general reported R use and patterns in forestry research remain unknown.We analyzed R and R package usage frequencies for 14 800 research articles published in eight top forestry journals across a span of 10 years,from 2013 to 2022.Among these articles,a notable number of 6790(accounting for 45.7％)explicitly utilized R as their primary tool for data analysis.The adoption of R exhibited a linear growth trend,rising from 28.3％in 2013 to 60.9％in 2022.The top five used packages reported were vegan,Ime4,nIme,MuMIn,and ggplot2.Diverse journals have their unique areas of emphasis,resulting in disparities in the frequency of R package application among journals.The average number of R packages used per article also showed an increasing trend over time.The study underscores the recognition that R,with its powerful data statistical and visualization capabilities,plays a pivotal role in enabling researchers to conduct thorough analyses and acquire comprehensive insights into various aspects of forestry science.
data analysisforestry researchopen sourceR language and R packagesR programming
Jiangshan Lai、Weijie Zhu、Dongfang Cui、Dayong Fan、Lingfeng Mao
展开 >
College of Ecology and Environment,Nanjing Forestry University,Nanjing 210037,China
Research Center of Quantitative Ecology,Nanjing Forestry University,Nanjing 210037,China
College of Forestry,Beijing Forestry University,Beijing 100083,China
数据分析 林业研究 开源 R语言与 R软件包 R编程
国家自然科学基金Jiangsu Social Development ProjectMetasequoia funding of Nanjing Forestry University
NETL
NSTL
万方数据
