摘要
随着经济社会的快速发展,动物行为生态学数据的收集方法更趋向于综合化和复杂化,致使获得实验数据信息呈现爆发式增长并不断积累,对深度挖掘实验数据的软件要求越来越高;而常用的数据处理软件很难满足对大数据的充分挖掘和处理,致使许多数据被忽略且可视化效果不佳。将R语言与动物行为生态学课程教学相结合,既能满足学生对可视化分析的需求,又能加深学生对交叉学科知识点的理解。
With the rapid development of economy and society,the collection methods of animal behavioral ecology data tend to be more comprehensive and complex,resulting in the explosive growth and continuous accumulation of experimental data information.The requirements for the software of deeply mining experimental data are higher,while the commonly used data processing software is difficult to meet the fully mining and processing of big data.As a result,a lot of data are ignored and the visualization effect is poor.Combining R language with the course teaching of animal behavioral ecology can not only meet the needs of students for visual analysis,but also deepen students’understanding for the interdisciplinary knowledge points.
作者
汪国海
WANG Guohai(College of Chemistry and Bioengineering,Guangxi Minzu Normal University,Chongzuo 532200,China)
出处
《现代信息科技》
2023年第1期93-95,共3页
Modern Information Technology
基金
广西民族师范学院科研经费支持项目(2021BS002)
广西壮族自治区教育厅第四批民族院校特色学科建设立项建设学科项目(民族生态学)。
