R程序包“rdacca.hp”在生态学数据分析中的应用: 案例与进展
刘尧1,2, 于馨3,4, 于洋5, 胡文浩6, 赖江山1,3,7,*(
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Application of “rdacca.hp” R package in ecological data analysis: case and progress
LIU Yao1,2, YU Xin3,4, YU Yang5, HU Wen-Hao6, LAI Jiang-Shan1,3,7,*()
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图5. 引用“rdacca.hp”包的论文所属的大类学科(红色)、论文中涉及的研究区域或环境类型(绿色)、典范分析的响应变量(蓝色)和解释变量类别(橙色)关键词的共现网络。连线表示关键词的共现关系, 节点大小和连线粗细代表了对应文献的数量。典范分析中解释变量的相对重要性分析均来自“rdacca.hp”包。
Fig. 5. Co-occurrence network of subject (red), study area or environment type (green), response variables (blue) and predictor variables (orange) key words according to published papers citing “rdacca.hp” package. Lines represent the co-occurrence relationship of keywords, node size and line width represent the number of related papers. All of the relative importance of predictors in canonical analysis are from “rdacca.hp” package.
