CHEN Miaojin,WANG Xiaoqin,WU Siying.Importance analysis of soil erosion influencing factors based on random forest[J].,2019,28(04):209-219.[doi:10.13577/j.jnd.2019.0423]





Importance analysis of soil erosion influencing factors based on random forest
陈妙金 汪小钦 吴思颖
福州大学空间数据挖掘和信息共享教育部重点实验室, 卫星空间信息技术综合应用国家地方联合工程研究中心, 福建 福州 350116
CHEN Miaojin WANG Xiaoqin WU Siying
Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, National Eng. Research Center of Satellite Spatial Information Technology, Fuzhou University, Fuzhou 350116, China
soil erosionimportance of factorsrandom forestmean decrease accuracymean decrease Gini
Soil erosion is caused by many factors, so it is meaningful to determine the factors of soil erosion. This paper took Fujian Province as an example, and used the random forest algorithm and the data of soil erosion grades, the annual cumulative rainfall, soil type, slope gradient, slope length, vegetation coverage and land cover types that lead to soil erosion to determine the importance of elements by adding the normalization of MDA and MDG, which was also compared with MDA and MDG ranking assignment method. The results show that the random forest algorithm is suitable to analyze the importance of factors affecting soil erosion. The MDA and MDG normalized summation method is better than the ordinal ranking assignment method in characterizing the importance of factors, which can not only distinguish the relative importance of factors, but also quantitatively express the significance of differences among factors. Among the six factors analyzed, vegetation coverage is the most important, followed by topographic features. And soil types have a weak influence on the importance of soil erosion, which is consistent with the existing experimental and research results. Vegetation coverage has a great advantage in judging the relationship between loss-free and other loss levels, which is more than twice of the second.


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