title: [Prediction of regional soil quality based on mutual information theory integrated with decision tree algorithm].
abstract: In this paper, some main factors such as soil type, land use pattern, lithology type, topography, road, and industry type that affect soil quality were used to precisely obtain the spatial distribution characteristics of regional soil quality, mutual information theory was adopted to select the main environmental factors, and decision tree algorithm See 5.0 was applied to predict the grade of regional soil quality. The main factors affecting regional soil quality were soil type, land use, lithology type, distance to town, distance to water area, altitude, distance to road, and distance to industrial land. The prediction accuracy of the decision tree model with the variables selected by mutual information was obviously higher than that of the model with all variables, and, for the former model, whether of decision tree or of decision rule, its prediction accuracy was all higher than 80%. Based on the continuous and categorical data, the method of mutual information theory integrated with decision tree could not only reduce the number of input parameters for decision tree algorithm, but also predict and assess regional soil quality effectively.
authors.affiliation: School of Remote Sensing, Nanjing University of Information Science & Technology, Nanjing 210044, China. linfenfang@126.com
authors.forename: Fen-Fang
authors.initials: FF
authors.lastname: Lin
authors.forename: Ke
authors.initials: K
authors.lastname: Wang
authors.forename: Ning
authors.initials: N
authors.lastname: Yang
authors.forename: Shi-Guang
authors.initials: SG
authors.lastname: Yan
authors.forename: Xin-Yu
authors.initials: XY
authors.lastname: Zheng
mesh_terms: D000465:Algorithms; D003663:Decision Trees; D017753:Ecosystem; D004784:Environmental Monitoring; D005544:Forecasting; D011786:Quality Control; D012987:Soil / Q000032:analysis*; D012989:Soil Pollutants / Q000032:analysis
chemical_list: D012987:Soil; D012989:Soil Pollutants