期刊论文

Measurement of cultivated land utilization efficiency:Construction and application of random forest

中文

自然资源学报

1000-3037

2019

34

6

1331-1344

10.31497/zrzyxb.20190617

国家自然科学基金项目(71673096) 国家社会科学基金项目(16CGL054).

本校为其他机构

构建合适的量化分析模型是科学把握耕地利用状况及利用效率的基础性工作,可为制定合理有效的耕地资源管控政策,实现耕地利用与生态环境的协调发展提供决策依据。为了更准确地反映耕地利用系统的复杂性、动态性及差异性等特征,鉴于随机森林的基本思想,运用随机抽样Bootstrap法在合理构建分类树的基础上,构造了耕地利用效率测度的RF模型,进而以中国粮食主产区172个城市为例训练该模型并将其运用至2003-2015年的耕地利用效率测度中,同时将BP神经网络和熵权法作为对比验证其一致性、代表性和优越性。结果表明:(1)耕地利用效率测度的RF模型不受量纲限制,运行所需参数少,运算过程简化,能够较为精确地模...

Setting up a suitable quantitative analysis model is a basic work for scientific grasp of cultivated land utilization efficiency and its distribution pattern,and can provide reasonable decision- making basis for sustainable utilization of cultivated land then realizing the coordinated development of cultivated resources and environment.In order to effectively describe the complexity,dynamics and heterogeneity characteristics of cultivated land use system,a random forest (RF) model for measuring cultivated land utilization efficiency is constructed by applying random sampling Bootstrap to build...