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	基于CART模型的贵州省贫困空间格局及其影响因素
其他题名	Spatial Pattern of Poverty and Its Influencing Factors Based on CART Model in Guizhou Province
	徐建斌; 宋洁; 曹小曙; 孙峰华
来源期刊	经济地理
ISSN	1000-8462
出版年	2020
卷号	40 期号:6
中文摘要	以贫困形势严峻和地理环境空间异质性显著的贵州省为案例,将分类与回归树(Classification and Regression Tree,CART)模型引入贫困研究,分析了贫困空间格局影响因素并制定了相关对策。结论表明:①贵州省的贫困格局呈现出典型的敞口马蹄形结构,黔东、南和西部地区高而中部及北部较低。②基于CART模型的贵州省贫困影响因素重要性的排序为平均隔离度>路网密度>水域比例>平均偏远度>NDVI>年均降水。③根据CART模型决策规则,对贵州省扶贫攻坚提出以下对策建议:首先,应采取更加精准的易地扶贫和村镇体系规划降低居民点隔离度,确保居民点之间平均隔离度小于4847 m。其次,在居民点距离确定的基础上,应科学改善区域的生产生活用水条件,将水域面积比例尽可能提升至0.8%以上,保障生活用水和生产灌溉,提升水资源承载能力。最后,在确保居民点隔离度改善,水资源丰度提升的前提下,应重视喀斯特石漠化地区的生态保护修复,将县域的NDVI提升至0.45以上,提高区域生态资产,提升贫困社区韧性,将生态保护与脱贫攻坚相结合,促进区域人地关系和谐发展。
英文摘要	Take Guizhou Province as a case area,where poverty is severe,and geospatial heterogeneity is significant.Introduce the Classification and Regression Tree(CART) model into poverty research,analyze the influencing factors of spatial pattern of poverty and formulate relevant countermeasures.The conclusions show:1) The spatial poverty in Guizhou Province presents a typical "central-peripheral" structure,with eastern Guizhou,southern and western regions high,while central and northern regions being low.2) Based on the CART model,the importance of poverty influencing factors in Guizhou is ranked as average isolation degree>road network density>water area proportion>average remoteness>NDVI>annual average precipitation.3) According to the decision rules of the CART model,this study proposes the following countermeasures for poverty alleviation in Guizhou Province:First,more "precise" poverty alleviation relocation and village system planning should be adopted to reduce the isolation of residential areas and ensure that the average isolation between residential areas is less than 4 847 m.Secondly,based on the determination of the residential distance,scientifically improve the conditions of production and living water in the region,increase the area of water area as much as 0.8% as much as possible,protect domestic water and production irrigation,and improve water resource carrying capacity.Finally,on the premise of ensuring the improvement of residential isolation and the increase of water abundance,attention should be paid to ecological protection and restoration in Karst rocky desertification areas,increasing the county's NDVI to above 0.45,increasing regional ecological assets,and improving the resilience of poor communities.Combining ecological protection and poverty alleviation and promoting the harmonious development of regional human-land relations.
中文关键词	贫困 ; 易地扶贫 ; CART模型 ; 喀斯特地貌 ; 水资源承载力 ; 隔离度 ; 生态保护
英文关键词	poverty poverty alleviation relocation Classification and Regression Tree(CART) model Karst landform water resource carrying capacity remoteness ecological protection
类型	Article
语种	中文
收录类别	CSCD
WOS类目	Agriculture
CSCD记录号	CSCD:6753796
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/353634
作者单位	徐建斌, 中山大学地理科学与规划学院, 广州, 广东 510275, 中国. 宋洁, 中山大学地理科学与规划学院, 广州, 广东 510275, 中国. 曹小曙, 陕西师范大学西北国土资源研究中心, 西安, 陕西 710119, 中国. 孙峰华, 鲁东大学环渤海发展研究院, 烟台, 山东 264025, 中国.
推荐引用方式 GB/T 7714	徐建斌,宋洁,曹小曙,等. 基于CART模型的贵州省贫困空间格局及其影响因素[J],2020,40(6).
APA	徐建斌,宋洁,曹小曙,&孙峰华.(2020).基于CART模型的贵州省贫困空间格局及其影响因素.经济地理,40(6).
MLA	徐建斌,et al."基于CART模型的贵州省贫困空间格局及其影响因素".经济地理 40.6(2020).