[2] 丁建军, 冷志明. 区域贫困的地理学分析[J]. 地理学报, 2018,73(2):232-247. [ Ding JJ, Leng ZM. Regional poverty analysis in a view of geography science[J]. Acta Geographica Sinica, 2018,73(2):232-247. ] [ Ding J J, Leng Z M. Regional poverty analysis in a view of geography science[J]. Acta Geographica Sinica, 2018,73(2):232-247. ]
[3] 刘艳华, 徐勇. 中国农村多维贫困地理识别及类型划分[J]. 地理学报, 2015,70(6):993-1007. [ Liu YH, XuY. Geographical identification and classification ofmulti-dimensional poverty in rural China[J]. Acta Geographica Sinica, 2015,70(6):993-1007. ] [ Liu Y H, Xu Y. Geographical identification and classification ofmulti-dimensional poverty in rural China[J]. Acta Geographica Sinica, 2015,70(6):993-1007. ]
[4] 王艳慧, 钱乐毅, 段福洲. 县级多维贫困度量及其空间分布格局研究——以连片特困区扶贫重点县为例[J]. 地理科学, 2013,33(12):1489-1497. [ Wang YH, Qian LY, Duan FZ. Study on county-level multidimensional poverty measurement and its spatial distribution pattern: A case study of poverty alleviation key counties in contiguous poverty-stricken areas[J]. Scientia Geograohica Sinica, 2013,33(12):1489-1497. ] [ Wang Y H, Qian L Y, Duan F Z.Study on county-level multidimensional poverty measurement and its spatial distribution pattern: A case study of poverty alleviation key counties in contiguous poverty-stricken areas[J]. Scientia Geograohica Sinica, 2013,33(12):1489-1497. ]
[5] 邹薇, 方迎风. 怎样测度贫困:从单维到多维[J]. 国外社会科学, 2012,2(7):63-69. [ ZouW, Fang YF. How to measure poverty:from single dimension to multi-dimension[J]. Foreign Social Sciences, 2012,2(7):63-69. ] [ Zou W, Fang Y F. How to measure poverty:from single dimension to multi-dimension[J]. Foreign Social Sciences, 2012,2(7):63-69. ]
[6] 贾林瑞, 刘彦随, 刘继来, 等. 中国集中连片特困地区贫困户致贫原因诊断及其帮扶需求分析[J]. 人文地理, 2018,33(1):85-93. [ Jia LR, Liu YS, Liu JL, et al. Cause diagnosis and demand analysis of poverty-stricken households in contiguous poverty-stricken areas in China[J]. Human Geography, 2018,33(1):85-93. ] [ Jia L R, Liu Y S, Liu J L, et, al. Cause diagnosis and demand analysis of poverty-stricken households in contiguous poverty-stricken areas in China[J]. Human Geography, 2018,33(1):85-93. ]
[7] 李平. 东北贫困区多维致贫因素评价及实证分析[J]. 统计与决策, 2019,35(7):93-96. [ LiP. Evaluation and empirical analysis of multidimensionalfactors contributing to poverty in northeast poverty-stricken areas[J]. Statistics and Decision-making, 2019,35(7):93-96. ] [ Li P. Evaluation and empirical analysis of multidimensionalfactors contributing to poverty in northeast poverty-stricken areas[J]. Statistics and Decision-making, 2019,35(7):93-96. ]
[8] 张琦, 陈伟伟. 连片特困地区扶贫开发成效多维动态评价分析研究——基于灰色关联分析法角度[J]. 云南民族大学学报(哲学社会科学版), 2015,32(1):136-142. [ ZhangQ, Chen WW. Multidimensional dynamic evaluation and analysis of poverty alleviation effect in contiguous poverty-stricken areas: Based on the perspective of gray correlation analysis[J]. Journal of Yunnan university for Nationalities (philosophy and social sciences edition), 2015,32(1):136-142. ] [ Zhang Q, Chen W W. Multidimensional dynamic evaluation and analysis of poverty alleviation effect in contiguous poverty-stricken areas: Based on the perspective of gray correlation analysis[J]. Journal of Yunnan university for Nationalities (philosophy and social sciences edition), 2015,32(1):136-142. ]
[9] 毛婧瑶, 葛咏, 赵中秋, 等. 武陵山贫困片区扶贫成效评价与空间格局分析[J]. 地球信息科学学报, 2016,18(3):334-342. [ Mao JY, GeY, Zhao ZQ, et al. Poverty alleviation evaluation and spatial pattern analysis of Wuling Mountain[J]. Journal of Geo- information Science, 2016,18(3):334-342. ] [ Mao J Y, Ge Y, Zhao Z Q, et al. Poverty alleviation evaluation and spatial pattern analysis of Wuling Mountain[J]. Journal of Geo- information Science, 2016,18(3):334-342. ]
[10] 陈烨烽, 王艳慧, 王小林. 中国贫困村测度与空间分布特征分析[J]. 地理研究, 2016,35(12):2298-2308. [ Ceng YF, Wang YH, Wang XL. Measurement and spatial analysis of poverty-stricken villages in China[J]. Geographical Research, 2016,35(12):2298-2308. ] [ Ceng Y F, Wang Y H, Wang X L. Measurement and spatial analysis of poverty-stricken villages in China[J]. Geographical Research, 2016,35(12):2298-2308. ]
[11] 袁媛, 伍彬, 古叶恒. 重庆市城市贫困空间特征和影响因素研究——兼论东西部城市的异同[J]. 人文地理, 2015,30(1):70-77. [ YuanY, WuB, Gu YH. Study on the spatial characteristics and influencing factors of urban poverty in Chongqing--on the similarities and differences between eastern and western cities[J]. Human Geography, 2015,30(1):70-77. ] [ Yuan Y, Wu B, Gu Y H. Study on the spatial characteristics and influencing factors of urban poverty in Chongqing on the similarities and differences between eastern and western cities[J]. Human Geography, 2015,30(1):70-77. ]
[12] 文琦, 施琳娜, 马彩虹等. 黄土高原村域多维贫困空间异质性研究——以宁夏彭阳县为例[J]. 地理学报, 2018,73(10):1850-1864. [ WenQ, Shi LN, Ma CH, et al. Spatial heterogeneity of multidimensional poverty in villages on loess plateau: A case study of Pengyang county, Ningxia[J]. Acta Geo-graphica Sinica, 2008,73(10):1850-1864. ] [ Wen Q, Shi L N, Ma C H, et al. Spatial heterogeneity of multidimensional poverty in villages on loess plateau: A case study of Pengyang county, Ningxia[J]. Acta Geo-graphica Sinica, 2008,73(10):1850-1864. ]
[13] 徐孝勇, 封莎. 中国14个集中连片特困地区自我发展能力测算及时空演变分析[J]. 经济地理, 2017,37(11):151-160. [ Xu XY, FengS. Measurement of self-development capacity and spatio-temporal evolution of 14 contiguous poverty-stricken areas in China[J]. Economic Geography, 2015,30(1):70-77. ] [ Xu X Y, Feng S. Measurement of self-development capacity and spatio-temporal evolution of 14 contiguous poverty-stricken areas in China[J]. Economic Geography, 2015,30(1):70-77. ]
[14] 童新华, 梁俏, 韦燕飞. 广西县域贫困空间格局及影响因素分析[J]. 农村经济与科技, 2018,29(13):1-6. [ Tong XH, LiangQ, Wei YF. Spatial pattern and influencing factors of poverty in Guangxi counties[J]. Rural Economy And Technology, 2008,29(13):1-6. ] [ Tong X H, Liang Q, Wei Y F. Spatial pattern and influencing factors of poverty in Guangxi counties[J]. Rural Economy And Technology, 2008,29(13):1-6. ]
[15] 王永明, 王美霞, 吴殿廷, 等. 贵州省乡村贫困空间格局与形成机制分析[J]. 地理科学, 2017,37(2):217-227. [ Wang YM, Wang MX, Wu DT, et al. Analysis of spatial pattern and formation mechanism of rural poverty in Guizhou province[J]. Scientia Geographica Sinica, 2017,37(2):217-227. ] [ Wang Y M, Wang M X, Wu D T, et al. Analysis of spatial pattern and formation mechanism of rural poverty in Guizhou province[J]. Scientia Geographica Sinica, 2017,37(2):217-227. ]
[16] 丁建军. 中国11个集中连片特困区贫困程度比较研究——基于综合发展指数计算的视角[J]. 地理科学, 2014,34(12):1418-1427. [ Ding JJ. Comparative study on poverty degree in 11 contiguous poverty-stricken areas in China: From the perspective of comprehensive development index calculation[J]. Scientia Geographica Sinica, 2014,34(12):1418-1427. ] [ Ding J J. Comparative study on poverty degree in 11 contiguous poverty-stricken areas in China: From the perspective of comprehensive development index calculation[J]. Scientia Geographica Sinica, 2014,34(12):1418-1427. ]
[17] 周蕾, 熊礼阳, 王一晴, 等. 中国贫困县空间格局与地形的空间耦合关系[J]. 经济地理, 2017,37(10):157-166. [ ZhouL, Xiong LY, Wang YQ, et al. Comparative study on poverty degree in 11 contiguous poverty-stricken areas in China: From the perspective of comprehensive development index calculation[J]. Economic Geography, 2017,37(10):157-166. ] [ Zhou L, Xiong L Y, Wang Y Q, et al. Comparative study on poverty degree in 11 contiguous poverty-stricken areas in China: From the perspective of comprehensive development index calculation[J]. Economic Geography, 2017,37(10):157-166. ]
[18] 迟瑶, 王艳慧, 房娜. 连片特困区贫困县农村基本公共服务与县域经济时空格局演变关系研究[J]. 地理研究, 2016,35(7):1243-1258. [ ChiY, Wan YH, FangN. Spatio-temporal pattern of rural basic public services and county economy in poverty-stricken contiguous destitute areas of China[J]. Geographical Research, 2016,35(7):1243-1258. ] [ Chi Y, Wan Y H, Fang N. Spatio-temporal pattern of rural basic public services and county economy in poverty-stricken contiguous destitute areas of China[J]. Geographical Research, 2016,35(7):1243-1258. ]
[19] 罗庆, 樊新生, 高更和, 等. 秦巴山区贫困村的空间分布特征及其影响因素[J]. 经济地理, 2016,36(4):126-132. [ LuoQ, Fan XS, Gao GH, et al. Spatial distribution characteristics and influencing factors of poor villages in Qinba mountains[J]. Economic Geography, 2016,36(4):126-132. ] [ Luo Q, Fan X S, Gao G H, et al. Spatial distribution characteristics and influencing factors of poor villages in Qinba mountains[J]. Economic Geography,2016,36(4):126-132. ]
[20] 黄国勇, 张敏, 夏咏, 等. 新疆边境贫困县自然地理环境影响因素实证分析[J]. 干旱区地理, 2015,38(4):814-820. [ Huang GY, ZhangM, XiaW, et al. An empirical analysis of the factors affecting the physical geographical environment of poverty-stricken counties in Xinjiang border areas[J]. Arid Land Geography, 2015,38(4):814-820. ] [ Huang G Y, Zhang M, Xia W, et al. An empirical analysis of the factors affecting the physical geographical environment of poverty-stricken counties in Xinjiang border areas[J]. Arid Land Geography,2015,38(4):814-820. ]
[21] 陈烨烽, 王艳慧, 赵文吉, 等. 中国贫困村致贫因素分析及贫困类型划分[J]. 地理学报, 2017,72(10):1827-1844. [ Chen YF, Wang YH, Zhao WJ, et al. Analysis of factors contributing to poverty in poor villages in China and classification of poverty types[J]. Acta Geographica Sinica, 2017,72(10):1827-1844. ] [ Chen Y F, Wang Y H, Zhao W J, et al. Analysis of factors contributing to poverty in poor villages in China and classification of poverty types[J]. Acta Geographica Sinica, 2017,72(10):1827-1844. ]
[22] 武鹏, 李同昇, 李卫民. 县域农村贫困化空间分异及其影响因素——以陕西山阳县为例[J]. 地理研究, 2018,37(3):593-606. [ WuP, Li TS, Li WM. Spatial differentiation of rural poverty in county area and its influencing factors: A case study of Shanyang County in Shanxi province[J]. Geography Research, 2018,37(3):593-606. ] [Wu P, Li T S, Li W M. Spatial differentiation of rural poverty in county area and its influencing factors: A case study of Shanyang County in Shanxi province[J]. Geography Research, 2018,37(3):593-606. ]
[23] 马雄威. 线性回归方程中多重共线性诊断方法及其实证分析[J]. 华中农业大学学报(社会科学版), 2008(2):78-81,85. [ Ma XW. Diagnosis method and empirical analysis of multicollinearity in linear regression equation[J]. Journal of Huazhong Agricultural University (social science edition), 2008(2):78-81,85. ] [ Ma X W. Diagnosis method and empirical analysis of multicollinearity in linear regression equation[J]. Journal of Huazhong Agricultural University (social science edition), 2008(2):78-81,85. ]
[24] 李平. 东北贫困区多维致贫因素评价及实证分析[J]. 统计与决策, 2019,35(7):93-96. [ LiP. Evaluation and empirical analysis of multidimensional factors contributing to poverty in northeast poverty-stricken areas[J]. Statistics And Decision-making, 2019,35(7):93-96. ] [ Li P. Evaluation and empirical analysis of multidimensional factors contributing to poverty in northeast poverty-stricken areas[J]. Statistics And Decision-making, 2019,35(7):93-96. ]
[25] 李严洁. 多元回归中的多重共线性及其存在的后果[J]. 中国卫生统计, 1992(1):24-27. [ Li YJ. Multicollinearity in multiple regression and its consequences[J]. China Health Statistics, 1992(1):24-27. ] [ Li Y J. Multicollinearity in multiple regression and its consequences[J]. China Health Statistics,1992(1):24-27. ]
[26] Exploring the impact of non-normality on spatial non-stationarity in geographically weighted regression analyses: Tobacco outlet density in New Jersey[J]. Giscience & Remote Sensing, 46, 329-346(2009).
[27] Book Review: Regression Diagnostics: Identifying Influential Data and Sources of Collinearity[J]. Journal of Quality Technology, 198148, 1044-1044.
[28] 肖雪梦, 张应应. 三种回归方法在消除多重共线性及预测结果的比较[J]. 统计与决策, 2015(24):75-78. [ Xiao XM, Zhang YY. Comparison of three regression methods in eliminating multicollinearity and prediction results[J]. Statistics And Decision Making, 2015(24):75-78. ] [ Xiao X M, Zhang Y Y. Comparison of three regression methods in eliminating multicollinearity and prediction results[J]. Statistics And Decision Making, 2015(24):75-78. ]
[29] 谢小韦. 浅析多元线性回归中多重共线性问题的三种解决方法[J]. 科技信息, 2009(28):117-118. [ Xie XW. Three solutions to multicollinearity problems in multiple linear regression[J]. Science and Technology Information, 2009(28):117-118. ] [ Xie X W. Three solutions to multicollinearity problems in multiple linear regression[J]. Science and Technology Information, 2009(28):117-118. ]
[30] 张润楚. 多元统计分析[M]. 北京: 科学出版社, 2006. [ Zhang RC. Multivariate statistical analysis[M]. Beijing: Science Press, 2006. ] [ Zhang R C. Multivariate statistical analysis[M]. Beijing: Science Press, 2006. ]
[31] A computer movie simulating urban growth in the Detroit region[J]. Economic geography, 46, 234-240(1970).
[32] 张松林, 张昆. 全局空间自相关Moran指数和G系数对比研究[J]. 中山大学学报(自然科学版), 2007,46(4):93-97. [ Zhang SL, ZhangK. Comparative study on global autocorrelation Moran index and G coefficient[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2007,46(4):93-97. ] [ Zhang S L, Zhang K. Comparative study on global autocorrelation Moran index and G coefficient[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2007,46(4):93-97. ]
[33] 宋鸿, 陈晓玲. 运用空间自相关分析中国入境旅游增长空间格局[J]. 世界地理研究, 2006(1):99-106. [ SongH, Chen XL. Spatial autocorrelation analysis of China's inbound tourism growth spatial pattern[J]. World Geography Research, 2006(1):99-106. ] [ Song H, Chen X L. Spatial autocorrelation analysis of China's inbound tourism growth spatial pattern[J]. World Geography Research, 2006(1):99-106. ]
