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Analyzing Population Density Disparity in China with GIS-automated Regionalization: The Hu Line Revisited

WANG Fahui LIU Cuiling XU Yaping

WANG Fahui, LIU Cuiling, XU Yaping. Analyzing Population Density Disparity in China with GIS-automated Regionalization: The Hu Line Revisited[J]. 中国地理科学, 2019, 20(4): 541-552. doi: 10.1007/s11769-019-1054-y
引用本文: WANG Fahui, LIU Cuiling, XU Yaping. Analyzing Population Density Disparity in China with GIS-automated Regionalization: The Hu Line Revisited[J]. 中国地理科学, 2019, 20(4): 541-552. doi: 10.1007/s11769-019-1054-y
WANG Fahui, LIU Cuiling, XU Yaping. Analyzing Population Density Disparity in China with GIS-automated Regionalization: The Hu Line Revisited[J]. Chinese Geographical Science, 2019, 20(4): 541-552. doi: 10.1007/s11769-019-1054-y
Citation: WANG Fahui, LIU Cuiling, XU Yaping. Analyzing Population Density Disparity in China with GIS-automated Regionalization: The Hu Line Revisited[J]. Chinese Geographical Science, 2019, 20(4): 541-552. doi: 10.1007/s11769-019-1054-y

Analyzing Population Density Disparity in China with GIS-automated Regionalization: The Hu Line Revisited

doi: 10.1007/s11769-019-1054-y
详细信息
    通讯作者:

    WANG Fahui.E-mail:fwang@lsu.edu

Analyzing Population Density Disparity in China with GIS-automated Regionalization: The Hu Line Revisited

More Information
    Corresponding author: WANG Fahui.E-mail:fwang@lsu.edu
  • 摘要: The famous ‘Hu Line’, proposed by Hu Huanyong in 1935, divided China into two regions (southeast and northwest) of comparable area size but drastically different in population. However, the classic Hu Line was derived manually in absence of reliable census data and computational technologies of modern days. It has been subject to criticism of lack of scientific rigor and accuracy. This research uses a GIS-automated regionalization method, termed REDCAP (Regionalization with Dynamically Constrained Agglomerative Clustering and Partitioning), to reconstruct the demarcation line based on the 2010 county-level census data in China. The results show that the logarithmic transformation of population density is a better measure of attributive homogeneity in derived regions than density itself, and produces two regions of nearly identical area size and greater contrast in population. Specifically, the revised Hu Line by Hu Huanyong in 1990 had the southeast region with 94.4% of total population and 42.9% of total land, and our delineation line yields a southeast region with 97.4% population and 50.8% land. Therefore, the population density ratio of the two regions is 27.1 by our line, much higher than the ratio of 22.4 by the Hu Line, and thus outperforms the Hu Line in deriving regions of maximum density contrast with comparable area size. Furthermore, more regions are delineated to further advance our understanding of population distribution disparity in China.
  • [1] Alexander J W, 1948. The prewar population of China:distribution and density. Annals of the Association of American Geographers, 38(1):1-5. doi: 10.2307/2560922
    [2] Boluwade A, Madramootoo C, Yari A, 2016. Application of unsupervised clustering techniques for management zone delineation:case Study of variable rate irrigation in Southern Alberta, Canada. Journal of Irrigation and Drainage Engineering, 142(1):05015007. doi:10.1061/(ASCE)IR. 1943-4774. 0000936
    [3] Chen Z, Wang J N, Ma G X et al., 2013. China tackles the health effects of air pollution. The Lancet, 382(9909):1959-1960. doi: 10.1016/S0140-6736(13)62064-4
    [4] China Statistical Bureau, 2010. China Statistical Yearbook 2010. Beijing:China Statistics Press. (in Chinese)
    [5] Deng Mingjiang, 2018. "Three Water Lines" strategy:its spatial patterns and effects on water resources allocation in northwest China. Acta Geographica Sinica, 73(7):1189-1203. (in Chinese)
    [6] Duque J C, Ramos R, Surinach J, 2007. Supervised regionalization methods:a survey. International Regional Science Review, 30(3):195-220. doi:10.1177/01600176073 01605
    [7] Everitt B S, Landau S, Leese M, 2001. Cluster Analysis (4th ed). London Arnold.
    [8] Gao Xiangdong, Wang Xinxian, Zhu Beiqian, 2016. Distribution and change of the ethnic minority population in China:a "Hu Line" perspective. Population Research, 40(3):3-17. (in Chinese)
    [9] Guo Diansheng, 2008. Regionalization with dynamically constrained agglomerative clustering and partitioning (REDCAP). International Journal of Geographical Information Science, 22:801-823. doi: 10.1080/13658810701674970
    [10] Guo Diansheng, Wang Hu, 2011. Automatic region building for spatial analysis. Transactions in GIS, 15(s1):29-45. doi:10. 1111/j.1467-9671.2011.01269.x
    [11] Guo H D, Wang X Y, Wu B F et al., 2016. Cognizing population density demarcative line (Hu Huanyong-Line) based on space technology. Bulletin of Chinese Academy of Sciences, 31(12):1385-1394. (in Chinese)
    [12] He Canfei, Chen Tianming, Mao Xiyan et al., 2016. Economic transition, urbanization and population redistribution in China. Habitat International, 51:39-47. doi:10.1016/j.habitatint. 2015.10.006
    [13] Hu Huanyong, 1935. Distribution of China's population:Accompanying charts and density map. Acta Geographica Sinica, 2(2):33-74. (in Chinese)
    [14] Hu Huanyong, 1990. The distribution, regionalization and prospect of China's population. Acta Geographica Sinica, 45(2):139-145. (in Chinese)
    [15] Jin X, Zhang L H, Gu J et al., 2015. Modelling the impacts of spatial heterogeneity in soil hydraulic properties on hydrological process in the upper reach of the Heihe River in the Qilian Mountains, Northwest China. Hydrological Processes, 29(15):3318-3327.
    [16] Kupfer J A, Gao P, Guo D S, 2012. Regionalization of forest pattern metrics for the continental United States using contiguity constrained clustering and partitioning. Ecological Informatics, 9:11-18.
    [17] Liu C L, Wang F H, Xu Y P, 2019. Habitation environment suitability and population density patterns in China:a regionalization approach. Growth and Change:A Journal of Urban and Regional Policy, 50(1):184-200. doi: 10.1111/grow.12283
    [18] Liu Wangbao, Shi Enming, 2016. Spatial pattern of population daily flow among cities based on ICT:a case study of "Baidu Migration". Acta Geographica Sinica, 71(10):1667-1679. (in Chinese)
    [19] Lu Dadao, Wang Zheng, Feng Zhiming et al., 2016. Academic debates on Hu Huanyong population line. Geographical Research, 35(5):805-824. (in Chinese)
    [20] Lu Zheng, Huang Qunhui, Lu Tie et al., 2005. Process and problems of industrialization and urbanization in China. China Industrial Economy, 12:5-13.
    [21] Mu Lan, Wang Fahui, Chen V W et al. 2015. A place-oriented, mixed-level regionalization method for constructing geographic areas in health data dissemination and analysis. Annals of the Association of American Geographers, 105:48-66. doi: 10.1080/00045608.2014.968910
    [22] Qi Wei, Liu Shenghe, Zhao Meifeng, 2015. Study on the stability of Hu Line and different spatial patterns of population growth on its both sides. Acta Geographica Sinica, 70(4):551-566. (in Chinese)
    [23] Shan Zhiqiang, 2009. China's mutant line:Hu Line. Chinese National Geography, (10):288-301. (in Chinese)
    [24] State Council of China, 2008. Coordinated Regional Development Strategy and Policy. Report by the Development Research Center of the State Council, Beijing. (in Chinese)
    [25] The World Bank, 2007. Cost of Pollution in China:Economic Estimates of Physical Damages. Washington, DC:The World Bank.
    [26] Wang Fahui, 2001. Regional density functions and growth patterns in major plains of China, 1982-90. Regional Science, 80(2):231-240.
    [27] Wang Fahui, 2015. Quantitative Methods and Socio-Economic Applications in GIS (2nd ed.). Boca Raton, FL:CRC Press.
    [28] Wang Fahui, Robert L K, 2015. Constructing geographic areas by REDCAP and MLR for analysis of homicide rates:a case study of New Orleans, Louisiana. Applied Geography, 1(4):295-306.
    [29] Wang Fahui, Guo Diansheng, McLafferty S, 2012. Constructing geographic areas for cancer data analysis:a case study on late-stage breast cancer risk in Illinois. Applied Geography, 35(1-2):1-11. doi: 10.1016/j.apgeog.2012.04.005
    [30] Wang Kaiyong, Deng Yu, 2016. Can new urbanization break through the Hu Huanyong Line? Further discussion on the geographical connotations of the Hu Huanyong Line. Geographical Research, 35(5):825-835. (in Chinese)
    [31] Wang Mi, Dong Zhipeng, Cheng Yufeng et al., 2018. Optimal segmentation of high-resolution remote sensing image by combining superpixels with the minimum spanning tree. IEEE Transactions on Geoscience and Remote Sensing, 56:228-238. doi: 10.1109/TGRS.2017.2745507
    [32] Wang Zhenbo, Fang Chuanglin, Xu Guang et al., 2015. Spatial-temporal characteristics of the PM2.5 in China in 2014. Acta Geographica Sinica, 70(11):1720-1734. (in Chinese)
    [33] WHO, 2009. Country profile of environmental burden of disease:China. Available at:http://www.who.int/quantifying_ehimpacts/national/countryprofile/china.pdf?ua=1
    [34] Xu P P, Huang H L, Dong N et al., 2014. Sensitivity analysis in the context of regional safety modeling:Identifying and assessing the modifiable areal unit problem. Accident Analysis and Prevention, 70:110-120.
    [35] Yang Qiang, Li Li, Wang Yundong et al., 2016. Spatial distribution pattern of population and characteristics of its evolution in China during 1935-2010. Geographical Research, 35(8):1547-1560. (in Chinese)
    [36] Yu Fang, Ma Guoxia, Qi Ji et al., 2012. Report of China's Environmental-economic Accounting in 2007-2008. Beijing:China Environmental Science Press. (in Chinese)
    [37] Yuan Huarong, 1993. Study on the rationality of Chinese population distribution. Geographical Research, 12(3):64-69. (in Chinese)
    [38] Zheng Xiaobo, Luo Yuxiang, Zhao Tianliang et al., 2012. Geographical and climatological characterization of aerosol distribution in China. Scientia Geographica Sinica, 32(3):265-272. (in Chinese)
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  • 收稿日期:  2019-03-01
  • 修回日期:  2018-11-10
  • 刊出日期:  2019-08-27

Analyzing Population Density Disparity in China with GIS-automated Regionalization: The Hu Line Revisited

doi: 10.1007/s11769-019-1054-y
    通讯作者: WANG Fahui.E-mail:fwang@lsu.edu

摘要: The famous ‘Hu Line’, proposed by Hu Huanyong in 1935, divided China into two regions (southeast and northwest) of comparable area size but drastically different in population. However, the classic Hu Line was derived manually in absence of reliable census data and computational technologies of modern days. It has been subject to criticism of lack of scientific rigor and accuracy. This research uses a GIS-automated regionalization method, termed REDCAP (Regionalization with Dynamically Constrained Agglomerative Clustering and Partitioning), to reconstruct the demarcation line based on the 2010 county-level census data in China. The results show that the logarithmic transformation of population density is a better measure of attributive homogeneity in derived regions than density itself, and produces two regions of nearly identical area size and greater contrast in population. Specifically, the revised Hu Line by Hu Huanyong in 1990 had the southeast region with 94.4% of total population and 42.9% of total land, and our delineation line yields a southeast region with 97.4% population and 50.8% land. Therefore, the population density ratio of the two regions is 27.1 by our line, much higher than the ratio of 22.4 by the Hu Line, and thus outperforms the Hu Line in deriving regions of maximum density contrast with comparable area size. Furthermore, more regions are delineated to further advance our understanding of population distribution disparity in China.

English Abstract

WANG Fahui, LIU Cuiling, XU Yaping. Analyzing Population Density Disparity in China with GIS-automated Regionalization: The Hu Line Revisited[J]. 中国地理科学, 2019, 20(4): 541-552. doi: 10.1007/s11769-019-1054-y
引用本文: WANG Fahui, LIU Cuiling, XU Yaping. Analyzing Population Density Disparity in China with GIS-automated Regionalization: The Hu Line Revisited[J]. 中国地理科学, 2019, 20(4): 541-552. doi: 10.1007/s11769-019-1054-y
WANG Fahui, LIU Cuiling, XU Yaping. Analyzing Population Density Disparity in China with GIS-automated Regionalization: The Hu Line Revisited[J]. Chinese Geographical Science, 2019, 20(4): 541-552. doi: 10.1007/s11769-019-1054-y
Citation: WANG Fahui, LIU Cuiling, XU Yaping. Analyzing Population Density Disparity in China with GIS-automated Regionalization: The Hu Line Revisited[J]. Chinese Geographical Science, 2019, 20(4): 541-552. doi: 10.1007/s11769-019-1054-y
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