基于NPP/VIIRS夜间灯光数据的黄淮海地区城乡常住人口格局模拟
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摘要
以黄淮海传统农区为研究区,利用NPP/VIIRS夜间灯光数据、土地利用数据和人口统计资料,基于城乡人口活动状态及其空间特征,构建城乡常住人口空间化模型,模拟区域城乡常住人口分布,探究城乡人口空间格局特征。结果表明:基于NPP/VIIRS夜间灯光数据和土地利用数据构建的人口空间化模型,拟合优度为0. 80,精度检验平均误差为15. 6%,模拟精度高,适用性较好;模拟结果能够直观反映黄淮海地区人口集疏特征及县域城乡常住人口分布差异特征,真实展现局地微观尺度城乡常住人口实际分布状况;黄淮海地区城乡常住人口在空间上呈现"总体差异显著、局地内部均衡"的特征,区域尺度上城市地区集聚显著,局地尺度上县域和乡镇内部人口分布相对均衡。模拟结果可为区域城镇村空间布局优化和城乡公共服务设施配置提供参考。
Taking the traditional farming area in Huang-Huai-Hai area as the study area,a population spatial model was built by using the data of NPP/VIIRS night light,land use and demography to simulate the distribution of resident population in urban and rural area and explore the spatial distribution characteristics of urban and rural population. The result indicates that:( 1) The population spatialization model based on NPP/VIIRS night light data and land use data has a goddess of fit of 0. 80 and an average error of accuracy test is 15. 6%,which suggests high fitting degree and strong applicability.( 2) The spatial distribution pattern of population can directly reflect the characteristics of population agglomeration in Huang-Huai-Hai area and the differences of resident population in counties,as well as show the actual distribution of urban and rural resident population on the local scale;( 3) The resident population in Huang-Huai-Hai area presents a characteristics of "the overall difference is significant,the internal of local area is balanced"in space,manifesting population aggregation in urban and relatively balanced in county.
Taking the traditional farming area in Huang-Huai-Hai area as the study area,a population spatial model was built by using the data of NPP/VIIRS night light,land use and demography to simulate the distribution of resident population in urban and rural area and explore the spatial distribution characteristics of urban and rural population. The result indicates that:( 1) The population spatialization model based on NPP/VIIRS night light data and land use data has a goddess of fit of 0. 80 and an average error of accuracy test is 15. 6%,which suggests high fitting degree and strong applicability.( 2) The spatial distribution pattern of population can directly reflect the characteristics of population agglomeration in Huang-Huai-Hai area and the differences of resident population in counties,as well as show the actual distribution of urban and rural resident population on the local scale;( 3) The resident population in Huang-Huai-Hai area presents a characteristics of "the overall difference is significant,the internal of local area is balanced"in space,manifesting population aggregation in urban and relatively balanced in county.
引文
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[2]刘盛和,胡章,邓羽.基于区域差异类型的流动人口快速监测方法[J].地理研究,2011,30(4):676-686.
[3]柏中强,王卷乐,杨飞.人口数据空间化研究综述[J].地理科学进展,2013,32(11):1692-1702.
[4]胡云锋,王倩倩,刘越,等.国家尺度社会经济数据格网化原理和方法[J].地球信息科学学报,2011,13(5):573-578.
[5]黄向球,苗长虹,麻永建,等.河南省流动人口的空间格局及其对人口分布的影响[J].地域研究与开发,2014,33(4):142-147.
[6]刘望保,石恩名.基于ICT的中国城市间人口日常流动空间格局——以百度迁徙为例[J].地理学报,2016,71(10):1667-1679.
[7]淳锦,张新长,黄健锋,等.基于POI数据的人口分布格网化方法研究[J].地理与地理信息科学,2018,34(4):83-89.
[8]王贤文,王虹茵,李清纯.基于地理位置大数据的京津冀城市群短期人口流动研究[J].大连理工大学学报(社会科学版),2017,38(2):105-113.
[9]赵利利,孟芬,马才学.基于多源遥感数据的武汉市人口空间分布格局演化[J].地域研究与开发,2016,35(3):165-169.
[10] ZHUO L,ICHINOSE T,ZHENG J,et al. Modelling the Population Density of China at the Pixel Level Based on DMSP/OLS Non-radiance-calibrated Night-time Light Images[J]. International Journal of Remote Sensing,2009,30(4):1003-1018.
[11]刘焕金.基于多源数据的太湖流域人口空间化研究[D].南京:南京农业大学,2012.
[12] MA T,ZHOU Y K,WANG Y J,et al. Diverse Relationships between Suomi-NPP VIIRS Night-time Light and Multi-scale Socioeconomic Activity[J]. Remote Sensing Letters,2014,5(7):652-661.
[13] LO C P. Modeling the Population of China Using DMSP Operational Linescan System Nighttime Data[J]. Photogrammetric Engineering&Remote Sensing,2001,67(9):1037-1048.
[14] LEVIN N,DUKE Y.High Spatial Resolution Night-time Light Images for Demographic and Socio-economic Studies[J]. Remote Sensing of Environment,2012,119(3):1-10.
[15] LI X,XU H M,CHEN X L,et al. Potential of NPP-VIIRS Nighttime Light Imagery for Modeling the Regional Economy of China[J]. Remote Sensing,2013,5(6):3057-3081.
[16] LIU Y S,LIU Y,CHEN Y F,et al. The Process and Driving Forces of Rural Hollowing in China under Rapid Urbanization[J].Acta Geographica Sinica,2010,20(6):876-888.
[17]刘纪远,宁佳,匡文慧,等. 2010—2015年中国土地利用变化的时空格局与新特征[J].地理学报,2018,73(5):789-802.
[18]胡云锋,赵冠华,张千力.基于夜间灯光与LUC数据的川渝地区人口空间化研究[J].地球信息科学学报,2018,20(1):68-78.
[19] KYBA C,GARZ S,KUECHLY H,et al. High-resolution Imagery of Earth at Night:New Sources,Opportunities and Challenges[J]. Remote Sensing,2014,7(1):1-23.
[20]陈晴,侯西勇.集成土地利用数据和夜间灯光数据优化人口空间化模型[J].地球信息科学学报,2015,17(11):1370-1377.
[21] LI D,ZHAO X,LI X. Remote Sensing of Human Beings-A Perspective from Nighttime Light[J]. Geo-spatial Information Science,2016,19(1):69-79.
[22]高义,王辉,王培涛,等.基于人口普查与多源夜间灯光数据的海岸带人口空间化分析[J].资源科学,2013,35(12):2517-2523.
[23]邓羽,刘盛和,蔡建明,等.中国省际人口空间格局演化的分析方法与实证[J].地理学报,2014,69(10):1473-1486.
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