引入兴趣点的地理加权人口空间分布模型研究——以天津市为例
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摘要
针对传统方法解决城市内部人口空间分布问题的困难和不足,在分区建模基础上,提出了将兴趣点引入多元逐步、地理加权、混合地理加权方法,以天津市15区为实验区,进行模型验证。结果表明,兴趣点可以有效地反映人口空间分布现状,地理加权方法能更好地模拟人口的空间分布。
Aiming the difficulties and shortcomings of conventional approaches in solving the spatial distribution of urban population,this study adopts partition modeling to raise the idea of introducing interest points to multi-dimensional stepwise,geographical weighting and mixed geographical weighting.The 15 districts within the jurisdiction of Tianjin were selected for the trial to validate the model.As revealed by the results,the interest points were effective in indicating the current state of how the population is distributed from a spatial perspective and the geographical weighting method is superior in the simulation of spatial distribution for population.
Aiming the difficulties and shortcomings of conventional approaches in solving the spatial distribution of urban population,this study adopts partition modeling to raise the idea of introducing interest points to multi-dimensional stepwise,geographical weighting and mixed geographical weighting.The 15 districts within the jurisdiction of Tianjin were selected for the trial to validate the model.As revealed by the results,the interest points were effective in indicating the current state of how the population is distributed from a spatial perspective and the geographical weighting method is superior in the simulation of spatial distribution for population.
引文
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[2]刘纪平,董春,亢晓琛,等.大数据时代的地理国情统计分析[J].武汉大学学报(信息科学版),2019,44(1):68-76,83.
[3]李少英,黎夏,刘小平,等.基于劳动力市场均衡的人口多智能体模拟:快速工业化地区研究[J].武汉大学学报(信息科学版),2015,40(10):1306-1311.
[4]王珂靖,蔡红艳,杨小唤,等.基于城镇居民用地再分类的人口数据空间化方法研究:以长江中游4省为例[J].遥感技术与应用,2015,30(5):987-995.
[5]董南,杨小唤,黄栋,等.引入城市公共设施要素的人口数据空间化方法研究[J].地球信息科学学报,2018,20(7):918-928.
[6]李翔,陈振杰,吴洁璇,等.基于夜间灯光数据和空间回归模型的城市常住人口格网化方法研究[J].地球信息科学学报,2017,19(10):1298-1305.
[7]冯甜甜,龚健雅.基于建筑物提取的精细尺度人口估算研究[J].遥感技术与应用,2010,25(3):323-327.
[8]梁发宏,杨帆.自发地理信息研究进展综述[J].测绘通报,2015(S2):74-78.
[9]俞政.基于手机信令数据的上海市浦东新区常住人口估算[D].上海:上海社会科学院,2018.