热带地理 ›› 2020, Vol. 40 ›› Issue (1): 101-109.doi: 10.13284/j.cnki.rddl.003179
赵鑫1, 宋英强1a, 刘轶伦1a, 陈飞香1a, 胡月明1,2,3()
收稿日期:
2019-04-15
修回日期:
2019-09-04
出版日期:
2020-01-10
发布日期:
2020-02-24
通讯作者:
胡月明
E-mail:yueminghugis@163.com
作者简介:
赵鑫(1994—),女,硕士研究生,主要研究方向为土地利用与地理信息系统,(E-mail)582625232@qq.com。
基金资助:
Zhao xin1, Song Yingqiang1a, Liu Yilun1a, Chen Feixiang1a, Hu Yueming1,2,3()
Received:
2019-04-15
Revised:
2019-09-04
Online:
2020-01-10
Published:
2020-02-24
Contact:
Hu Yueming
E-mail:yueminghugis@163.com
摘要:
以广州市为例,基于NPP/VIIRS夜间灯光、土地利用、POI(Points of Interest)等自然地理和社会经济因素,构建了人口空间化指标体系,采用主成分赋权法确定人口分布权重,利用GIS技术对人口统计数据进行了空间化处理。结果显示:综合考虑了自然地理和社会经济因素的人口空间化结果与真实的人口空间格局相吻合,空间分辨率为30 m,且相对误差绝对值<25%的乡镇有62个,所占比例为36.47%;而不加POI数据得到的人口空间化结果,相对绝对值<25%的乡镇有33个,所占比例约为20%,精度明显降低。结果表明:1)综合考虑NPP/VIIRS夜间灯光、土地利用、POI等自然地理和社会经济因素,有助于实现精度较高的人口空间化结果;2)将能够反映微观细节信息的POI数据引入人口空间化研究,扩展了人口空间化的数据源,并且可以提高人口空间化结果的精度。
中图分类号:
赵鑫, 宋英强, 刘轶伦, 陈飞香, 胡月明. 基于卫星遥感和POI数据的人口空间化研究——以广州市为例[J]. 热带地理, 2020, 40(1): 101-109.
Zhao xin, Song Yingqiang, Liu Yilun, Chen Feixiang, Hu Yueming. Population Spatialization Based on Satellite Remote Sensing and POI Data: Guangzhou as an Example[J]. Tropical Geography, 2020, 40(1): 101-109.
表1
数据来源及属性"
数据名称 | 数据来源 | 属性 |
---|---|---|
2015年土地利用数据(包括河流、道路) | 遥感解译Landsat image(2015-10-08) | 30 m×30 m栅格 |
2015年POI | 网络爬虫 | 矢量点数据 |
2015年DEM数据 | 地理空间数据云http://www.gscloud.cn/ | 30 m×30 m栅格 |
2015年NPP/VIIRS | https://ngdc.noaa.gov | 500 m×500 m栅格 |
2015年DMSP/OLS | https://ngdc.noaa.gov | 1 000 m×1 000 m栅格 |
2015年人口户籍统计数据 | 各区统计年鉴http://cyfd.cnki.com.cn/N2016010323.htm | 区县级、乡镇(街道)级 |
2015年广州市行政区划 | 广州市行政图数字化 | 矢量面数据 |
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