摘要
以川南四市28个区县为研究区,在分析QGIS提取面积、有效光源数、灯光总量、灯光均值、灯光标准差、灯光最小值、灯光最大值、极差等8个指标的基础上,利用主成分分析法对研究区的NPP-VIIRS夜间灯光数据信息进行提取,发现利用“整体”“明”“暗”3个主成分即可以有效地反馈原有的8个指标所提供的信息;利用各主成分的贡献率对所得的主成分得分进行加权求和,得到28个区县NPP-VIIRS夜间灯光数据的综合得分并从大到小进行排序,排序结果与区县建设的实际情况相符,充分揭示了研究区城市扩张及各区县经济社会的发展状况.
Taking 28 districts and counties of 4 cities in southern Sichuan as the study area,based on the analysis of 8 indicators such as the area,the number of effective light sources,the total amount of light,the average value of light,the standard deviation of light,the minimum value of light,the maximum value of light,and the range of light extracted by QGIS,the principal component analysis method was used to extract the NPP-VIIRS night light data information in the study area,and it was found that the three principal components of“whole”,“bright”and“dark”could effectively reflect the original 8 indicators.Finally,the contribution rate of each principal component was used to calculate the weighted sum of the principal component scores,and the comprehensive scores of NPP-VIIRS nighttime lighting data of 28 districts and counties are obtained.The results of the ranking are consistent with the actual situation of district and county construction,and fully reveal the urban expansion of the research area and the economic and social development of each district and county.
作者
晁增福
邢小宁
CHAO Zengfu;XING Xiaoning(Faculty of Science,Yibin University,Yibin,Sichuan 644007,China;Division of Quality Management and Inspection,Yibin University,Yibin,Sichuan 644007,China)
出处
《宜宾学院学报》
2021年第12期85-92,共8页
Journal of Yibin University
基金
宜宾学院科研项目“城市扩张的数学模型研究”(2020PY01)。
关键词
夜间灯光数据
川南地区
主成分分析
城镇化
nighttime light data
southern Sichuan
principal component analysis
urbanization
