DMSP/OLS夜间灯光数据研究成果知识图谱分析

doi:10.12082/dqxxkx.2018.170462

地球信息科学学报 ›› 2018, Vol. 20 ›› Issue (3): 351-359.doi: 10.12082/dqxxkx.2018.170462

DMSP/OLS夜间灯光数据研究成果知识图谱分析

李小敏¹(), 郑新奇^1,^*(), 袁涛²

1. 中国地质大学（北京）信息工程学院,北京 100083
2. 中国地质大学（北京）土地科学技术学院,北京 100083

收稿日期:2017-10-08 修回日期:2018-01-16 出版日期:2018-03-20 发布日期:2018-03-20
通讯作者: 郑新奇 E-mail:lxm777@cugb.edu.cn;zxqsd@126.com
作者简介:
作者简介：李小敏（1993-）,女,四川成都人,硕士生,研究方向为地理信息系统及相关应用。E-mail: lxm777@cugb.edu.cn
基金资助:
国土资源部公益性行业科研专项经费项目（201511010）;国家自然科学基金项目（41301118）.

Knowledge Mapping of Research Results on DMSP/OLS Nighttime Light Data

LI Xiaomin¹(), ZHENG Xinqi^1,^*(), YUAN Tao²

1. School of Information Engineering, China University of Geosciences (Beijing), Beijing 100083, China
2. School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, China;

Received:2017-10-08 Revised:2018-01-16 Online:2018-03-20 Published:2018-03-20
Contact: ZHENG Xinqi E-mail:lxm777@cugb.edu.cn;zxqsd@126.com
Supported by:
Public Service Project Supported by the Ministry of Land and Resources of the People's Republic of China (PRC) , No.201511010;National Key Technology Support Program, No.41301118.

摘要/Abstract

摘要：

利用CitesSpace软件对1997-2017年DMSP/OLS夜间灯光数据进行知识图谱分析,梳理国内外研究热点与演化历史,发掘研究难点,为后来研究者提供方向。本文选取Web of Science 核心数据集数据库收录的文献,进行合著特征分析、关键词共现分析和文献共被引分析。结果表明：① 夜间灯光数据相关研究最活跃的国家、机构和作者分别是美国、中国科学院和Elvidge;② 社会经济条件估计（人口、人口密度和电力）和城市扩展变化监测一直是国内外研究的热点和前沿;③ 目前的研究难点是如何减少灯光溢出效应以及灯光过饱和现象对研究精度的影响;④ 研究学科交叉性强,涉及地理学、测绘科学与技术、应用经济学、社会学等领域。因此,未来的研究趋势主要表现在数据处理方法的优化、研究领域的拓展以及深化已有研究成果3个方面。

关键词: DMSP/OLS, 夜间灯光, CiteSpace, 知识群组, 演化路径

Abstract:

With the development of society, more and more attention is paid to the changes and rules of human economic activities. Nighttime light data is much concerned as a data set that reflects the economic activities of mankind. The traditional statistical methods make the study of socio-economic indicators difficult, while the strong correlation between nighttime light data and socio-economic data provides a convenient and fast data source for this kind of research. DMSP/OLS data offers the possibility of socio-economic research at a global scale, and the long time series and high spatial resolution of DMSP / OLS data is suitable for urban expansion study. This study used CitesSpace software to analyze the knowledge mapping of DMSP / OLS nighttime light data from 1997 to 2017, in order to comb the research hot spots and evolution route at home and abroad. We explore the research difficulties and provide the direction for later researchers. The literatures of "Web of Science" core dataset were chosen in this study by means of co-character, the co-occurrence network of key words and the co-citation network. The results are as follows: (1) The most active countries, institutions and authors are the United States, Chinese Academy of Sciences (CAS) and Elvidge, respectively. The research of DMSP/OLS data started in the United States. CAS did numerous research later, but some of the research lacked international influence. Elvidge is a pioneer in this filed, and conducted a lot of in-depth study on socio-economic estimation and urban expansion. (2) Socio-economic estimation (population, population density and electricity) and urban expansion have been the focus and frontier of the research. (3) The current difficulty is how to reduce the blooming effect and saturation effect on the research precision. (4) The research subjects have strong interdisciplinary, involving geography, science and technology of surveying and mapping, applied economics, sociology etc. Therefore, the future research trends are mainly reflected in three aspects: the optimization of data processing methods, the expansion of research fields and the deepening of the existing research results.

Key words: DMSP/OLS, nighttime light, CiteSpace, knowledge groups, evolution route

李小敏, 郑新奇, 袁涛. DMSP/OLS夜间灯光数据研究成果知识图谱分析[J]. 地球信息科学学报, 2018, 20(3): 351-359.DOI:10.12082/dqxxkx.2018.170462

LI Xiaomin,ZHENG Xinqi,YUAN Tao. Knowledge Mapping of Research Results on DMSP/OLS Nighttime Light Data[J]. Journal of Geo-information Science, 2018, 20(3): 351-359.DOI:10.12082/dqxxkx.2018.170462

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国家	频次	中介中心性
中国	157	0.56
美国	142	0.71
日本	31	0.27
印度	15	0
澳大利亚	8	0.03
英国	8	0.02
意大利	6	0
瑞典	3	0.01
希腊	2	0
加拿大	2	0.02
印度尼西亚	2	0
以色列	2	0
奥地利	2	0
德国	2	0
荷兰	2	0

机构	频数	中介中心性
中国科学院	54	0.47
NOAA	29	0.34
北京师范大学	22	0.35
武汉大学	19	0.19
北京大学	11	0.15
东北师范大学	2	0.15
马里兰大学	4	0.1
斯坦福大学	4	0.09
中国科学院大学	20	0.08
国家遥感局	5	0.05
清华大学	2	0.05
印第安纳州立大学	7	0.01
科罗拉多大学	11	0

作者	频数	中介中心性	作者所在机构
Elvidge CD	41	0.17	NOAA
Badarinath KVS	8	0.04	印度国家遥感局
He CY	8	0.04	北京师范大学
Sutton PC	6	0.01	丹佛大学
Anderson S	2	0.01	丹佛大学
Zhou YY	4	0.01	美国西北太平洋国家实验室
Li X	11	0	武汉大学

DMSP/OLS夜间灯光数据研究成果知识图谱分析

Knowledge Mapping of Research Results on DMSP/OLS Nighttime Light Data

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