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1998-2016年全球LUCC研究进展与热点分析
引用本文:郑荣宝,卢润开,唐晓莲,李爽,张雅琪,黄婷.1998-2016年全球LUCC研究进展与热点分析[J].华侨大学学报(自然科学版),2017,0(5):591-601.
作者姓名:郑荣宝  卢润开  唐晓莲  李爽  张雅琪  黄婷
作者单位:广东工业大学 管理学院, 广东 广州 510520
摘    要:以Web of Science为数据源,运用文献计量方法与可视化分析工具,从文献时间分布、研究机构、科学领域分布、文献作者和研究热点等维度,对1998-2016年全球土地利用/覆盖变化(LUCC)研究进展进行数据挖掘.研究结果表明:目前LUCC研究日益成熟,文献逐年稳定增长,发展前景依然广阔;机构和作者合作网络还相对松散,LUCC全球合作有待进一步加强;LUCC研究学科交叉性强,综合集成了环境科学、生态学、地理学等多个自然与社会学科;LUCC研究热点众多,气候变化、生态系统、地表景观、城镇化、森林砍伐等热点受到高度关注;综合性研究是未来LUCC的发展趋势,体现在多学科、多时空、多尺度、多方法的交叉.未来LUCC要在数据标准化、大尺度遥感图像融合、历史地图资料不准确性与当代资料整合,以及LUCC全球分类体系和LUCC成果应用等方面加强研究.

关 键 词:土地利用/覆盖变化  文献计量  可视化分析  数据挖掘

Researches Progress and Hotspots Analysis of Global LUCC Research During 1998 to 2016
ZHENG Rongbao,LU Runkai,TANG Xiaolian,LI Shuang,ZHANG Yaqi,HUANG Ting.Researches Progress and Hotspots Analysis of Global LUCC Research During 1998 to 2016[J].Journal of Huaqiao University(Natural Science),2017,0(5):591-601.
Authors:ZHENG Rongbao  LU Runkai  TANG Xiaolian  LI Shuang  ZHANG Yaqi  HUANG Ting
Institution:College of Management, Guangdong University of Technology, Guangzhou 510520, China
Abstract:Using the Web of Science database as data source, the literature measurement method and visual analysis tool have been used to analyze the research situation of LUCC(land-use and land-cover change)during 1998 to 2016 in the literature time distribution, research institutes, scientific field distribution, literature authors and research hot-spots, etc.. The results show that: at present, the LUCC research is becoming more and more mature, but the literature is still growing steadily and the prospect is broad; the cooperative network of institutions and authors is relatively loose, suggesting that the global cooperation of LUCC needs to be further strengthened; the study of LUCC is a highly interdisciplinary research, covering environmental science, ecology, geography and many other disciplines. LUCC has many research hot-spots, including climate change, ecosystem, surface landscape, urbanization, deforestation and so on; synthesis is the future development trend of LUCC, embodied in multidisciplinary, multi-temporal scale, multi-level, theory and methods and so on. Next, data standardization, large-scale remote sensing image pixel mixing, inaccurate processing and integration of historical map data, establishment of LUCC global classification system and results application should be strengthened in LUCC.
Keywords:land-use and land-cover change  bibliometrics  visual analysis  data mining
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