Visual analysis of the evolution and focus in landslide research field Visual analysis of the evolution and focus in landslide research field

最小化 最大化

Vol16 No.5: 991-1004

Title】Visual analysis of the evolution and focus in landslide research field

Author】YANG Jing, CHENG Chang-xiu, SONG Chang-qing, SHEN Shi, NING Li-xin

Addresses】1 Key Laboratory of Environmental Change and Natural Disaster, Beijing Normal University, Beijing 100875, China; 2 State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China; 3 Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; 4 Center for Geodata and Analysis, Beijing Normal University, Beijing 100875, China

Corresponding author】CHENG Chang-xiu

Citation】Yang J, Cheng CX, Song CQ, et al. (2019)Visual analysis of the evolution and focus in landslide research field. Journal of Mountain Science 16(5). https://doi.org/10.1007/s11629-018-5280-z

DOI】https://doi.org/10.1007/s11629-018-5280-z

Abstract】This paper analysed the evolution of landslide research and research foci in different countries. The data comprise 3105 landslide SCI articles published between January 1977 and June 2015 from the Web of Science. The data are extracted under interaction constraints of the journal title, category, and keywords. The complex network method is used for the analysis. First, from the perspective of topics and methods, the evolution is systematically assessed by generating a co-citation network of the articles and a semantic cluster analysis. Second, from the perspective of topics and landslide-related disasters, the focus in different countries is discussed by generating co-occurrence networks. These networks are the co-occurrence of the countries and keywords, and the co-occurrence of countries and landslide-related disaster phrases. The main conclusions are as follows: (1) landslide susceptibility analysis and methods of machine learning are popular research topics and methods, respectively. The topics change through time, and the article output is influenced by increasing landslide-related disasters, increasing economic losses and casualties, a desire for a more complete and accurate landslide inventory, and the use of effective methods, such as geographical information Science (GIS) and machine learning. (2) The research focus in each country is related with the country-specific disasters or economic costs caused by landslides to some degree. In addition to Italy and the USA, China is the country most commonly affected by landslides, and it should develop its own landslide database and complete in-depth studies of disaster mitigation.

Keywords】Landslides; Complex network; Cluster analysis; Evolution; Research focus