Geographical similarity research based on bibliometric analysis
To comprehensively review the progress of research on geographical environment similarity in China,and to understand the context,focal issues,key achievements,and potential future directions across various branches of geographical similarity studies,this paper surveys the application of similarity in geographical environment analysis.The study of geological similarity spans a significant historical period,with research content dispersed across various domains,making a comprehensive synthesis based solely on keyword searches unfeasible.Moreover,the exponential growth in literature volume in this field poses substantial challenges to traditional induction methods.However,with the considerable enhancement in computer data storage capabilities and significant advancements in mathematical methods for literature analysis,tools for literature analysis have been greatly refined,providing robust technical support for summarizing and inducing insights from literature.In our work,we employ a suite of bibliometric tools to conduct a more scientifically grounded metrological evaluation.We select the most appropriate metrology tools for analysis based on the unique characteristics and objectives of different datasets.By leveraging the strengths of various bibliometric tools from multiple angles,we automate the processing of vast document collections to achieve concise and intuitive visualization outcomes.This approach maximizes the analytical capabilities of the tools,enabling us to complete more comprehensive and detailed summaries,thereby facilitating deeper knowledge exploration.We retrieved and analyzed related literature from 1994 to 2023 in the CNKI journal database from three perspectives:research topics,similarity definition methods,and similarity calculation methods.VOSviewer was used to analyze co-occurrence maps of core authors,research institutions,and keywords;CNKI was used to calculate the distribution of disciplines and the volume of published articles;and the knowledge network about authors,institutions,and documents in the knowledge network node was used to assist the interpretation of the maps.A total of 1305 articles were retrieved,and the publication volume curve indicates that this field has experienced three stages:startup,rapid growth,and steady development.Most achievements are concentrated in three disciplines:biology,computer software and applications,physical geography,and surveying and mapping.The research content can be divided into three major areas.The author's cooperation with scientific research institutions is"dispersed as a whole but concentrated in small areas".Existing research has covered the similarity analysis of most geographical elements and features,accumulating rich results.Different fields emphasize different research contents,and enhancing knowledge exchange is conducive to further promoting research progress and solving more practical problems.The reliability of similarity calculations depends on people's perceptions and cognition of essential laws based on limited knowledge and experience,as well as the description and quantification of geographical features and the design of similarity calculation models under this guidance.
NETL
NSTL
万方数据
