Research on Forest Landscape based on Big data and CiteSpace Visualization Analysis

In order to fully grasp the development and research status of forest landscape ecology, this paper analyzed the literatures related to forest landscape from 1982 to 2020 on CNKI and Wanfang Data Service platform. Based on Python language environment, this paper uses Scrapy framework to extract literature data, and uses CiteSpace visual analysis software to draw knowledge map. It analyzes and visualizes the amount of articles published, research groups, research hotspots and trends. The results showed that: (1) the development process of forest landscape ecology research was divided into three stages: initial exploration period from 1982 to 2002, rapid development period from 2003 to 2008, and stable development period from 2009 to present. (2) The number of scholars in this field is relatively large and scattered, and the influential core author group and institutional group has not yet been formed; (3) The hot research directions are forest landscape pattern, sustainable development of forest, and forest landscape planning and design. (4) The focus of forest landscape ecology research has gradually shifted from geographic information system to eco-tourism, urban forest and planning and design, and the research has become specialized and meticulous.