Insights from the Application of Computer-Aided Mapping Technology in Chinese Education for Urban Forestry

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Detalles Bibliográficos
Publicado en:Sustainability vol. 17, no. 23 (2025), p. 10701-10717
Autor Principal: Ma Bingqian
Outros autores: Liang, Te, Li, Jiheng, Hu Zuoyou
Publicado:
MDPI AG
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100 1 |a Ma Bingqian 
245 1 |a Insights from the Application of Computer-Aided Mapping Technology in Chinese Education for Urban Forestry 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a In recent years, research into the optimization of teaching reform for computer-aided mapping has continuously advanced in China. It plays a vital role in the development of urban forestry-related curricula and the cultivation of urban forestry professionals in higher education institutions. However, current research into the teaching reform of computer-aided mapping within the urban forestry domain remains insufficient. To address this, the study employs CiteSpace to conduct a visualization analysis of existing literature samples from journals, systematically integrating research trends and cutting-edge knowledge. The results indicate that relevant research perspectives primarily focus on teaching methods and theories, teaching reform and improvement, and teaching application and practice of computer-aided mapping. Furthermore, the study proposes future prospects for existing computer-aided mapping courses within urban forestry disciplines in China. In future higher education teaching, the urban forestry discipline can draw upon existing computer-aided mapping teaching methods, theories, innovative reforms, and practical applications. Emphasis should be placed on conducting more research in areas such as building multi-party academic collaboration, comprehensively utilizing diverse teaching methods, and expanding theories from multiple perspectives. This will facilitate the systematic and scientific development of computer-aided mapping curricula within the urban forestry discipline. 
651 4 |a China 
653 |a Education reform 
653 |a Software 
653 |a Remote sensing 
653 |a Urban forestry 
653 |a Bibliometrics 
653 |a Cartography 
653 |a Forestry 
653 |a Sustainable development 
653 |a Trends 
653 |a Curricula 
653 |a Publications 
653 |a Decision making 
653 |a Interdisciplinary aspects 
653 |a Mapping 
653 |a Keywords 
653 |a Learning 
700 1 |a Liang, Te 
700 1 |a Li, Jiheng 
700 1 |a Hu Zuoyou 
773 0 |t Sustainability  |g vol. 17, no. 23 (2025), p. 10701-10717 
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