大数据时代地方高校地理专业实验室创新建设思考

Thinking on the Innovation and Construction of Geography Department Laboratories in Local Universities in the Big Data Era

摘要: 本文探讨了大数据时代背景下地方高校地理专业实验室面临的变革、挑战与机遇。在大数据技术的推动下，地理科学研究拥有了前所未有的广阔数据资源，促使实验室在研究视角和深度上有所拓展，并对GIS技术提出了更高要求，如云计算能力和并行计算能力的提升。然而，当前地方高校地理专业实验室在规模、布局、设施、管理及人才等方面存在诸多问题。针对现状，文章提出在大数据时代构建以通用时空大数据平台为核心、人工智能为支撑，跨学科合作、大协作、高强度为特征的创新体系，以此提升地理专业实验室的教学科研水平和服务功能。同时，通过具体案例分析展示了中国科学院地理科学与资源研究所等成功实践，强调了构建智慧实验室、培养创新人才和提供智能化服务的重要性。大数据时代为地方高校地理专业实验室带来了巨大的发展空间，通过技术创新和人才培养模式改革，可以有效解决现有问题，实现实验室的现代化升级，更好地服务于地理科学教育、科研及社会经济发展需求。

Abstract: This paper explores the changes, challenges, and opportunities faced by local university geography laboratories in the context of the big data era. With the advancement of big data technology, geo-graphic scientific research has unprecedented access to vast data resources, prompting laboratories to expand their research perspectives and depth, and placing higher demands on GIS technology, such as improved cloud computing and parallel computing capabilities. However, current local uni-versity geography laboratories face various issues in terms of scale, layout, facilities, management, and talent. In response to this situation, the article proposes the construction of an innovative sys-tem in the big data era with a universal spatiotemporal big data platform at its core, supported by artificial intelligence, characterized by interdisciplinary collaboration, large-scale cooperation, and high intensity. This aims to enhance the teaching, research, and service functions of geographic professional laboratories. Additionally, specific case studies, such as the successful practices of the Institute of Geographic Sciences and Natural Resources Research of the Chinese Academy of Scienc-es, are presented to emphasize the importance of building smart laboratories, cultivating innova-tive talents, and providing intelligent services. The big data era brings tremendous development opportunities for local university geography laboratories. Through technological innovation and reform of talent cultivation models, existing issues can be effectively addressed, leading to the mod-ernization and better service of geographic science education, research, and socio-economic development needs.