地理学科大数据在本科教学中的挖掘与学习

The Excavation and Study of the Big Data of Geography in Undergraduate Teaching

大数据给地理学科带来了机遇和挑战,但是针对地理学科本科教学的大数据挖掘和学习研究相对较少。本文结合大数据概念和地理学科的发展演变,分析了现代地理学的发展趋势,并对大数据在地理学科中的应用列举了最优位置选择、人口流动热力图和人口性别比分布三个具体案例,探讨了地理学科本科教学大数据挖掘和学习的可能。就地理学科而言,多源对地观测数据为其变革提供了数据支持,地理学科的多学科交叉为其提供了技术保障,因此,未来在地理学科大数据本科教学中在研究理论基础的同时,加强案例挖掘和学习,逐步构成了一个成熟的体系。

Big data has brought opportunities and challenges to geography science,but there are few studies on the research of data mining and learning for undergraduate teaching of geography. This paper combined with the development of the concept of big data and geography evolution,analyzes the development trend of modern geography,the application of big data in the field of geography lists three specific cases：the optimal location selection,the population flow thermal map and the population sex ratio distribution,and discussed the possibility of data mining and learning in geography teaching. For geography,multi-source of earth observation data to provide data support for the reform of geography,multidisciplinary cross provides technical support,therefore,at the same time in the future geography data in undergraduate teaching in basic theory research,strengthen the case mining and learning,gradually formed a mature system.