Abstract: The concept of big data is gradually being brought into the public eye, and the field of higher education is also considered an important application scenario of big data. In the process of teaching reform in the“quantitative geography”course, teachers continuously improve their ability to apply, process, and analyze big data, which is of great significance for building the new era of teacher education ability and improving the education mechanism. How to improve teaching practice and innovation based on the concept and technology of big data is a new problem faced by the econometric geography course. Teaching based on cutting-edge knowledge methods such as R language and ArcGIS is beneficial for improving students'ability to collect, analyze, and process geographic big data. This article systematically elaborates on the innovative practical teaching model of“quantitative geography”based on R language in the context of big data, in order to provide reference for the updating of teaching content in the field of geographic science.

Key words: “Quantitative geography”, Big data, R language, Geographical science, Practical teaching, Theoretical innovation