Abstract
With the gradual maturation of artificial intelligence technology and the widespread application of machine learning technology in recent years, the research direction of geographic science has shifted dramatically. It has become an important problem in geography to efficiently and accurately mine the inherent laws for these massive, diverse and multidimensional data. Simultaneously, through an in-depth study of geographic information systems, a more reasonable layout and planning in urban and rural construction, traffic management, industrial transfer, and other aspects of human geography can be made. This paper focuses on the application of various machine learning methods in various geographical environments, such as the atmosphere, geology, hydrology, and natural disasters in natural geography. Humanities like urban and rural planning, agricultural production, and tourism geography like GIS, RS, GIS, Beidou are key study object as well.
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