A note on GeoAI from the perspective of geographical laws

doi:10.11947/j.AGCS.2022.20220125

Abstract

Abstract: Recently, the rapid development of artificial intelligence has reshaped the research paradigm of many disciplines. Regarding geography, this trend is no exception. From the perspective of knowledge discovery, geographical research has two major tasks: revealing big unknowns and discovering laws. Artificial intelligence helps geographers discover knowledge or even automatically extract knowledge from these two aspects. Compared with other geoscience disciplines, geography focuses more on discovering "universal" laws. However, in the process of seeking geographical laws, we need to deal with the trade-off between universality and geographical heterogeneity, the core in which can be expressed as the theoretical foundation in artificial intelligence learning: generalization and interpretability. Therefore, there is an inherent logical consistency between the two disciplines. Introducing artificial intelligence to geographical studies will help to strengthen the disciplinary basis. This paper gives an example framework for artificial intelligence to discover geographical laws, and points out the future directions of geospatial artificial intelligence and geographic information science.

Key words: geographical heterogeneity, geographical law, geospatial artificial intelligence, geographic information science

CLC Number:

P208

LIU Yu, GUO Hao, LI Haifeng, DONG Weihua, PEI Tao. A note on GeoAI from the perspective of geographical laws[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(6): 1062-1069.

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