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1. 新疆大学地理与遥感科学学院
2. 新疆大学新疆绿洲生态自治区重点实验室
3. 新疆大学智慧城市与环境建模自治区普通高校重点实验室
Published:2023
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[1]丁建丽,葛翔宇,王瑾杰,等.地理学领域的人工智能应用与思考[J].新疆大学学报(自然科学版)(中英文),2023,40(04):385-397. DOI: 10.13568/j.cnki.651094.651316.2023.06.14.0001.
DOI:10.13568/j.cnki.651094.651316.2023.06.14.0001.
人工智能技术在地理学中的应用具有广阔的前景,广泛参与地理过程的观测、分析、模拟和预测.面向地理学领域的人工智能应用,以“智能感知-智慧表达”为脉络,梳理了人工智能在地理学中的表现形式和地理学各领域的应用.在此基础上归纳总结了目前应用在地理大数据智能处理、尺度效应、模型的不确定性等方面的问题,并提出未来在多源数据协调与协同、模型的集成、人工智能的可解释性和地理大模型的构建等方面的建议.强调针对人工智能地理学应用将逐步通过地理大数据的协同挖掘、学习大量地理要素数据、增强模型的集成与解释、训练大模型具备理解地理学三定律的能力.
The application of artificial intelligence(AI) technology in geography is promising and widely involved in the observation
analysis
simulation and prediction of geographic processes. We take “intelligent sensing-smart expression” as a channel to sort out the manifestation of AI in geography and the current application status in various fields of geography. On this basis
the challenges of current applications in terms of intelligent processing of geographic big data
scale effects
and uncertainty of models are summarized
and future development in terms of coordination and collaboration of multi-source data
integration of models
interpretability of AI
and construction of geographic big models are proposed. It is emphasized that for AI geography applications will gradually learn a large amount of geographic element data through collaborative mining of geographic big data
enhance the integration and interpretation of models
and train big models with the ability to understand the three laws of geography.
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