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从空间互动中学习地点表征

IF 4.3 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
International Journal of Geographical Information Science Pub Date : 2024-03-27 DOI:10.1080/13658816.2024.2332908
Xuechen Wang, Huanfa Chen, Yu Liu
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引用次数: 0

摘要

地理空间人工智能（GeoAI）系统的发展取决于学习有效地点表征的能力。要想从空间间关系中学习到准确的地点表征，就需要对地理空间进行分析。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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Learning place representations from spatial interactions
The development of geospatial artificial intelligence (GeoAI) systems depends on the ability to learn effective representations of places. To learn accurate place representations from spatial inter...
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来源期刊
International Journal of Geographical Information Science
International Journal of Geographical Information Science 地学-计算机：信息系统
CiteScore
11.00
自引率
7.00%
发文量
81
审稿时长
9 months
期刊介绍： International Journal of Geographical Information Science provides a forum for the exchange of original ideas, approaches, methods and experiences in the rapidly growing field of geographical information science (GIScience). It is intended to interest those who research fundamental and computational issues of geographic information, as well as issues related to the design, implementation and use of geographical information for monitoring, prediction and decision making. Published research covers innovations in GIScience and novel applications of GIScience in natural resources, social systems and the built environment, as well as relevant developments in computer science, cartography, surveying, geography and engineering in both developed and developing countries.
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