DKNN:用于可解释地理空间插值的深度克里金神经网络

IF 4.3 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Geographical Information Science Pub Date : 2024-05-06 DOI:10.1080/13658816.2024.2347316
Kaiqi Chen, Enbo Liu, Min Deng, Xiaoyong Tan, Jiaoju Wang, Yan Shi, Zhizhong Wang
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引用次数: 0

摘要

地理空间插值在空间分析中起着举足轻重的作用,因为它能为各种时空数据挖掘(STDM)任务提供高质量的数据支持。然而,统计方法、...
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DKNN: deep kriging neural network for interpretable geospatial interpolation
Geospatial interpolation plays a pivotal role in spatial analysis because it provides high-quality data support for various spatiotemporal data mining (STDM) tasks. However, statistical methods, su...
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来源期刊
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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