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International Journal of Geographical Information Science最新文献

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Reasoning cartographic knowledge in deep learning-based map generalization with explainable AI 用可解释的人工智能推理基于深度学习的地图泛化中的制图知识
IF 5.7 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-06-20 DOI: 10.1080/13658816.2024.2369535
Cheng Fu, Zhiyong Zhou, Yanan Xin, Robert Weibel
Cartographic map generalization involves complex rules, and a full automation has still not been achieved, despite many efforts over the past few decades. Pioneering studies show that some map gene...
制图地图泛化涉及复杂的规则,尽管过去几十年来付出了很多努力,但仍未实现完全自动化。开创性的研究表明,一些地图基因...
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引用次数: 0
An entity alignment approach coupling NGBoost and SHAP for constructing spatio-temporal evolution knowledge graph from historical atlases 一种结合 NGBoost 和 SHAP 的实体对齐方法,用于从历史地图集构建时空演变知识图谱
IF 5.7 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-05-31 DOI: 10.1080/13658816.2024.2347393
Yongquan Yang, Min Cao, Dehui Kong, Xue Hu, Xueying Zhang, Min Chen
The historical atlases provide a wealth of information about the evolution of geography over time and space. The alignment of geographical entities across varying time periods is a crucial aspect o...
历史地图集提供了大量有关地理随时间和空间演变的信息。地理实体在不同时期的排列是地理学的一个重要方面。
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引用次数: 0
Optimisation of spatiotemporal context-constrained full-view area coverage deployment in camera sensor networks via quantum annealing 通过量子退火优化摄像头传感器网络中时空背景受限的全视角区域覆盖部署
IF 5.7 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-05-29 DOI: 10.1080/13658816.2024.2358045
Jie Li, Zhenqiang Li, Long Yao, Ke Wang, Jialin Li, Yao Lu, Chuli Hu
Full-view coverage of a space area with a camera sensor network (CSN) is key to monitoring tasks like security monitoring. Unlike traditional CSN challenges that focus on mere target detection, the...
利用摄像传感器网络(CSN)对空间区域进行全视角覆盖是安全监控等监控任务的关键。传统的 CSN 挑战仅关注目标检测,而摄像传感器网络(CSN)则不同。
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引用次数: 0
Next track point prediction using a flexible strategy of subgraph learning on road networks 使用灵活的道路网络子图学习策略预测下一个轨迹点
IF 5.7 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-05-27 DOI: 10.1080/13658816.2024.2358527
Yifan Zhang, Wenhao Yu, Di Zhu
Accurately predicting the next track point of vehicle travel is crucial for various Intelligent Transportation System (ITS) applications, such as travel behavior studies, traffic control, and traff...
准确预测车辆行驶的下一个轨迹点对于各种智能交通系统(ITS)应用至关重要,例如出行行为研究、交通控制和交通管理。
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引用次数: 0
DKNN: deep kriging neural network for interpretable geospatial interpolation DKNN:用于可解释地理空间插值的深度克里金神经网络
IF 5.7 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS 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
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...
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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引用次数: 0
A hierarchical model with hexagon grids for multi-objective route planning in large-scale off-road environments 用于大规模越野环境中多目标路线规划的六边形网格分层模型
IF 5.7 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-05-06 DOI: 10.1080/13658816.2024.2347319
Beibei Wu, Zhanlong Chen, Xiechun Lu, Binghe Xiao
Off-road route planning plays a vital role across various domains, including civil transportation, earthquake relief and civil production. Off-road route planning requires the consideration of a di...
越野路线规划在民用运输、抗震救灾和民用生产等多个领域发挥着重要作用。非公路路线规划需要考虑多种因素,包括路况、地形、地貌、地形和地形。
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引用次数: 0
Mapping dynamic human sentiments of heat exposure with location-based social media data 利用基于位置的社交媒体数据绘制人类对热暴露的动态感受图
IF 5.7 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-04-30 DOI: 10.1080/13658816.2024.2343063
Fangzheng Lyu, Lixuanwu Zhou, Jinwoo Park, Furqan Baig, Shaowen Wang
Understanding urban heat exposure dynamics is critical for public health, urban management, and climate change resilience. Near real-time analysis of urban heat enables quick decision-making and ti...
了解城市热暴露动态对公共卫生、城市管理和气候变化适应能力至关重要。对城市热量进行近乎实时的分析,可以帮助人们快速做出决策并及时应对气候变化。
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引用次数: 0
Addressing the fixed effects in gravity model based on higher-order origin-destination pairs 根据高阶原籍地-目的地对解决引力模型中的固定效应问题
IF 5.7 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-04-26 DOI: 10.1080/13658816.2024.2343763
Yuzhou Chen, Qiwei Ma, Ran Tao
The gravity model is a classical spatial interaction model for estimating geographical flows between regions, such as trade and migration. A key to enhancing the model performance is addressing the...
引力模型是一种经典的空间互动模型,用于估算区域间的地理流动,如贸易和移民。提高模型性能的关键是解决...
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引用次数: 0
Physics-guided spatio–temporal neural network for predicting dissolved oxygen concentration in rivers 用于预测河流溶解氧浓度的物理引导时空神经网络
IF 5.7 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-04-22 DOI: 10.1080/13658816.2024.2342321
Qiliang Liu, Yuzhao Li, Jie Yang, Min Deng, Junjie Li, Keyi An
The prediction of river water quality is key in water resource management. Data-driven machine learning models have been widely used for predicting river water quality. However, these models seldom...
河流水质预测是水资源管理的关键。数据驱动的机器学习模型已被广泛用于预测河流水质。然而,这些模型很少...
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引用次数: 0
A parallel framework on hybrid architectures for raster-based geospatial cellular automata models 基于光栅的地理空间蜂窝自动机模型的混合架构并行框架
IF 5.7 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-04-22 DOI: 10.1080/13658816.2024.2343776
Huan Gao, Zhewei Liang, Qingfeng Guan, Xun Liang, Wen Zeng
Geospatial cellular automata (Geo-CA) models have encountered challenges in computing efficiency and scalability when conducting large-scale land use change simulation applications. Parallel comput...
在进行大规模土地利用变化模拟应用时,地理空间单元自动机(Geo-CA)模型在计算效率和可扩展性方面遇到了挑战。并行计算...
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引用次数: 0
期刊
International Journal of Geographical Information Science
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