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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
International Journal of Geographical Information Science Pub Date : 2024-06-20 DOI: 10.1080/13658816.2024.2369535
Cheng Fu, Zhiyong Zhou, Yanan Xin, Robert Weibel
{"title":"Reasoning cartographic knowledge in deep learning-based map generalization with explainable AI","authors":"Cheng Fu, Zhiyong Zhou, Yanan Xin, Robert Weibel","doi":"10.1080/13658816.2024.2369535","DOIUrl":"https://doi.org/10.1080/13658816.2024.2369535","url":null,"abstract":"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...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":"5 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141507969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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
International Journal of Geographical Information Science Pub Date : 2024-05-31 DOI: 10.1080/13658816.2024.2347393
Yongquan Yang, Min Cao, Dehui Kong, Xue Hu, Xueying Zhang, Min Chen
{"title":"An entity alignment approach coupling NGBoost and SHAP for constructing spatio-temporal evolution knowledge graph from historical atlases","authors":"Yongquan Yang, Min Cao, Dehui Kong, Xue Hu, Xueying Zhang, Min Chen","doi":"10.1080/13658816.2024.2347393","DOIUrl":"https://doi.org/10.1080/13658816.2024.2347393","url":null,"abstract":"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...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":"47 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141507970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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
International Journal of Geographical Information Science 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
{"title":"Optimisation of spatiotemporal context-constrained full-view area coverage deployment in camera sensor networks via quantum annealing","authors":"Jie Li, Zhenqiang Li, Long Yao, Ke Wang, Jialin Li, Yao Lu, Chuli Hu","doi":"10.1080/13658816.2024.2358045","DOIUrl":"https://doi.org/10.1080/13658816.2024.2358045","url":null,"abstract":"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...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":"4 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141507972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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
International Journal of Geographical Information Science Pub Date : 2024-05-27 DOI: 10.1080/13658816.2024.2358527
Yifan Zhang, Wenhao Yu, Di Zhu
{"title":"Next track point prediction using a flexible strategy of subgraph learning on road networks","authors":"Yifan Zhang, Wenhao Yu, Di Zhu","doi":"10.1080/13658816.2024.2358527","DOIUrl":"https://doi.org/10.1080/13658816.2024.2358527","url":null,"abstract":"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...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":"10 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141507971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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
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
{"title":"DKNN: deep kriging neural network for interpretable geospatial interpolation","authors":"Kaiqi Chen, Enbo Liu, Min Deng, Xiaoyong Tan, Jiaoju Wang, Yan Shi, Zhizhong Wang","doi":"10.1080/13658816.2024.2347316","DOIUrl":"https://doi.org/10.1080/13658816.2024.2347316","url":null,"abstract":"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...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":"66 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140933831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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
International Journal of Geographical Information Science Pub Date : 2024-05-06 DOI: 10.1080/13658816.2024.2347319
Beibei Wu, Zhanlong Chen, Xiechun Lu, Binghe Xiao
{"title":"A hierarchical model with hexagon grids for multi-objective route planning in large-scale off-road environments","authors":"Beibei Wu, Zhanlong Chen, Xiechun Lu, Binghe Xiao","doi":"10.1080/13658816.2024.2347319","DOIUrl":"https://doi.org/10.1080/13658816.2024.2347319","url":null,"abstract":"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...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":"3 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140933763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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
International Journal of Geographical Information Science Pub Date : 2024-04-30 DOI: 10.1080/13658816.2024.2343063
Fangzheng Lyu, Lixuanwu Zhou, Jinwoo Park, Furqan Baig, Shaowen Wang
{"title":"Mapping dynamic human sentiments of heat exposure with location-based social media data","authors":"Fangzheng Lyu, Lixuanwu Zhou, Jinwoo Park, Furqan Baig, Shaowen Wang","doi":"10.1080/13658816.2024.2343063","DOIUrl":"https://doi.org/10.1080/13658816.2024.2343063","url":null,"abstract":"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...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":"47 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141149723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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
International Journal of Geographical Information Science Pub Date : 2024-04-26 DOI: 10.1080/13658816.2024.2343763
Yuzhou Chen, Qiwei Ma, Ran Tao
{"title":"Addressing the fixed effects in gravity model based on higher-order origin-destination pairs","authors":"Yuzhou Chen, Qiwei Ma, Ran Tao","doi":"10.1080/13658816.2024.2343763","DOIUrl":"https://doi.org/10.1080/13658816.2024.2343763","url":null,"abstract":"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...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":"32 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141149608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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
International Journal of Geographical Information Science Pub Date : 2024-04-22 DOI: 10.1080/13658816.2024.2342321
Qiliang Liu, Yuzhao Li, Jie Yang, Min Deng, Junjie Li, Keyi An
{"title":"Physics-guided spatio–temporal neural network for predicting dissolved oxygen concentration in rivers","authors":"Qiliang Liu, Yuzhao Li, Jie Yang, Min Deng, Junjie Li, Keyi An","doi":"10.1080/13658816.2024.2342321","DOIUrl":"https://doi.org/10.1080/13658816.2024.2342321","url":null,"abstract":"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...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":"4 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140636328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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
International Journal of Geographical Information Science Pub Date : 2024-04-22 DOI: 10.1080/13658816.2024.2343776
Huan Gao, Zhewei Liang, Qingfeng Guan, Xun Liang, Wen Zeng
{"title":"A parallel framework on hybrid architectures for raster-based geospatial cellular automata models","authors":"Huan Gao, Zhewei Liang, Qingfeng Guan, Xun Liang, Wen Zeng","doi":"10.1080/13658816.2024.2343776","DOIUrl":"https://doi.org/10.1080/13658816.2024.2343776","url":null,"abstract":"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...","PeriodicalId":14162,"journal":{"name":"International Journal of Geographical Information Science","volume":"336 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140636461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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