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Titlebook: Spatial Data and Intelligence; 4th International Co Xiaofeng Meng,Xiang Li,Yafei Li Conference proceedings 2023 The Editor(s) (if applicabl

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發(fā)表于 2025-3-21 17:41:24 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Spatial Data and Intelligence
副標(biāo)題4th International Co
編輯Xiaofeng Meng,Xiang Li,Yafei Li
視頻videohttp://file.papertrans.cn/874/873467/873467.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Spatial Data and Intelligence; 4th International Co Xiaofeng Meng,Xiang Li,Yafei Li Conference proceedings 2023 The Editor(s) (if applicabl
描述This book constitutes the refereed proceedings of the 4th?International Conference on Spatial Data and Intelligence, SpatialDI 2023, held in Nanchang, China, in April 13–15, 2023..The 18 full papers included in this book were carefully reviewed and selected from 68 submissions. They were organized in topical sections as follows: traffic management; visualization analysis; spatial big data analysis; spatiotemporal data mining; spatiotemporal data storage; and metaverse..
出版日期Conference proceedings 2023
關(guān)鍵詞Traffic Management; Visualization Analysis; Spatial Big Data Analysis; Spatiotemporal Data Mining; Spati
版次1
doihttps://doi.org/10.1007/978-3-031-32910-4
isbn_softcover978-3-031-32909-8
isbn_ebook978-3-031-32910-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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978-3-031-32909-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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https://doi.org/10.1007/978-3-031-32910-4Traffic Management; Visualization Analysis; Spatial Big Data Analysis; Spatiotemporal Data Mining; Spati
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發(fā)表于 2025-3-22 14:49:15 | 只看該作者
0302-9743 Nanchang, China, in April 13–15, 2023..The 18 full papers included in this book were carefully reviewed and selected from 68 submissions. They were organized in topical sections as follows: traffic management; visualization analysis; spatial big data analysis; spatiotemporal data mining; spatiotemp
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Research on the Visualization Method of Weibo User Sentiment Analysis Based on IP Affiliation and Cocombining spatio-temporal data such as time and coordinates. Experimental results show that this method is feasible and effective for the visualization of emotion analysis of Weibo users, and can achieve better visualization results.
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Village Web 3D Visualization System Based on Cesium frame rate of system visualization is stable at about 35 FPS, which realizes the dynamic scheduling, real-time rendering, viewshed analysis and measurement of village 3D model and lays a foundation for the construction of digital and even smart village.
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