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Titlebook: Geo-Informatics in Resource Management and Sustainable Ecosystem; Third International Fuling Bian,Yichun Xie Conference proceedings 2016 S

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发表于 2025-3-21 19:43:08 | 显示全部楼层 |阅读模式
书目名称Geo-Informatics in Resource Management and Sustainable Ecosystem
副标题Third International
编辑Fuling Bian,Yichun Xie
视频video
概述Includes supplementary material:
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Geo-Informatics in Resource Management and Sustainable Ecosystem; Third International  Fuling Bian,Yichun Xie Conference proceedings 2016 S
描述This volume constitutes the refereed proceedings of the Third International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2015, held in Wuhan, China, in October 2015..The 101 papers presented were carefully reviewed and selected from 321 submissions. The papers are divided into topical sections on Smart City in Resource Management and Sustainable Ecosystem; Spatial Data Acquisition Through RS and GIS in Resource Management and Sustainable Ecosystem; Ecological and Environmental Data Processing and Management; Advanced Geospatial Model and Analysis for Understanding Ecological and Environmental Process; Applications of Geo-Informatics in Resource Management and Sustainable Ecosystem..
出版日期Conference proceedings 2016
关键词ecological and environmental data processing and management; geo-informatics; remote sensing; smart cit
版次1
doihttps://doi.org/10.1007/978-3-662-49155-3
isbn_softcover978-3-662-49154-6
isbn_ebook978-3-662-49155-3Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer-Verlag Berlin Heidelberg 2016
The information of publication is updating

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Segment-specific ethnomarketinges, in order to provide insight to current manage mechanism. The findings indicate that proper governance and management should be carried out to improve the data quality of as-built records in the long run.
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https://doi.org/10.1007/978-1-4757-5565-7 urban thematic information and special information about urban simulation system. Furthermore, the paper discusses its data coding scheme. Finally, an application system based on the above research is developed for simulating distribution of urban land and traffic loads of Wuhan.
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Urban Traffic Operation Pattern and Spatiotemporal Mode Based on Big Data (Taking Beijing Urban Areaion. Besides, the morning peak of weekends is postponed to 11-12 am, and the night peak appears shorter in 5 pm compared to weekdays. Finally, four modes of traffic and its driving mechanism are concluded.
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