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Copyright of Geomatics & Information Science of Wuhan University is the property of Geomatics & Information Science of Wuhan University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Geography & Geographic Information Science is the property of Geography & Geo-Information Science Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Geomatics & Information Science of Wuhan University is the property of Geomatics & Information Science of Wuhan University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

How to achieve the unified integration of decentralized information resources, the effective invocation of complex model resources, and the efficient sharing and visualization of decision-making spatio-temporal information based on the integrated needs of government decision-making departments such as smart city operation management, construction planning, and emergency command, become the major challenges in the current development process of the urban comprehensive decision-making. Firstly, the key technologies for the urban comprehensive decision-making, such as perception networking and spatio-temporal information access, geospatial model networking and cognition, and decision spatio-temporal information focusing service are proposed, which breaks through the bottlenecks of urban space-time information intelligence analysis, collaborative decision-making and active-focus services. Then, a prototype system of comprehensive decision-making of spatio-temporal information in smart city is implemented. Taking the gas leak response of Taiyuan as an example, the feasibility and applicability of the system for urban comprehensive decision-making are verified. Finally, three main development trends are summarized, that is, urban (group) stereo perception web, urban (group) model web, and urban (group) space-time big data. [ABSTRACT FROM AUTHOR]

To analyze user influence based on big data from social network is helpful for recognizing users with good impact on the Internet and realizing their social and economic value. Traditional methods can not process massive social network data efficiently and analyze user influence quantitatively and precisely. To solve these problems, this paper proposed an advanced model of user influence evaluation, originating from classic PageRank algorithm, which took not only user connectivity but activity into consideration, and used Spark GraphX which supported massive parallel computing as a tool and realized analyzing influence of Weibo users quantitatively and precisely. Experiment shows that the approach proposed in this paper is a more efficient method with more precise results. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Remote Sensing is the property of Editorial Office of Journal of Remote Sensing & Science Publishing Co. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Geomatics & Information Science of Wuhan University is the property of Geomatics & Information Science of Wuhan University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)