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Miao Tian, Xinxin Hu, Jiakai Huang, Kai Ma, Haiyan Li, Shuai Zheng, Liufeng Tao and Qinjun Qiu
The growing proliferation of geographic information presents a substantial challenge to the traditional framework of a geographic information analysis and service. The dynamic integration and representation of geographic knowledge, such as triples, with ...
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Shuqiang Xu, Qunying Huang and Zhiqiang Zou
Location-based social networks (LBSN) allow users to socialize with friends by sharing their daily life experiences online. In particular, a large amount of check-ins data generated by LBSNs capture the visit locations of users and open a new line of res...
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Shiqin Yang, Zisheng Yang, Renyi Yang and Xueli Cai
In addition to being necessary for the stability, coordination, and sustainable growth of the national economy, narrowing the urban?rural income gap is also an ?Important national matter? for the long-term security of the nation. ?Big mountain areas, big...
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Zhixin Yao, Jianqin Zhang, Taizeng Li and Ying Ding
Trajectory big data is suitable for distributed storage retrieval due to its fast update speed and huge data volume, but currently there are problems such as hot data writing, storage skew, high I/O overhead and slow retrieval speed. In order to solve th...
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Yue Han, Lin Liu, Qiaoli Sui and Jiaxing Zhou
There are many factors affecting poverty, among which education is an important one. Firstly, from the perspective of digital statistics, this research quantitatively analyzes the correlation between average education years (AEY) and Gross Domestic Produ...
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Carolynne Hultquist, Zita Oravecz and Guido Cervone
Citizen-led movements producing spatio-temporal big data are potential sources of useful information during hazards. Yet, the sampling of crowdsourced data is often opportunistic and the statistical variations in the datasets are not typically assessed. ...
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Vasilis Kopsachilis, Lucia Siciliani, Marco Polignano, Pol Kolokoussis, Michail Vaitis, Marco de Gemmis and Konstantinos Topouzelis
Scientists in the marine domain process satellite images in order to extract information that can be used for monitoring, understanding, and forecasting of marine phenomena, such as turbidity, algal blooms and oil spills. The growing need for effective r...
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Peng Ye, Xueying Zhang, An Huai and Wei Tang
Typhoon is one of the most destructive natural disasters in the world. Real-time information on the process of typhoon events serves as important reference for disaster emergency. In the era of big data, microblog text has been gradual applied to the pre...
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Anna Kovacs-Györi, Alina Ristea, Clemens Havas, Michael Mehaffy, Hartwig H. Hochmair, Bernd Resch, Levente Juhasz, Arthur Lehner, Laxmi Ramasubramanian and Thomas Blaschke
Urban systems involve a multitude of closely intertwined components, which are more measurable than before due to new sensors, data collection, and spatio-temporal analysis methods. Turning these data into knowledge to facilitate planning efforts in addr...
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Elias Dritsas, Andreas Kanavos, Maria Trigka, Gerasimos Vonitsanos, Spyros Sioutas and Athanasios Tsakalidis
Privacy Preserving and Anonymity have gained significant concern from the big data perspective. We have the view that the forthcoming frameworks and theories will establish several solutions for privacy protection. The k-anonymity is considered a key sol...
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