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Jianfei Wang and Wen Cao
In the era of big data, a significant volume of spatiotemporal data exists in a multiscale format, describing diverse phenomena in the objective world across different spatial and temporal scales. While existing methods focus on analyzing the features an...
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Changlock Choi and Seong-Yun Hong
The increasing use of mobile devices and the growing popularity of location-based ser-vices have generated massive spatiotemporal data over the last several years. While it provides new opportunities to enhance our understanding of various urban dynamics...
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Bao Zhou, Junsan Zhao, Guoping Chen and Ying Yin
With the popularity of spatiotemporal big data applications, more and more sensitive data are generated by users, and the sharing and secure storage of spatiotemporal big data are faced with many challenges. In response to these challenges, the present p...
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Wen Cao, Wenhao Liu, Xiaochong Tong, Jianfei Wang, Feilin Peng, Yuzhen Tian and Jingwen Zhu
To understand the complex phenomena in social space and monitor the dynamic changes in people?s tracks, we need more cross-scale data. However, when we retrieve data, we often ignore the impact of multi-scale, resulting in incomplete results. To solve th...
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Anqi Wang, Anshu Zhang, Edwin H. W. Chan, Wenzhong Shi, Xiaolin Zhou and Zhewei Liu
Along with the increase of big data and the advancement of technologies, comprehensive data-driven knowledge of urban systems is becoming more attainable, yet the connection between big-data research and its application e.g., in smart city development, i...
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Xin Xiao, Chaoyang Fang and Hui Lin
?A picture is worth a thousand words?. Analysis of the visual content of tourist photos is an effective way to explore the image of tourist destinations. With the development of computer deep learning and big data mining technology, identifying the conte...
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Md Anwarul Islam, Md Azher Uddin and Young-Koo Lee
This work can be applied for automatic video annotation.
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Yun Li, Yongyao Jiang, Justin C. Goldstein, Lewis J. Mcgibbney and Chaowei Yang
One longstanding complication with Earth data discovery involves understanding a user?s search intent from the input query. Most of the geospatial data portals use keyword-based match to search data. Little attention has focused on the spatial and tempor...
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Luling Cheng, Xue Yang, Luliang Tang, Qian Duan, Zihan Kan, Xia Zhang and Xinyue Ye
In taxi management, taxi-driver shift behaviors play a key role in arranging the operation of taxis, which affect the balance between the demand and supply of taxis and the parking spaces. At the same time, these behaviors influence the daily travel of c...
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Hongbin He, Yonglin Shen, Changmin Jiang, Tianqi Li, Mingqiang Guo and Ling Yao
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Mohamed Batran, Mariano Gregorio Mejia, Hiroshi Kanasugi, Yoshihide Sekimoto and Ryosuke Shibasaki
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Min Sun, Jing Li, Chaowei Yang, Gavin A. Schmidt, Myra Bambacus, Robert Cahalan, Qunying Huang, Chen Xu, Erik U. Noble and Zhenlong Li
Climate studies involve petabytes of spatiotemporal datasets that are produced and archived at distributed computing resources. Scientists need an intuitive and convenient tool to explore the distributed spatiotemporal data. Geovisual analytical tools ha...
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Bing Han, Mingxing Hu, Jiemin Zheng and Tan Tang
The rapid expansion of cities brings in new challenges for the urban firefighting security, while the increasing fire frequency poses serious threats to the life, property, and safety of individuals living in cities. Firefighting in cities is a challengi...
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Bing Han, Mingxing Hu and Jialing Wang
Rapid economic and social development has been accompanied by the occurrence of many major issues throughout the world. Specifically, there is an ever-increasing demand for emergent medical services among the public. In order to ensure timely responses t...
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Thomas Lemmerz, Stefan Herlé and Jörg Blankenbach
The availability of spatial and spatiotemporal big data is increasing rapidly. Spatially and temporally high resolved data are especially gathered via the Internet of Things. This data can often be accessed as data streams that push new data tuples conti...
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Xiaoming Zhang, Feng Gao, Shunyi Liao, Fan Zhou, Guanfang Cai and Shaoying Li
Mobile phone data is a typical type of big data with great potential to explore human mobility and individual portrait identification. Previous studies in population classifications with mobile phone data only focused on spatiotemporal mobility patterns ...
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Jiwei Qin, Liangli Ma and Jinghua Niu
The rapid development of distributed technology has made it possible to store and query massive trajectory data. As a result, a variety of schemes for big trajectory data management have been proposed. However, the factor of data transmission is not cons...
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Majid Dehghani, Somayeh Salehi, Amir Mosavi, Narjes Nabipour, Shahaboddin Shamshirband and Pedram Ghamisi
Temporary changes in precipitation may lead to sustained and severe drought or massive floods in different parts of the world. Knowing the variation in precipitation can effectively help the water resources decision-makers in water resources management. ...
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Xuefeng Guan, Jingbo Li, Changlan Yang and Weiran Xing
Driving analysis of urban expansion (DAUE) is usually implemented to identify the driving factors and their corresponding driving effects/mechanisms for the expansion processes of urban land, aiming to provide scientific guidance for urban planning and m...
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Qianqian Cao, Guoqing Li, Xiaochuang Yao and Yue Ma
In the face of tight natural resources and complex as well as volatile environments, and in order to meet the pressure brought by population growth, we need to overcome a series of challenges. As a new data management paradigm, the Earth Observation Data...
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