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Yanan Wu, Yalin Yang and May Yuan
Conventional spatiotemporal methods take frequentist or density-based approaches to map event clusters over time. While these methods discern hotspots of varying continuity in space and time, their findings overlook locations of routine occurrences where...
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Guanyao Li, Xingdong Deng, Jianmin Xu, Yang Liu, Ji Zhang, Simin Xiong and Feng Gao
With the rapid development of localization techniques and the prevalence of mobile devices, massive amounts of trajectory data have been generated, playing essential roles in areas of user analytics, smart transportation, and public safety. Measuring tra...
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Wenwen Li, Sizhe Wang, Xiao Chen, Yuanyuan Tian, Zhining Gu, Anna Lopez-Carr, Andrew Schroeder, Kitty Currier, Mark Schildhauer and Rui Zhu
The past decade has witnessed an increasing frequency and intensity of disasters, from extreme weather, drought, and wildfires to hurricanes, floods, and wars. Providing timely disaster response and humanitarian aid to these events is a critical topic fo...
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Maryam Mubarak, Ali Tahir, Fizza Waqar, Ibraheem Haneef, Gavin McArdle, Michela Bertolotto and Muhammad Tariq Saeed
The accessibility of spatial big data help real estate investors to make better judgement calls and earn additional profit. Since location is considered necessary for real estate and consequent decision-making, digital maps have become a prime resource f...
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Joao Mesquitela, Luis B. Elvas, Joao C Ferreira and Luis Nunes
Traffic accidents in urban areas lead to reduced quality of life and added pressure in the cities? infra-structures. In the context of smart city data is becoming available that allows a deeper analysis of the phenomenon. We propose a data fusion process...
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Manish Kumar Pandey, Anu Saini, Karthikeyan Subbiah, Nalini Chintalapudi and Gopi Battineni
Globally, smart cities, infrastructure, and transportation have led to a rise in vehicle numbers, resulting in an increasing number of problems. This includes problems such as air pollution, noise pollution, high energy consumption, and people?s health. ...
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Heba Ismail, Ashraf Khalil, Nada Hussein and Rawan Elabyad
This research proposes a well-being analytical framework using social media chatter data. The proposed framework infers analytics and provides insights into the public?s well-being relevant to education throughout and post the COVID-19 pandemic through a...
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Justyna Witulska, Pawel Stefaniak, Bartosz Jachnik, Artur Skoczylas, Pawel Sliwinski and Marek Dudzik
The Inertial Measurement Unit (IMU) is widely used in the monitoring of mining assets. A good example is the Polish underground copper ore mines of KGHM, where research work with the use of the IMU has been carried out for several years. The potential of...
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Chang Ren, Luliang Tang, Jed Long, Zihan Kan and Xue Yang
The acquisition of human trajectories facilitates movement data analytics and location-based services, but gaps in trajectories limit the extent in which many tracking datasets can be utilized. We present a model to estimate place visit probabilities at ...
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Andrew Marx, Mia Poynor, Young-Kyung Kim and Lauren Oberreiter
Large-scale humanitarian disasters often disproportionately damage poor communities. This effect is compounded when communities are remote with limited connectivity and response is slow. While humanitarian response organizations are increasingly using a ...
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