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Zebang Liu, Luo Chen, Anran Yang, Mengyu Ma and Jingzhi Cao
In the big data era, rapid visualization of large-scale vector data has become a serious challenge in Geographic Information Science (GIS). To fill the gap, we propose HiIndex, a spatial index that enables real-time and interactive visualization of large...
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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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Mihal Miu, Xiaokun Zhang, M. Ali Akber Dewan and Junye Wang
Geospatial information plays an important role in environmental modelling, resource management, business operations, and government policy. However, very little or no commonality between formats of various geospatial data has led to difficulties in utili...
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Mihal Miu, Xiaokun Zhang, M. Ali Akber Dewan and Junye Wang
Geospatial information plays an important role in environmental modelling, resource management, business operations, and government policy. However, very little or no commonality between formats of various geospatial data has led to difficulties in utili...
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Shiwei Lu, Shih-Lung Shaw, Zhixiang Fang, Xirui Zhang and Ling Yin
The introduction of the Huff model is of critical significance in many fields, including urban transport, optimal location planning, economics and business analysis. Moreover, parameters calibration is a crucial procedure before using the model. Previous...
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Apichon Witayangkurn, Ayumi Arai and Ryosuke Shibasaki
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Ran Tao, Zhaoya Gong, Qiwei Ma and Jean-Claude Thill
One of the enduring issues of spatial origin-destination (OD) flow data analysis is the computational inefficiency or even the impossibility to handle large datasets. Despite the recent advancements in high performance computing (HPC) and the ready avail...
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Rahil Sharma, Zewei Xu, Ramanathan Sugumaran and Suely Oliveira
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Aopeng Xu, Zhiyuan Zhang, Xiaqing Ma, Zixiang Zhang and Tao Xu
As a basic method of spatial data operation, spatial keyword query can provide meaningful information to meet user demands by searching spatial textual datasets. How to accurately understand users? intentions and efficiently retrieve results from spatial...
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Ziwei Huang, Shaoying Li, Yihuan Peng and Feng Gao
The development of the county economy in China is a complicated process that is influenced by many factors in different ways. This study is based on multi-source big data, such as Tencent user density (TUD) data and point of interest (POI) data, to calcu...
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Wenjun Zou, Lei Wu, Yunrui Chang and Qiang Niu
Ride-hailing, a newly emerging mobility service that is popular worldwide, has become an efficient new mode of transportation. Nonetheless, the use and value of ride-hailing remain unclear for newly developed areas in the suburbs. We crawled through the ...
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Lei Zhou, Ming Liu, Zhenlong Zheng and Wei Wang
Commercial and residential spaces are two core types of geographical objects in urban areas. However, these two types of spaces are not independent of each other. Spatial associations exist between them, and a thorough understanding of this spatial assoc...
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Shuai Zhang and Hua Wei
The accurate identification of urban agglomeration spatial area is helpful in understanding the internal spatial relationship under urban expansion and in evaluating the development level of urban agglomeration. Previous studies on the identification of ...
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Yan Yan, Zichao Sun, Adnan Mahmood, Fei Xu, Zhuoyue Dong and Quan Z. Sheng
Statistical partitioning and publishing is commonly used in location-based big data services to address queries such as the number of points of interest, available vehicles, traffic flows, infected patients, etc., within a certain range. Adding noise per...
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Salwa Rizqina Putri, Arie Wahyu Wijayanto and Anjar Dimara Sakti
Poverty data are usually collected through on-the-ground household-based socioeconomic surveys. Unfortunately, data collection with such conventional methods is expensive, laborious, and time-consuming. Additional information that can describe poverty wi...
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Ahmad M. Senousi, Junwei Zhang, Wenzhong Shi and Xintao Liu
A city is a complex system that never sleeps; it constantly changes, and its internal mobility (people, vehicles, goods, information, etc.) continues to accelerate and intensify. These changes and mobility vary in terms of the attributes of the city, suc...
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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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Shimei Wei and Jinghu Pan
In light of the long-term pressure and short-term impact of economic and technological globalization, regional and urban resilience has become an important issue in research. As a new organizational form of regional urban systems, the resilience of urban...
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Yoon-Ji Kim, Jeong-Seok Lee, Alessandro Pititto, Luigi Falco, Moon-Suk Lee, Kyoung-Kuk Yoon and Ik-Soon Cho
For developing national maritime traffic routes through the coastal waters of Korea, the customary maritime traffic flow must be accurately identified and quantitatively evaluated. In this study, the occupancy time of ships in cells was calculated throug...
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