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Louai Alarabi, Saleh Basalamah, Abdeltawab Hendawi and Mohammed Abdalla
The rapid spread of infectious diseases is a major public health problem. Recent developments in fighting these diseases have heightened the need for a contact tracing process. Contact tracing can be considered an ideal method for controlling the transmi...
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Rodrigo Smarzaro, Clodoveu A. Davis, Jr. and José Alberto Quintanilha
One of the most significant challenges in cities concerns urban mobility. Urban mobility involves the use of different modes of transport, which can be individual or collective, and different organizations can produce their respective datasets that, usua...
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Hua Jiang, Junfeng Kang, Zhenhong Du, Feng Zhang, Xiangzhi Huang, Renyi Liu and Xuanting Zhang
Faced with the rapid growth of vector data and the urgent requirement of low-latency query, it has become an important and timely challenge to effectively achieve the scalable storage and efficient access of vector big data. However, a systematic method ...
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Maxime Lenormand and Horacio Samaniego
The relationship between urban mobility, social networks, and socioeconomic status is complex and difficult to apprehend, notably due to the lack of data. Here we use mobile phone data to analyze the socioeconomic structure of spatial and social interact...
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Kejia Huang, Chenliang Wang, Runying Liu and Guoxiong Chen
High-performance spatial target snapping is an essential function in 3D scene modeling and mapping that is widely used in mobile augmented reality (MAR). Spatial data snapping in a MAR system must be quick and accurate, while real-time human?computer int...
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Sujith Gunturu, Arslan Munir, Hayat Ullah, Stephen Welch and Daniel Flippo
To obtain more consistent measurements through the course of a wheat growing season, we conceived and designed an autonomous robotic platform that performs collision avoidance while navigating in crop rows using spatial artificial intelligence (AI). The ...
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Christoph Erlacher, Karl-Heinrich Anders, Piotr Jankowski, Gernot Paulus and Thomas Blaschke
Global sensitivity analysis, like variance-based methods for massive raster datasets, is especially computationally costly and memory-intensive, limiting its applicability for commodity cluster computing. The computational effort depends mainly on the nu...
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Chunchun Hu and Si Chen
The efficient discovery of significant group patterns from large-scale spatiotemporal trajectory data is a primary challenge, particularly in the context of urban traffic management. Existing studies on group pattern discovery mainly focus on the spatial...
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Kejia Huang, Chenliang Wang, Shaohua Wang, Runying Liu, Guoxiong Chen and Xianglong Li
With the extensive application of big spatial data and the emergence of spatial computing, augmented reality (AR) map rendering has attracted significant attention. A common issue in existing solutions is that AR-GIS systems rely on different platform-sp...
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Zhenlong Li, Wenwu Tang, Qunying Huang, Eric Shook and Qingfeng Guan
The convergence of big data and geospatial computing has brought challenges and opportunities to GIScience with regards to geospatial data management, processing, analysis, modeling, and visualization. This special issue highlights recent advancements in...
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Hanan Elazhary
Pág. pp. 86 - 102
Context-aware mobile applications can adapt to di�erent mobile, user and application contexts. Mobile cloud computing has been integrated with those applications to bene?t from the cloud resources and make up for the limited mobile resources. This pape...
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Wei Huang, Wen Zhang, Dongying Zhang and Lingkui Meng
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Jun-Hong Shen, Ching-Ta Lu, Mu-Yen Chen and Chien-Tang Mai
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Yiyi Wang, Kara M. Kockelman, Xiaokun (Cara) Wang
Pág. 75 - 85
This paper develops two new models and evaluates the impact of using different weight matrices on parameter estimates and inference in three distinct spatial specifications for discrete response. These specifications rely on a conventional, sparse, inver...
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Guiming Zhang
Volunteer-contributed geographic data (VGI) is an important source of geospatial big data that support research and applications. A major concern on VGI data quality is that the underlying observation processes are inherently biased. Detecting observatio...
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Bi Yu Chen, Huihuang Huang, Hui-Ping Chen, Wenxuan Liu, Xuan-Yan Chen and Tao Jia
The order k Voronoi diagram (OkVD) is an effective geometric construction to partition the geographical space into a set of Voronoi regions such that all locations within a Voronoi region share the same k nearest points of interest (POIs). Despite the br...
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Anthony Lehmann, Rebecca Chaplin-Kramer, Martin Lacayo, Grégory Giuliani, David Thau, Kevin Koy, Grace Goldberg and Richard Sharp Jr.
Sustainability challenges demand solutions, and the pace of technological and scientific advances in physical geography and Earth observation have great potential to provide the information needed to address these challenges. This paper highlights five o...
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Xiaochen Kang, Jiping Liu, Chun Dong and Shenghua Xu
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Yizhi Liu, Rutian Qing, Yijiang Zhao and Zhuhua Liao
Road intersections are essential to road networks. How to precisely recognize road intersections based on GPS data is still challenging in intelligent transportation systems. Road intersection recognition involves detecting intersections and recognizing ...
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Kaihua Hou, Chengqi Cheng, Bo Chen, Chi Zhang, Liesong He, Li Meng and Shuang Li
As the amount of collected spatial information (2D/3D) increases, the real-time processing of these massive data is among the urgent issues that need to be dealt with. Discretizing the physical earth into a digital gridded earth and assigning an integral...
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