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Multi View Spatial-Temporal Model for Travel Time Estimation [article]

ZiChuan Liu, Zhaoyang Wu, Meng Wang, Rui Zhang
2021 arXiv   pre-print
Specifically, we use graph2vec to model the spatial view, dual-channel temporal module to model the trajectory view, and structural embedding to model the traffic semantics.  ...  Therefore, we propose a Multi-View Spatial-Temporal Model (MVSTM) to capture the dependence of spatial-temporal and trajectory.  ...  In future research, we will consider some novel spatio-temporal map methods and add POI interest nodes to represent travel. Figure 1 : 1 The Architecture of MVSTM.  ... 
arXiv:2109.07402v2 fatcat:mmjbisapezba7d47hlsghsnkba

A Survey on Societal Event Forecasting with Deep Learning [article]

Songgaojun Deng, Yue Ning
2021 arXiv   pre-print
Forecasting such events is of great importance for decision-making and resource allocation.  ...  Then, we summarize data resources, traditional methods, and recent development of deep learning models for these problems.  ...  The first part is spatial-temporal weighted graph (STWG) inference. It results in a graph representation for the spatio-temporal evolution of the data.  ... 
arXiv:2112.06345v1 fatcat:jtdlo67bbbazhj6xea55h6bbqa

2021 Index IEEE Transactions on Multimedia Vol. 23

2021 IEEE transactions on multimedia  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TMM 2021 4220-4231 Learning Dual-Pooling Graph Neural Networks for Few-Shot Video Classi-fication.  ...  Liu, Q., +, TMM 2021 2114-2126 Learning Dual-Pooling Graph Neural Networks for Few-Shot Video Classification.  ... 
doi:10.1109/tmm.2022.3141947 fatcat:lil2nf3vd5ehbfgtslulu7y3lq

A Survey on Big Data for Trajectory Analytics

Damião Ribeiro de Almeida, Cláudio de Souza Baptista, Fabio Gomes de Andrade, Amilcar Soares
2020 ISPRS International Journal of Geo-Information  
Hence, Spatial Big Data emerges as a data management technology for indexing, storing, and retrieving large volumes of spatio-temporal data.  ...  A Data Warehouse (DW) is one of the premier Big Data analysis and complex query processing infrastructures. Trajectory Data Warehouses (TDW) emerge as a DW dedicated to trajectory data analysis.  ...  DiStRDF is a distributed system that uses RDF to process spatio-temporal queries in a network of heterogeneous databases. In Nikitopoulos et al.'  ... 
doi:10.3390/ijgi9020088 fatcat:bgpfxcx5jngd7cjcj6u4fl4jpi

A Survey on Trajectory Data Management, Analytics, and Learning [article]

Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Gao Cong
2020 arXiv   pre-print
In this survey, we comprehensively review recent research trends in trajectory data management, ranging from trajectory pre-processing, storage, common trajectory analytic tools, such as querying spatial-only  ...  Recent advances in sensor and mobile devices have enabled an unprecedented increase in the availability and collection of urban trajectory data, thus increasing the demand for more efficient ways to manage  ...  to capture user preferences in addition to the spatio-temporal contexts.  ... 
arXiv:2003.11547v2 fatcat:5gf5h5skqjbrhf67cflygggnky

MTPR: A Multi-Task Learning Based POI Recommendation Considering Temporal Check-Ins and Geographical Locations

Bin Xia, Yuxuan Bai, Junjie Yin, Qi Li, Lijie Xu
2020 Applied Sciences  
In this paper, we propose a multi-task learning model based POI recommender system which exploits a structure of generative adversarial networks (GAN) simultaneously considering temporal check-ins and  ...  However, due to the differences between LBSNs and conventional recommendation tasks, besides the user feedback, the spatio-temporal information is also significant to precisely capture the user preferences  ...  Inspired by the end-to-end memory networks, Xia et al. proposed an attention-based recurrent neural network, which exploited the external memory for matching the user preference and historical check-in  ... 
doi:10.3390/app10196664 fatcat:7inzkhfcr5afppwphjcvkup5vu

Modeling and Multiple Perceptions [chapter]

Christine Parent, Stefano Spaccapietra, Esteban Zimányi
2017 Encyclopedia of GIS  
Cross-References Computer Environments for GIS and CAD Movement Patterns in Spatio-Temporal Data Cross-References Geospatial Semantic Web, Interoperability Metadata and Interoperability, Geospatial  ...  Modeling with Pictogrammic Languages OGC's Open Standards for Geospatial Interoperability Vector Data Cross-References Indexing, Query and Velocity-Constrained Privacy Threats in Location-Based Services  ...  More complex temporal and spatio-temporal expressions can be made.  ... 
doi:10.1007/978-3-319-17885-1_805 fatcat:d4t4ossygvcutpfabqn6f3hjcm

Thiessen Polygons [chapter]

2017 Encyclopedia of GIS  
Temporal geographic information systems (GIS)  ...  Definition Geographic information is inherently spatial and temporal. Geographic applications often demand an integrative approach to examine changes and interactions over space and time.  ...  Cross-References Fastest-Path Computation Graph Theory, Konigsberg Problem Nearest Neighbor Problem Routing Vehicles, Algorithms  ... 
doi:10.1007/978-3-319-17885-1_101387 fatcat:gzp2stwscbcf7eupd3h6eztjri

Moving Objects Analytics: Survey on Future Location & Trajectory Prediction Methods [article]

Harris Georgiou, Sophia Karagiorgou, Yannis Kontoulis, Nikos Pelekis, Petros Petrou, David Scarlatti, Yannis Theodoridis
2018 arXiv   pre-print
CCS Concepts: Information systems > Spatial-temporal systems; Information systems > Data analytics; Information systems > Data mining; Computing methodologies > Machine learning Additional Key Words and  ...  This source of information constitutes a rich input for data analytics processes, either offline (e.g. cluster analysis, hot motion discovery) or online (e.g. short-term forecasting of forthcoming positions  ...  queries that include predictive spatio-temporal range, aggregate (number of objects), and k-nn queries, as well as continuous queries.  ... 
arXiv:1807.04639v1 fatcat:lvje57kod5eldaplkl53wbwgti

A Novel Traffic Flow Reduction Method Based on Incomplete Vehicle History Spatio-Temporal Trajectory Data

Bowen Yang, Zunhao Liu, Zhi Cai, Dongze Li, Xing Su, Limin Guo, Zhiming Ding
2022 ISPRS International Journal of Geo-Information  
For this purpose, a novel trajectory data cube model (TDC) is designed to store time, position, and velocity information hierarchically in the trajectory data.  ...  In order to improve the effect of path planning in emergencies, the missing position imputation and velocity restoration in vehicle trajectory provide data support for emergency path planning and analysis  ...  POIs.  ... 
doi:10.3390/ijgi11030209 fatcat:elujinrserd7zpghwrxctkzc5y

Geotagging in multimedia and computer vision—a survey

Jiebo Luo, Dhiraj Joshi, Jie Yu, Andrew Gallagher
2010 Multimedia tools and applications  
The retrieval process involves (i) performing spatio-temporal filtering to get relevant videos, (ii) ranking videos by the overlap of their FOVs with the query region.  ...  The process of querying a POI database given a GPS co-ordinate is known as reverse-geocoding.  ... 
doi:10.1007/s11042-010-0623-y fatcat:esd7subpbjhntpes6quvngtwti

OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing

John E. Vargas Munoz, Shivangi Srivastava, Devis Tuia, Alexandre X. Falcao
2020 IEEE Geoscience and Remote Sensing Magazine  
The authors use neural networks to model road network topology and residual learning [81] to model spatio-temporal dependencies.  ...  In [44] the authors propose a graph convolutional network based method for driving speed estimation of road segments.  ... 
doi:10.1109/mgrs.2020.2994107 fatcat:qwv7nypcsnb33hap37jsjqftru

Machine Learning of Spatial Data

Behnam Nikparvar, Jean-Claude Thill
2021 ISPRS International Journal of Geo-Information  
Properties of spatially explicit data are often ignored or inadequately handled in machine learning for spatial domains of application.  ...  While the latter have been far less explored, we argue that they offer the most promising prospects for the future of spatial machine learning.  ...  [160] proposed a spatio-temporal graph neural network with attention mechanism and LSTM units to jointly learn spatial-temporal dependencies on traffic networks.  ... 
doi:10.3390/ijgi10090600 fatcat:fqvu4og76newree6pakfqgdbia

A critical evaluation of location based services and their potential

Jonathan Raper, Georg Gartner, Hassan Karimi, Chris Rizos
2007 Journal of Location Based Services  
The first question requires the use of position determination technology (PDT) that is either carried by the person initiating the query, e.g. a GPS receiver, or is accessed over a network connection,  ...  This kind of query is dependent on both geopositioning and the availability of 'point of interest' databases.  ...  Acknowledgements The Editorial team of JLBS wish to thank the publishing team at Taylor and Francis for their support in establishing the Journal, the members of the Editorial Board who have reviewed this  ... 
doi:10.1080/17489720701584069 fatcat:spmkpyyds5bzfnmu7dgidrcpqq

2020 Index IEEE Transactions on Industrial Informatics Vol. 16

2020 IEEE Transactions on Industrial Informatics  
Forests-Based Model for Ultra-Short-Term Prediction of PV Characteristics; TII Jan. 2020 202-214 Imran, A., see Hussain, B., TII Aug. 2020 4986-4996 Imran, M., see Fu, S., TII Sept. 2020 6013-6022  ...  Cai, H., TII Jan. 2020 587-594 Jiang, L., see Xia, Z., TII Jan. 2020 629-638 Jiang, Q., Yan, S., Yan, X., Yi, H., and Gao, F., Data-Driven Two-Dimensional Deep Correlated Representation Learning for  ...  ., +, TII Jan. 2020 595-605 Histogram of Fuzzy Local Spatio-Temporal Descriptors for Video Action Recognition.  ... 
doi:10.1109/tii.2021.3053362 fatcat:blfvdtsc3fdstnk6qoaazskd3i
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