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The City Brain: Practice of Large-Scale Artificial Intelligence in the Real World
2019
IET Smart Cities
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Then they focus on the system overview and key technical details of each component of the City Brain system, from cognition to intervention. ...
In this study, the authors introduce current practices of the City Brain platform in a few cities in China, including what they can do to achieve the goal and make it a reality. ...
The system consists of three major stages, including stream accessing stage, visual structuring stage, and large-scale visual search stage. ...
doi:10.1049/iet-smc.2019.0034
fatcat:45qm7t5qgve7hgyvfzjl7huocq
A Markovian measure for evaluating accessibility to urban opportunities
2019
Journal of Transport and Land Use
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In doing so, to address the questions of (1) how accessible urban opportunities are in different time moments and (2) how accessibility value of a person to a certain place changes regarding his/her spatiotemporal ...
Accessibility is a fundamental notion in urban planning and its related fields. ...
Levinson, and the anonymous reviewers for their insightful and constructive comments. ...
doi:10.5198/jtlu.2019.1408
fatcat:3def3ix5rbft7plyj4tbpqjjkq
Big Data and Cloud Computing
[chapter]
2019
Manual of Digital Earth
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In addition, these geospatial data are formatted in various data models, e.g., vector and raster, structured and unstructured. ...
All types of geospatial data require a more effective data structure, framework, index, model, management methodology, and tactics. ...
For example, Amirebrahimi et al. (2016) assessed and visualized flood damage using 3D urban modeling and a building information model (BIM), improving the resilience of the community to floods using ...
doi:10.1007/978-981-32-9915-3_9
fatcat:n4drlq63tvfczbvfaopvkkhec4
Automatic Reasoning about Causal Events in Surveillance Video
2011
EURASIP Journal on Image and Video Processing
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This models the input to the "sensors" of the person agent in the scene and is a general sensing strategy for a person agent in a variety of application domains. ...
We extract and maintain a set of qualitative descriptions of single-person activity using the low-level vision techniques of spatiotemporal action recognition and gaze-direction approximation. ...
Acknowledgment Neil Robertson was supported by the Royal Commission for the Exhibition of 1851 and the UK Ministry of Defence. ...
doi:10.1155/2011/530325
fatcat:v6gt42qhlrgnzbdlq7nuodrbnq
Urban Energy Systems: Research at Oak Ridge National Laboratory
[chapter]
2021
The Urban Book Series
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components: data, critical infrastructure models, and scalable computation and visualization, all within the context of physical and social systems. ...
Urban areas are dictated by complex intersections among physical, engineered, and human dimensions that have significant implications for traffic congestion, emissions, and energy usage. ...
The authors would like to acknowledge the funding support from US Government agencies and the Bill and Melinda Gates Foundation for the research discussed here. ...
doi:10.1007/978-981-15-8983-6_18
fatcat:upa6a2xk5zelln54yyfurrrade
Physical co-presence intensity: Measuring dynamic face-to-face interaction potential in public space using social media check-in records
2019
PLoS ONE
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By adding temporal and social dimensions to urban morphology studies, and the field of space syntax research in particular, we suggest a new approach of analyzing the temporal urban centrality structures ...
The shifting encounter potentials through streets are recognized as reflections of urban centrality structures with social interactions that are spatiotemporally varying, projected in the configurations ...
The overall urban polycentric structure can be discovered across time based on visual judgment, although the shape of the co-presence cores changes dynamically. ...
doi:10.1371/journal.pone.0212004
pmid:30742673
pmcid:PMC6370218
fatcat:eb5u7mo73jcz7blpt7fxponuje
Spatiotemporal data model for network time geographic analysis in the era of big data
2015
International Journal of Geographical Information Science
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Efficient spatial operations and index structures can be directly utilized to implement spatiotemporal operations and queries for network time geographic entities in CLR space. ...
The case study indicates that the proposed spatiotemporal data model is effective and efficient for storing, managing, and querying large-scale datasets of network time geographic entities. ...
Acknowledgment The authors are thankful to the anonymous referees for their comments and suggestions that improved this article. ...
doi:10.1080/13658816.2015.1104317
fatcat:rybjxthz6zbihhsuv75rkn47de
On how to incorporate public sources of situational context in descriptive and predictive models of traffic data
2021
European Transport Research Review
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and predictive models of urban traffic data? ...
impact of different context factors (including weather, traffic interdictions and public events) on different transportation modes using different spatiotemporal traffic data structures; and A review ...
Acknowledgements The authors thank the support of CARRIS, METRO and Câmara Municipal de Lisboa) (particularly, Gabinete de Mobilidade and Centro de Operações Integrado) for the data provision and valuable ...
doi:10.1186/s12544-021-00519-w
fatcat:u3y4vk33orbsjeualot2kqawjm
Integrative analysis of multimodal traffic data: addressing open challenges using big data analytics in the city of Lisbon
2021
European Transport Research Review
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First, it provides a structured view on the scientific and technical challenges and opportunities for data-centric multimodal mobility decisions. ...
The reported work is anchored on the major findings and contributions from the research and innovation project Integrative Learning from Urban Data and Situational Context for City Mobility Optimization ...
Acknowledgements The authors thank the support of CARRIS, METRO and the Lisbon City Council (Câmara Municipal de Lisboa) and its Gabinete de Mobilidade and Centro de Operações Integrado for the data provision ...
doi:10.1186/s12544-021-00520-3
fatcat:atdack4iwzbfdp22r5nlmw4lhm
A Natural-language-based Visual Query Approach of Uncertain Human Trajectories
2019
IEEE Transactions on Visualization and Computer Graphics
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Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2019 pre-print arXiv:1908.00277v1 fatcat:b2x4lauxl5fhzlfvhzdkdkxte4Other Versions
In this paper, we propose a visual analytics approach that can extract spatial-temporal constraints from a textual sentence and support an effective query method over uncertain mobile trajectory data. ...
On the other hand, domain experts and general users prefer a natural way, such as using a natural language sentence, to access and analyze massive movement data. ...
NSF grants 1535031, 1535081, and 1739491. ...
doi:10.1109/tvcg.2019.2934671
pmid:31443013
fatcat:pa7womdqdrasnl6awvhoynuuhi
A Visual Analytics Web Platform for Detecting High Wind Energy Potential in Urban Environments by Employing OGC Standards
2021
ISPRS International Journal of Geo-Information
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in an urban area. ...
We propose a Visual Analytics platform based on a server-client web architecture capable of identifying areas with high wind energy potential by employing 3D technologies and Open Geospatial Consortium ...
CityGML provides a semantic and geometric representation model for city entities as a semi-structured format encoded in XML. ...
doi:10.3390/ijgi10100707
fatcat:hanvhabln5gnhjtgaxz4o3fzrq
Control Models and Spatiotemporal Characteristics of Air Pollution in the Rapidly Developing Urban Agglomerations
2021
International Journal of Environmental Research and Public Health
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regions in urban agglomeration, create innovative pollution discharge supervision mechanisms, in order to provide significant reference for the joint prevention and control of air pollution in urban agglomerations ...
involving industry access, energy structure, green transportation, cross-regional assistance, monitoring and warning, consultation, and accountability. ...
Acknowledgments: Many thanks go to the editor and the anonymous reviewers for their careful reading of the manuscript with many insightful comments and suggestions on improving the quality of this paper ...
doi:10.3390/ijerph18116177
pmid:34200515
pmcid:PMC8201052
fatcat:jzxk7pt4zvf4tfui56k534pvbm
Quantifying and Characterizing Urban Leisure Activities by Merging Multiple Sensing Big Data: A Case Study of Nanjing, China
2021
Land
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It has outstanding value for improving rational resource allocation, stimulating urban vitality, and promoting sustainable urban development. ...
Studying the spatiotemporal pattern of urban leisure activities helps us to understand the development and utilization of urban public space, people's quality of life, and the happiness index. ...
The spatiotemporal similarity is visualized as a heatmap in Figure 7 . ...
doi:10.3390/land10111214
fatcat:fb2vssaqprc57fijx2got4bxpq
Spatiotemporal Data Mining: A Survey on Challenges and Open Problems
[article]
2021
arXiv
pre-print
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Moreover, we discuss the limitations in the literature and open research problems related to spatiotemporal data representations, modelling and visualisation, and comprehensiveness of approaches. ...
Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay between space and time. ...
Limited Access and Privacy Mining spatiotemporal data is often restricted by limited access due to privacy issues. Spatiotemporal datasets may contain information about public behaviours and norms. ...
arXiv:2103.17128v1
fatcat:ci5pt5bytndr5inolznjsaizpi
Cross-Covariance Models
[chapter]
2017
Encyclopedia of GIS
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The complexity of spatial data and intrinsic spatial relationships limits the usefulness of conventional data mining techniques for extracting spatial patterns. ...
Acknowledgements We would like to thank Keith Harries, Dan Helms, Chris Maxwell and Susan Wernicke-Smith for providing comments on this entry in a very short time. ...
This irrecoverable problem makes the relational data model impractical for handling spatiotemporal data. Using constraint data model can solve this problem. ...
doi:10.1007/978-3-319-17885-1_100240
fatcat:2ojzb7es7rhofinw4abol6dgc4
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