research-article

An Integrated Visual Analytics Framework for Spatiotemporal Data

Authors:

Liang LongAuthors Info & Claims

ARIC'18: Proceedings of the 1st ACM SIGSPATIAL Workshop on Advances on Resilient and Intelligent Cities

Pages 41 - 45

https://doi.org/10.1145/3284566.3284574

Published: 06 November 2018 Publication History

Abstract

Visual analytics 1 for spatiotemporal data is an essential issue in shown the patterns of the spatial data mining results. To deal with challenges caused by dynamic spatiotemporal data require efficient visual analytics that visualizes real-time and dynamic spatial data. We proposed and implemented an integrated visual analytics framework. It integrated open source map library, visual library, and modern web development technology. It made use of Spark Streaming in real-time data processing while real-time mapping results on the DataFlowLayer. Visual analytics framework for dynamic objects is built based on high-performance processing and hardware mixed acceleration strategies. Benchmark experiments showed that it achieved excellent performance for visualizing spatiotemporal data.

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Cited By

Monadjemi SKim JAmichi LDe DThakur GChristopher C(2024)A Visual Analytic Platform for Interactive Validation of Human Mobility SimulationsProceedings of the 7th ACM SIGSPATIAL International Workshop on GeoSpatial Simulation10.1145/3681770.3698570(1-10)Online publication date: 29-Oct-2024
https://dl.acm.org/doi/10.1145/3681770.3698570

An Integrated Visual Analytics Framework for Spatiotemporal Data
1. Human-centered computing
  1. Visualization
    1. Visualization application domains
2. Information systems
  1. Information systems applications

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Information & Contributors

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Published In

cover image ACM Conferences

ARIC'18: Proceedings of the 1st ACM SIGSPATIAL Workshop on Advances on Resilient and Intelligent Cities

November 2018

51 pages

ISBN:9781450360395

DOI:10.1145/3284566

Editors:
Bandana Kar
Oak Ridge National Laboratory, TN, USA
,
Olufemi A. Omitaomu
Oak Ridge National Laboratory, TN, USA
,
Shima Mohebbi
University of Oklahoma, OK, USA
,
Guangtao Fu
University of Exeter, Exeter, England

Copyright © 2018 ACM.

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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

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Published: 06 November 2018

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SIGSPATIAL '18

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SIGSPATIAL

SIGSPATIAL '18: 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 6, 2018

WA, Seattle, USA

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Cited By

Monadjemi SKim JAmichi LDe DThakur GChristopher C(2024)A Visual Analytic Platform for Interactive Validation of Human Mobility SimulationsProceedings of the 7th ACM SIGSPATIAL International Workshop on GeoSpatial Simulation10.1145/3681770.3698570(1-10)Online publication date: 29-Oct-2024
https://dl.acm.org/doi/10.1145/3681770.3698570

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