Development of a component-based interactive visualization system for the analysis of ocean data

Wang, Yanjun; Li, Fuchao; Zhang, Bin; Li, Xiaofeng

doi:10.1080/20964471.2021.1994362

Cited by 5 publications

(1 citation statement)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To reveal the dynamic characteristics of geographic phenomena and discover their association patterns, they proposed an event-based spatiotemporal association rule mining framework with two strategies; a sequence and an episode [47]. To visualize marine dynamic environments, the three-dimensional temporal-spatial process visualization component based on particle system was designed [48], also the interactive multi-scale, multivariate visualization system with a unified visual data service and a component-based visualization structure was developed [49].…”

Section: Introductionmentioning

confidence: 99%

PoSDMS: A Mining System for Oceanic Dynamics with Time Series of Raster-Formatted Datasets

Xue

et al. 2022

Remote Sensing

View full text Add to dashboard Cite

Many effective and advanced methods have been developed to explore oceanic dynamics using time series of raster-formatted datasets; however, they have generally been designed at a scale suitable for data observation and used independently of each other, despite the potential advantages of combining different modules into an integrated system at a scale suited for dynamic evolution. From raster-formatted datasets to marine knowledge, we developed and integrated several mining algorithms at a dynamic evolutionary scale and combined them into six modules: a module of raster-formatted dataset pretreatment; a module of process-oriented object extraction; a module of process-oriented representation and management (process-oriented graph database); a module of process-oriented clustering; a module of process-oriented association rule mining; and a module of process-oriented visualization. On the basis of such modules, we developed a process-oriented spatiotemporal dynamic mining system named PoSDMS (Process-oriented Spatiotemporal Dynamics Mining System). PoSDMS was designed to have the capacity to deal with at least six environments of marine anomalies with 40 years of raster-formatted datasets, including their extraction, representation, storage, clustering, association and visualization. The effectiveness of the integrated system was evaluated in a case study of sea surface temperature datasets during the period from January 1982 to December 2021 in global oceans. The main contribution of this study was the development of a mining system at a scale suited for dynamic evolution, providing an analyzing platform or tool to deal with time series of raster-formatted datasets to aid in obtaining marine knowledge.

show abstract

Section: Introductionmentioning

confidence: 99%

PoSDMS: A Mining System for Oceanic Dynamics with Time Series of Raster-Formatted Datasets

Xue

et al. 2022

Remote Sensing

View full text Add to dashboard Cite

show abstract

Is quality cost or value-added service cost subsidy: Should the ocean big data supply chain adopt which cost subsidy approach of the government?

Wan

Teng

Zhang

et al. 2023

Ocean & Coastal Management

View full text Add to dashboard Cite

Routeview: an intelligent route planning system for ships sailing through Arctic ice zones based on big Earth data

Che

et al. 2022

International Journal of Digital Earth

View full text Add to dashboard Cite

Development of a component-based interactive visualization system for the analysis of ocean data

Cited by 5 publications

References 20 publications

PoSDMS: A Mining System for Oceanic Dynamics with Time Series of Raster-Formatted Datasets

PoSDMS: A Mining System for Oceanic Dynamics with Time Series of Raster-Formatted Datasets

Is quality cost or value-added service cost subsidy: Should the ocean big data supply chain adopt which cost subsidy approach of the government?

Routeview: an intelligent route planning system for ships sailing through Arctic ice zones based on big Earth data

Contact Info

Product

Resources

About