A high performance web-based system for analyzing and visualizing spatiotemporal data for climate studies

Zhenlong Li, Chaowei Yang, Min Sun, Jing Li, Chen Xu, Qunying Huang, Kai Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Scopus citations


Large amount of data are produced at different spatiotemporal scales by many sensors observing Earth and model simulations. Although advancements of contemporary technologies provide better solutions to access the spatiotemporal data, it is still a big challenge for researchers to easily extract information and knowledge from the data due to the data complexities of high dimensions, heterogeneity, distribution, large amount and frequently updating. This is especially true in climate studies, because climate data with coverage of the entire Earth and a long time period (such as 200 years) are often required to extract useful climate change information and patterns. A well-developed online visual analytical system has the potential to provide an efficient mechanism to bridge this gap. Using performance improving techniques for an online visual analytical system, we researched and developed a high performance Web-based system for spatiotemporal data visual analytics includes the following components: 1) a Spatial Data Registration Center for managing the big spatiotemporal data and enabling researchers to focus on analyses without worrying about data related issues such as format, management and storage; 2) a workflow for pre-generating and caching frequently requested data to reduce the server response time; and 3) a technique of "single data fetch, multiple analyses" to reduce both server response time and client response time; Finally, we demonstrate the effectiveness of the prototype through a few use cases.

Original languageEnglish (US)
Title of host publicationWeb and Wireless Geographical Information Systems - 12th International Symposium, W2GIS 2013, Proceedings
Number of pages9
StatePublished - 2013
Event12th International Symposium on Web and Wireless Geographical Information Systems, W2GIS 2013 - Banff, AB, Canada
Duration: Apr 4 2013Apr 5 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7820 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference12th International Symposium on Web and Wireless Geographical Information Systems, W2GIS 2013
CityBanff, AB

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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