Contemporary computing technologies for processing big spatiotemporal data

Chaowei Yang, Min Sun, Kai Liu, Qunying Huang, Zhenlong Li, Zhipeng Gui, Yunfeng Jiang, Jizhe Xia, Manzhu Yu, Chen Xu, Peter Lostritto, Nanying Zhou

Research output: Chapter in Book/Report/Conference proceedingChapter

16 Scopus citations

Abstract

To better understand physical and social phenomena and the impact of human activities on them, scientists have collected data about the Earth’s surface for hundreds of years (Jacobson et al. 2000). For example, the Earth’s surface temperature (Kusuda and Achenbach 1965), volcanic eruptions (Robock 2000), hurricanes (Goldenberg et al. 2001), and other parameters of geographic phenomena have been recorded. In the past century, the invention of computers for information processing, launching of satellites and the evolution of remote sensing technologies have greatly improved our capabilities to observe and record various physical parameters of the Earth’s surface (Christian 2005). This is reflected in at least five aspects.

Original languageEnglish (US)
Title of host publicationSpace-Time Integration in Geography and GIScience
Subtitle of host publicationResearch Frontiers in the US and China
PublisherSpringer Netherlands
Pages327-351
Number of pages25
ISBN (Electronic)9789401792059
ISBN (Print)9789401792042
DOIs
StatePublished - Jan 1 2015

All Science Journal Classification (ASJC) codes

  • Earth and Planetary Sciences(all)

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    Yang, C., Sun, M., Liu, K., Huang, Q., Li, Z., Gui, Z., Jiang, Y., Xia, J., Yu, M., Xu, C., Lostritto, P., & Zhou, N. (2015). Contemporary computing technologies for processing big spatiotemporal data. In Space-Time Integration in Geography and GIScience: Research Frontiers in the US and China (pp. 327-351). Springer Netherlands. https://doi.org/10.1007/978-94-017-9205-9_18