Spatial-Temporal pattern analysis and prediction of air quality in Taiwan

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

3 Citations (Scopus)

Abstract

This study explores the spatial-temporal patterns of particulate matter (PM) in Taiwan. Probability map of PM and daily patterns are discussed in this study. Data mining provides more detailed spatial-temporal information for PM variations and trends. The proposed model will show that data mining provides a relatively high goodness of fit and sufficient space-time explanatory power, particularly air pollution frequency and affect areas. In the proposed model, a method using Dynamic Time Warping is proposed to analyse temporal similarity between stations. The proposed model can eliminate global effect on a single station through the performance of multiple stations. The proposed model will further be used for prediction of PM2.5. The prediction results will discuss the spatial-temporal relations between stations. This study will investigate the distribution of PM and its cyclicality.

Original languageEnglish
Title of host publicationUbi-Media 2017 - Proceedings of the 10th International Conference on Ubi-Media Computing and Workshops with the 4th International Workshop on Advanced E-Learning and the 1st International Workshop on Multimedia and IoT
Subtitle of host publicationNetworks, Systems and Applications
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538627617
DOIs
Publication statusPublished - 2017 Oct 18
Event10th International Conference on Ubi-Media Computing and Workshops, Ubi-Media 2017 - Pattaya, Thailand
Duration: 2017 Aug 12017 Aug 4

Publication series

NameUbi-Media 2017 - Proceedings of the 10th International Conference on Ubi-Media Computing and Workshops with the 4th International Workshop on Advanced E-Learning and the 1st International Workshop on Multimedia and IoT: Networks, Systems and Applications

Other

Other10th International Conference on Ubi-Media Computing and Workshops, Ubi-Media 2017
CountryThailand
CityPattaya
Period17-08-0117-08-04

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Media Technology
  • Education
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Spatial-Temporal pattern analysis and prediction of air quality in Taiwan'. Together they form a unique fingerprint.

Cite this