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author:

Wu, Q. (Wu, Q..) [1] (Scholars:邬群勇) | Tang, S. (Tang, S..) [2] | Huang, J. (Huang, J..) [3]

Indexed by:

Scopus PKU CSCD

Abstract:

It will play a more and more important role in the air pollution emergency to apply mobile device and system to display the disaster information. The air pollution simulation disaster condition, such as pollution concentration, casualty probability, is stored as a text type, and is very difficult to be visualtized on mobile terminal. GeoJ-SON is an open standard format for encoding collections of simple geographical features, which may provide a solution for mobile data visualization. Firstly, the expression format of the air pollution disaster condition were given based on the analysis of the GeoJSON. Then a GeoJSON-based mobile visualization flow and method for emergency air pollution simulation disaster condition were put forward. In the end, the visualization of air pollution disaster condition on the mobile terminal are implemented, and the visualization efficiency was analyzed.

Keyword:

Disaster condition; Emergency air pollution; GeoJSON; Mobile visualization

Community:

  • [ 1 ] [Wu, Q.]Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Spatial Information Research Center of Fujian Province, Fuzhou, 350002, China
  • [ 2 ] [Tang, S.]Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Spatial Information Research Center of Fujian Province, Fuzhou, 350002, China
  • [ 3 ] [Huang, J.]Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Spatial Information Research Center of Fujian Province, Fuzhou, 350002, China

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Source :

Journal of Natural Disasters

ISSN: 1004-4574

CN: 23-1324/X

Year: 2015

Issue: 2

Volume: 24

Page: 165-171

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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