Geospatial crowdsourced data fitness analysis for spatial data infrastructure based disaster management actions

Koswatte, Saman (2017) Geospatial crowdsourced data fitness analysis for spatial data infrastructure based disaster management actions. [Thesis (PhD/Research)]


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Item Type: Thesis (PhD/Research)
Item Status: Live Archive
Additional Information: Doctor of Philosophy (PhD) thesis. Access restricted to this thesis for 12 months, until 1 March 2019, at author's request.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying
Supervisors: McDougall, Kevin; Liu, Xiaoye
Date Deposited: 24 Jul 2018 04:13
Last Modified: 24 Jul 2018 04:13
Uncontrolled Keywords: crowdsourced data; relevance; semantics; geographic information retrieval; natural language processing; disaster management
Fields of Research : 08 Information and Computing Sciences > 0899 Other Information and Computing Sciences > 089999 Information and Computing Sciences not elsewhere classified
04 Earth Sciences > 0406 Physical Geography and Environmental Geoscience > 040604 Natural Hazards
09 Engineering > 0909 Geomatic Engineering > 090903 Geospatial Information Systems
URI: http://eprints.usq.edu.au/id/eprint/34617

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