Please use this identifier to cite or link to this item: https://doi.org/10.1080/13658816.2018.1458989
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dc.titleCoupling maximum entropy modeling with geotagged social media data to determine the geographic distribution of tourists
dc.contributor.authorYingwei Yan
dc.contributor.authorChiao-Ling Kuo
dc.contributor.authorChen-Chieh Feng
dc.contributor.authorWei Huang
dc.contributor.authorHongchao Fan
dc.contributor.authorAlexander Zipf
dc.date.accessioned2018-08-06T02:43:03Z
dc.date.available2018-08-06T02:43:03Z
dc.date.issued2018-04-20
dc.identifier.citationYingwei Yan, Chiao-Ling Kuo, Chen-Chieh Feng, Wei Huang, Hongchao Fan, Alexander Zipf (2018-04-20). Coupling maximum entropy modeling with geotagged social media data to determine the geographic distribution of tourists. International Journal of Geographical Information Science 32 (9) : 1699-1736. ScholarBank@NUS Repository. https://doi.org/10.1080/13658816.2018.1458989
dc.identifier.issn13658816
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/145591
dc.publisherTaylor & Francis
dc.sourceTaylor & Francis
dc.typeArticle
dc.contributor.departmentDEPT OF GEOGRAPHY
dc.description.doi10.1080/13658816.2018.1458989
dc.description.sourcetitleInternational Journal of Geographical Information Science
dc.description.volume32
dc.description.issue9
dc.description.page1699-1736
dc.identifier.isiut000438123600001
dc.published.statepublished
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