Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/76394
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dc.contributor.authorS. Homhuanen_US
dc.contributor.authorC. Suwanprasiten_US
dc.contributor.authorC. Namwongen_US
dc.contributor.authorP. Khamnoien_US
dc.contributor.authorR. Boonmaen_US
dc.contributor.authorT. Mateen_US
dc.contributor.authorN. Wanginkhomen_US
dc.date.accessioned2022-10-16T07:09:30Z-
dc.date.available2022-10-16T07:09:30Z-
dc.date.issued2021-10-19en_US
dc.identifier.issn26730014en_US
dc.identifier.issn16866576en_US
dc.identifier.other2-s2.0-85123187912en_US
dc.identifier.other10.52939/ijg.v17i5.2009en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85123187912&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/76394-
dc.description.abstractIncreases in the social sector of open data and online mapping technologies are starting new chances for interactive mapping in many research applications. Mobile crowd sensing is an application that gathers data from a network of conscientious volunteers and implements it for a public benefit which is very helpful for collecting related information during the COVID-19 situation. The paper aims to demonstrate the concept of #Safe Mapping Platform which followed a framework of opensource technology and implementation aspects. The #Safe Mapping Platform was established for self-tracking and self-risk managing by integrating GIS opensource technologies, location-based services, and LINE application. The developed platform can be adapted to the public for self-tracking and self-risk managing in any health issues in the future.en_US
dc.subjectEarth and Planetary Sciencesen_US
dc.subjectPhysics and Astronomyen_US
dc.subjectSocial Sciencesen_US
dc.title#Safe Mapping Platform:A GIS Mobile Crowd Sensing Platform for COVID-19 Self-Tracking and Self-Risk Managingen_US
dc.typeJournalen_US
article.title.sourcetitleInternational Journal of Geoinformaticsen_US
article.volume17en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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