A data-driven framework for archiving and exploring social media data
- 2 October 2014
- journal article
- Published by Taylor & Francis Ltd in Annals of GIS
- Vol. 20 (4), 265-277
- https://doi.org/10.1080/19475683.2014.942697
Abstract
No abstract availableKeywords
This publication has 22 references indexed in Scilit:
- Big Data—Technologies and PotentialPublished by Springer Science and Business Media LLC ,2014
- Happiness and the Patterns of Life: A Study of Geolocated TweetsScientific Reports, 2013
- Evaluating open-source cloud computing solutions for geosciencesComputers & Geosciences, 2013
- Using adaptively coupled models and high-performance computing for enabling the computability of dust storm forecastingInternational Journal of Geographical Information Science, 2013
- Utilize cloud computing to support dust storm forecastingInternational Journal of Digital Earth, 2012
- Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social PracticeAnnals of the American Association of Geographers, 2012
- The Dynamics of Protest Recruitment through an Online NetworkScientific Reports, 2011
- Harnessing the Crowdsourcing Power of Social Media for Disaster ReliefIEEE Intelligent Systems, 2011
- An optimized framework for seamlessly integrating OGC Web Services to support geospatial sciencesInternational Journal of Geographical Information Science, 2010
- Citizens as sensors: the world of volunteered geographyGeoJournal, 2007