A Study on Modelling Spatial-Temporal Human Mobility Patterns for Improving Personalized Weather Warning
Understanding human mobility patterns is important for severe weather warning since these patterns can help identify where people are in time and in space when flash floods, tornados, high winds and hurricanes are occurring or are predicted to occur. A GIS (Geographic Information Science) data model...
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| Format: | Others |
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ScholarWorks@UMass Amherst
2018
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| Online Access: | https://scholarworks.umass.edu/masters_theses_2/677 https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1666&context=masters_theses_2 |