Twitter Data and Disasters

Nov-11 : In this lesson, we will study Twitter data structure and analytical methods for disaster data.

Reading

1. Wang, Z., X. Ye, and M. H. Tsou. 2016. Spatial, temporal, and content analysis of Twitter for wildfire hazards. Natural Hazards 83 (1):523–540. DOI:10.1007/s11069-016-2329-6.

Discussion

1. Summarize the analytical techniques applied and how the results of those techniques were communicated in text, numbers, tables, or data visualizations
2. Do you consider this research paper to be reproducible?
3. Do you consider this paper to be replicable?
4. Recall our definitions and discussions of R&R in Geography

Spatial Twitter Research Resources

Where to get free historic twitter data?

• GWU Libraries
• trackmyhashtag

Resources for using rtweet to drive the Twitter Search API (6-8 days of recent tweets; more recently less)

• rtweet and its search_tweets function
• Twitter Search API
• Tweet objects
• Tweet object geospatial metadata
• Example tweet payload (with annotations): example_tweet.json
• rehydratoR: download tweets using tweet ID’s

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