Spatio-Temporal Analysis in High Resolution of Tweets Associated with the November 2016 Wildfire in Haifa (Israel)

• DOI: 10.2139/ssrn.4226724
• Publication Date: 2022-09-23T07:12:01Z
• Authors: Motti Zohar; Bar Gennosar; Avigdor Gal; Ronen Avni; Naama Tessler

During the last decade, Twitter has become a robust platform for distributing messages (tweets) among numerous subscribers worldwide. and around occurrence of natural hazards, tweets increase significantly. While is used near real-time alerts, processes extracting reported damage from resolving their geographical spread in high resolution are still under development. In this study we attempt to examine what was spatio-temporal distribution associated with November 2016 fire Haifa (Isreal). The acquired were classified filtered, portion them georeferenced, hyperlocal patterns examined. tweets’ sentiment corresponds fire’s cascading events while spatial equivalent most actual reports. Despite large uncertainties process, results show can serve future as another layer information assist decision makers emergency agencies during after catastrophes.