This dataset contains all the datasets used in the study conducted for the research publication titled "Mapping dynamic human sentiments of heat exposure with location-based social media data". This paper develops a cyberGIS framework to analyze and visualize human sentiments of heat exposure dynamically based on near real-time location-based social media (LBSM) data. Large volumes and low-cost LBSM data, together with a content analysis algorithm based on natural language processing are used effectively to generate heat exposure maps from human sentiments on social media.
CyberGIS, Heat Exposure, Location-based Social Media Data, Urban Heat
| DOI | 10.13012/B2IDB-9405860_V1 |
|---|---|
| Publcation Date | 05-30-2024 |
| Title | Data for “Mapping dynamic human sentiments of heat exposure with location-based social media data” |
| Author | Lyu, Fangzheng Zhou, Lixuanwu Park, Jinwoo Baig, Furqan Wang, Shaowen |
| Keywords | CyberGIS, Heat Exposure, Location-based Social Media Data, Urban Heat |
| Related Publication (Citation) | Lyu, Fangzheng; Zhou, Lixuanwu; Park, Jinwoo; Baig, Furqan; Wang, Shaowen (2024): Data for "Mapping dynamic human sentiments of heat exposure with location-based social media data". University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9405860_V1 |
| Note |
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