Identifying the spatial patterns of population displacement during wildfires in Valparaíso, Chile
We present a data visualisation approach to support the rapid humanitarian response during the 2024 Valparaíso wildfires in Chile. Combining Meta user location data for population displacement, NASA FIRMS satellite imagery for wildfire locations, and census data, we identify key origins and destinat...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
|
| Series: | Regional Studies, Regional Science |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/21681376.2024.2407404 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | We present a data visualisation approach to support the rapid humanitarian response during the 2024 Valparaíso wildfires in Chile. Combining Meta user location data for population displacement, NASA FIRMS satellite imagery for wildfire locations, and census data, we identify key origins and destinations of displaced people during recent wildfires in Valparaíso, Chile. Our choropleth maps reveal spatial patterns of movement and socioeconomic factors, demonstrating the value of integrating diverse data sources for near real-time crisis response. |
|---|---|
| ISSN: | 2168-1376 |