Ronco, M., Tárraga, J.M., Muñoz, J. et al. Exploring interactions between socioeconomic context and natural hazards on human population displacement. Nat Commun

Objective:

• Study human internal displacement induced by suddenonset hazards at a global scale with data-driven machine learning

Case:

• Global countries

Methodology:

• ML: RF, GBM

Data Source

• AWI, Precipitation, wind speed, kNDVI, population
• gHM, elevation, conflict fatalities, education, agricultural land
• Disaster: IDMC

Findings:

• Asia is the most impacted continent regardless of the type of disaster, this is particularly evident in the most densely populated coastal regions

• The vulnerability and hazard variables are the most important, followed by exposure factors

Coding Reference:

• Python