Hennessy, Conor; Anderson, C. Leigh
2021-08-21
<p>We develop a model to estimate hunger as a function of climate indicators and nightlight intensity, measures of which are publicly available and updated monthly. We then compare this model to estimates of hunger based solely on time of year and past hunger rates at that time of year, and a model based on crop yields from the LSMS-ISA survey. These comparisons demonstrate how a model based on monthly, publicly available data and trained on past hunger data compares to a model based on no data other than the past hunger data, and a model based on agricultural survey data. The model based on monthly, publicly available data performs almost as well as the model based on survey data, illustrating how new frequently available data sources can aid development stakeholders in combatting food insecurity.</p>
https://doi.org/10.5281/zenodo.5228923
oai:zenodo.org:5228923
Zenodo
https://zenodo.org/communities/dfp17
https://doi.org/10.5281/zenodo.5228922
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Data for Policy, 2021
Hunger, seasonal hunger, satellite, climate, food security, agriculture
New Methods and Novel Data for Estimating Seasonal Hunger
info:eu-repo/semantics/conferencePaper