A data-driven approach improves food insecurity crisis prediction
E. C. Lentz, H. Michelson, K. Baylis, Y. Zhou
| Year of publication: |
2019
|
|---|---|
| Authors: | Lentz, Erin C. ; Michelson, Hope ; Baylis, Kathy ; Zhou, Yujun |
| Published in: |
World development : the multi-disciplinary international journal devoted to the study and promotion of world development. - Amsterdam : Elsevier Science, ISSN 0305-750X, ZDB-ID 185339-9. - Vol. 122.2019, p. 399-409
|
| Subject: | Crisis | Early warning | Famine | Food insecurity | Prediction | Sub-Saharan Africa | Ernährungssicherung | Food security | Unterernährung | Undernutrition | Subsahara-Afrika | Prognoseverfahren | Forecasting model | Frühwarnsystem | Early warning system | Zentralafrika | Central Africa |
Erscheint auch als (Online-Ausgabe):
A data-driven approach improves food insecurity crisis prediction, 2019
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