| The achievement of food security for all remains one of the main development objectives worldwide. Most commonly, non-spatial models are developed for either explaining the underlying determinants of food insecurity and undernourishment or for predicting their changes, so as for identifying vulnerable groups for targeting support. Such approach ignores geographic determinants and the spatial dependency of food security and nutrition outcomes. This paper seeks to address this issue. We use nationally representative data from Guatemala, which faces high and rising rates of undernourishment and child stunting in spite of the efforts engaged on their reduction. Through exploratory spatial data analysis and overlay techniques, some elements embedded in the food... |
