Using household survey data to identify large-scale food security patterns across Uganda.

ABSTRACT: To target food security interventions for smallholder households, decision makers need large-scale information, such as maps on poverty, food security and key livelihood activities. Such information is often based on expert knowledge or aggregated data, despite the fact that food security and poverty are driven largely by processes at the household level. At present, it is unclear if and how household level information can contribute to the spatial prediction of such welfare indicators or to what extent local variability is ignored by current mapping efforts. A combination of geo-referenced household level information with spatially continuous information is an underused approach to quantify local and large-scale variation, while it can provide a direct estimate of the variability of welfa

SUBMITTER: Wichern J 

PROVIDER: S-EPMC6292625 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature