M. Getaneh compiled this collection to support analysis of socioeconomic conditions and their relationship with climatic variability. It includes household-level survey data on demographics, livelihoods, and assets, plus satellite-derived rainfall and potential evapotranspiration data. Python scripts for processing, analysis, and visualization are included to document the analytical workflow.
Use Cases
- Assessing correlations between household food insecurity and satellite-derived drought indicators based on the hydroclimatic data
- Modeling the socioeconomic vulnerability of rural households to environmental shocks based on the cross-sectional survey data
- Reproducing integrated socioeconomic and environmental analyses using the provided Python scripts
- Evaluating policy interventions for food security in drought-prone regions based on the combined dataset
Strengths
- Includes integrated socioeconomic and environmental data types, supporting multi-factor analysis
- Provides Python scripts for data processing and visualization, enabling reproducibility
- Spatially and temporally explicit climate data supports detailed geospatial analysis
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
Provenance
- Source
- DANS Data Station Physical and Technical Sciences Collection
- Collection Method
- Likely combines household surveys with satellite-derived climate data.
- Freshness
- Last updated 2026-06-06 10:10:09; freshness should be verified
- Geography
- North West Ethiopia