Nigeria conflict data from 1997 to 2023 combines spatial econometrics with a greed-grievance framework. The analysis includes 14 variables across four types of conflict, using Bayesian spatial methodology and INLA-SPDE techniques. The dataset was authored by Juan José Villar-Roldán and is hosted on the Political Science Research Methods Dataverse.
Use Cases
- Predicting conflict risk based on developmental variables and natural resource endowments mentioned in the description
- Mapping spatial clusters of conflict based on the described high-resolution risk maps
- Analyzing the varying effects of ethnic fractionalization and resource proximity on different conflict actors
- Validating actor-specific policy interventions based on the distinct spatial patterns described
Strengths
- Analysis spans 26 years from 1997 to 2023
- Includes 14 variables across four distinct conflict types
- Utilizes advanced Bayesian spatial methodology (INLA-SPDE) for predictive validation
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
- Freshness should be verified as the last update date is 2026-05-06
Provenance
- Source
- Political Science Research Methods (PSRM) Dataverse
- Collection Method
- Likely compiled from subnational conflict and economic data sources for spatial econometric analysis.
- Time Range
- 1997-2023
- Freshness
- Last updated 2026-05-06 01:01:50
- Geography
- Nigeria