SPATIAL DATA MINING FOR TRANSPORTATION ANALYSIS IN SAMDRUP JONGKHAR, BHUTAN: AN INTEGRATED DATABASE, GIS AND STATISTICAL APPROACH

This study presents a reconstructed and reproducible spatial data mining framework for transportation analysis in Samdrup Jongkhar, Bhutan. The study integrates relational database management, geographic information system (GIS) concepts, spatial data mining, and descriptive statistical analysis to examine transportation infrastructure, vehicle registration, population, and road-network characteristics. Publicly available and documented data sources were used to reconstruct the analytical dataset, with SQL scripts and supporting data provided to improve reproducibility. The analysis demonstrates how integrated spatial and statistical approaches can support transportation planning, infrastructure assessment, and evidence-based decision-making in Bhutanese urban and regional contexts. The study also discusses limitations associated with historical data availability and reconstruction and provides supporting files for transparent replication of the analytical workflow.