Converging Dimensions: A Framework for Integrating Geography, Spatial Science, and Big Data Analytics in Contemporary Research and Applications

This paper proposes an integrative framework that unites Geography, Spatial Science, and Big Data Analytics to address complex spatial challenges in an increasingly digitised world. Geography provides spatial context and place-based perspectives, Spatial Science contributes methodological precision through remote sensing, modelling, and geostatistics, while Big Data Analytics enables large-scale, real-time processing of heterogeneous datasets ranging from satellite imagery to social media geotags. Together, these dimensions converge into a powerful paradigm capable of observing, predicting, and interpreting spatial phenomena across environmental, urban, and socio-economic domains.