In this presentation, I will first share my understanding of the so-called spatial big data, and then elucidate the opportunities and challenges it brings. Subsequently, I will introduce our work in relation to multi-resolution data fusion, spatiotemporal heterogeneous data regression and deep learning-based urban land use classification that addresses the fundamental challenges confronting geographical information science.