This course deepens your understanding of geographic information science and advances your skills in GIS-based spatial data analysis. The course focuses on GIS-based methods for spatial pattern analysis applicable to different types of geographical data. It emphasises spatial statistical and numerical techniques for describing, analysing, and comparing spatial patterns so that spatial relationships among relevant geographical phenomena can be characterised, modelled, predicted, or optimised. Key topics include statistical measures and GIS-based methods for spatial interpolation, spatial pattern analysis, and regression analysis using spatial data. ?Through guided lab practicals, you will apply advanced GIS-based analytical techniques and workflows, work with diverse digital geographical datasets, and complete complex spatial analytical tasks. In addition, you will apply suitable GIS-based methods to solve real-world geographical problems of your choice by designing and implementing a GIS project, taking on the role of project manager, with your course coordinator as the client and your classmates as consultants.