This chapter provides a comprehensive guide to working with geo-referenced databases, focusing on both transactional and temporal formats. It covers the theoretical foundations, including formal definitions and mathematical representations, as well as practical applications, such as generating synthetic datasets, converting dataframes, and analyzing statistical details. Using the PAMI package, users can create large-scale geo-referenced databases tailored to specific requirements, convert existing data into spatially and temporally aware formats, and derive key statistical insights. This chapter equips data scientists and researchers with the tools and knowledge to effectively manage and analyze spatial data.