Geocomputation represents an attempt to move the geospatial research agenda back to geographical analysis and modelling by providing a toolbox of methods to analyse and model a range of highly complex, often non-deterministic problems. In this context, complex systems and computational science are foundational aspects upon which geocomputation approaches and methods are built to address a variety of real-world, spatio-temporal issues. Similar to geocomputation, the term spatial data science has recently emerged to refer to the use of computational techniques to access, explore, visualize and perform spatial analysis on real-world data sets. Therefore, geocomputation and spatial data science share many commonalities (complex problems, use of spatial techniques and modeling, coding, real-world data) that make them interchangeable in many scenarios.