The origin of geocomputation dates back to the first international conference on the topic in 1996 and was coined to describe the use of computer-intensive methods for knowledge discovery in physical and human geography. According to Birkin (2009), Openshaw defined geocomputation as a computational paradigm that takes geographic information science to focus on analysis, modeling, and simulations applied. Openshaw’s definition emphasized the use of novel computational approaches at that time along with spatial data and analysis methods to find solutions to real-world problems. Longey's definition, as reported by Birkin (2009), focuses on the continuous development of GIS tools and techniques, in line with the modern emphasis on creative, experimental, data-driven and code-based practices to solve real-world problems. In this context, geocomputation is closely related to other widely known areas of knowledge within the geospatial community, such as GIScience, Spatial Information Science, Geoinformatics, and Geographic/Spatial Data Science. While these terms clearly overlap and boundaries are fuzzy, the term geocomputation puts the focus on creative and experimental applications and in developing relevant computationally geospatial tools for analysis and modelling within the overall context of a ‘scientific’ approach. Therefore, a common interpretation of geocomputation is to describe the application of computational models to geographic problems. Nowadays, the term spatial data science is gaining ground to convey essentially the same interpretation as geocomputation.