Frequency Map Enhancement with its ability to forecast periodic dynamics is a crucial step forward in robotic autonomy. We propose an extension that allows the modelling of phenomena that can be quantified by rational numbers, thus broadening its usability and applicability. We are evaluating its functionality in a simulation using data from the extensive robotic field experiment currently underway as part of the RoboRoyale project, which aims to help slow the global pollination crisis by supporting the most important pollinators - honeybees. The project performs vast amounts of robotic experiments around honeybee colony with thousands of bees interacting in a densely populated and ever-changing system, individual bees performing distinct tasks simultaneously. A honey bee colony is a challenging environment for autonomous robotics and spatio-temporal modelling. It opens questions on spatio-temporal modelling that were in the pure robotic experiments hidden or quietly bypassed.