Many chemically important configuration spaces are intrinsically continuous, arising from, for example, geometric degrees of freedom such as coordination-centre distortions and torsional motions. To enable systematic enumeration, classification, and mechanistic analysis, these continuum spaces must be discretised into representative configurations while preserving their underlying structure. This poster presents a general discretisation strategy based on symmetry and configurational equivalence, and shows how the resulting discrete sets can be encoded as graphs in which vertices represent configurations and edges represent elementary interconversion pathways. The graph topology provides a compact representation of connectivity and enables direct mapping onto potential-energy-surface structure, supporting automated exploration of chemical behaviour and Chemical Space.