Understanding biology requires capture, analysis and visualisation of data at many levels of organisation from the molecular through to whole populations and eco-systems. At the tissue, organ and whole organisms level spatial relationships and inter-linking of function are critical and atlases of many forms have been developed provide an underlying spatio-temporal reference framework for such spatially-organised data. From earliest times this is typified as anatomy but more recently includes function, phenotype and geneomic-level data such as patterns of gene-expression. The challenges of visualisation range from depiction of spatial relationships such as anatomy through to visual analytics of massive data-collections (big-data). Visualisation in this theme as all about biological events and biological structures in space and time.