The design choices behind a visual analytic system for monitoring a geosensor network are described and justified. Sparse spatial but fine-grained temporal data drive the layout choices privileging temporal pattern and classified location symbolised by colour. Additional context is provided by clustering space-time signatures and ordering data by cluster size. Uncertainty in classification is reflected in interpolation of categorical colours and interaction allowing multiple mappings of high dimensional clusters onto a onedimensional ordering.