  The communication of uncertainty estimates, predictions and insights based on
spatio-temporal models is important for decision-making as it impacts the
utilisation and interpretation of information. Bivariate mapping is commonly
used for communication of estimates and associated uncertainty; however, it is
known that different visual qualities resulting from choics of symbols and
consequent interaction between the display dimensions can lead to different
interpretations and consequently affect resultant decisions. Characteristics of
the data to be presented, such as spatial format, statistical level and
continuousness, shape the range of available bivairate symbols. The subsequent
utility of these bivariate symbols depends on their ability to achieve
end-user's goals. In this paper we present a novel design framework, which,
through consideration of both input data characteristics and potential
operational tasks (as proxy to end-user goals), assists map designers in
appropriate selection of bivariate symbols for the coincident presentation of
spatio-temporal modelled data and associated uncertainty. The framework is
showcased through application to a case study pertaining to sediment pollution
in the Great Barrier Reef.
