1 research outputs found
Spatial clustering to uncluttering map visualization in SOLAP
The main purpose of SOLAP concept was to take advantage
of the map visualization improving the analysis of data and enhancing
the associated decision making process. However, in this environment,
the map can easily become cluttered losing the benefits that triggered the
appearance of this concept. In order to overcome this problem we propose
a post-processing stage, which relies on a spatial clustering approach,
to reduce the number of values to be visualized when this number is
inadequate to a properly map analysis. The results obtained so far show
that the usage of the post–processing stage is very useful to maintain a
map suitable to the user’s cognitive process. In addition, a novel heuristic
to identify the threshold value from which the clusters must be generated
was developed