Geoscience Reference
In-Depth Information
cartographic databases, e.g. data provided by national mapping agencies.
Even non-primarily cartographic datasets such as Twitter could be ana-
lysed.
Future work needs to address query performance, especially for the sce-
nario of a huge global OSM dataset and queries on mid- and small-scale
map extents. Furthermore, verbal descriptions of the meaning of the OSM
tags could be taken from the OSM wiki website to produce more vernacu-
lar word clouds.
Last but not least, an empirical study needs to be carried out to prove
whether map users are able to interpret word clouds overlaid on maps and
benefit from this additional information. A study conducted by Lohmann
et al. (2009), which compares different tag cloud layouts with a focus on
human task-related performance, could serve as a starting point.
References
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