Abstract
Tag cloud visualisation has been introduced in the seventies. In current Web 2.0 applications this method is a very popular visualisation technique. This paper presents an approach that uses this technique in combination with maps. Our method augments cartographic representations with additional verbal content, which is one of the strongest instruments available to cartographers to communicate spatial information. The idea is that only few words extracted from the semantics contained in the features of the underlying map are suitable to characterise the map section as a whole. To demonstrate the approach we used the OpenStreetMap dataset. In order to allow a variety of web map clients to use the results of the method, we realised the prototype by implementing it as a Web Map Service (WMS) based on the according Open Geospatial Consortium (OGC) specification.
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Hahmann, S., Burghardt, D. (2011). Maple – a Web Map Service for Verbal Visualisation using Tag Clouds Generated from Map Feature Frequencies. In: Ruas, A. (eds) Advances in Cartography and GIScience. Volume 1. Lecture Notes in Geoinformation and Cartography(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19143-5_1
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DOI: https://doi.org/10.1007/978-3-642-19143-5_1
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