uncertainty in fictional data: data modelling and visualisation

Modelling Uncertain Geodata for the Literary Atlas of Europe

Anne-Kathrin Reuschel
Modelling Uncertain Geodata for the Literary Atlas of Europe

→ Download at the bottom of the page

Abstract: Mapping literary spaces is an interdisciplinary challenge for both literary theory and cartographic realisation. The inherent properties of textual space compared to real-world geospace are introduced and discussed in relation to build a data model for the on-going project, 'Literary Atlas of Europe'. Spatial descriptions in fiction are often vague, transformed or hardly locatable within the real-world geospace which serves as basis for the analysis and visualisation. To reflect the fictional world, additional attributes and composed geometries are required. To solve the problem, an attributed spatial data model was developed to meet the requirements for a comparative, flexible study of literary spaces with numerous thematical questions. Using this model, spatial data of fictional texts were classified into settings, zones of actions, projected spaces, routes and marker. To emphasise the complexity of the model, the internal structure and diversity are illustrated with the examples of the spatial objects setting and route.

More information about the data model, with excerpts from the paper can be found on the following page: → Link

Reuschel, Anne-Kathrin (2012); Hurni, Lorenz : Modelling Uncertain Geodata for the Literary Atlas of Europe. In: Lecture Notes in Geoinformation and Cartography. Understanding Different Geographies, Karel Kriz et al.(eds.), Berlin Heidelberg: Springer, pp.135-157. → Download

!!! Dieses Dokument stammt aus dem ETH Web-Archiv und wird nicht mehr gepflegt !!!
!!! This document is stored in the ETH Web archive and is no longer maintained !!!