Abstract
We present work from an on-going project to develop techniques of automated cartography. We introduce Artificial Cognitive Maps as an approach to integrating insights from spatial cognition with geographic data. The ultimate goal is to drive highly contextual map views that more effectively support navigation tasks such as travelling across large, complex cities. With a focus on our now ubiquitous small screen mobile devices, we propose that distortions on the traditional metric cartographic representation may support a reduction in cognitive load for the user, but that the logic and parameters of these distortions should be founded on the natural distortions present in our cognitive representations of geographic objects and their relation.
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References
Couclelis H, Gale N, Golledge R, Tobler W (1987) Exploring the anchor-point hypothesis in spatial cognition. J Env Psychol 7:99–122
Freksa C, Barkowsky T, Klippel A, Richter K (2005). The cognitive reality of schematic maps. In: Meng L, Zipf A, Reichenbacher T (eds) Map-based mobile services. Springer
Godfrey L, Mackaness W (2017) The bounds of distortion: truth, meaning and efficacy in digital geographic representation. Int J Cartogr 3(1):31–44
Golledge RG, Stimson RJ (1997). Spatial behaviour: a geographic perspective. Guilford Press
Mackaness W, Tanasescu V, Quigley A (2011). Hierarchical structures in support of dynamic presentation of multi resolution geographic information for navigation in urban environments. In: Proceedings of the 19th GIS Research UK Annual Conference University of Portsmouth
Quigley A (2001). Large scale relational information visualization, clustering and abstraction [online]. https://aquigley.host.cs.st-andrews.ac.uk/aquigley-thesis-mar-02.pdf
Warren WH, Rothmans DB, Schnapps BH, Ericsson JD (2017) Wormholes in virtual space: from cognitive maps to cognitive graphs. Cognition 166:152–163
Acknowledgements
We would like to thank the Ordnance Survey and the Engineering and Physical Sciences Research Council for supporting this research.
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Godfrey, L., Mackaness, W. (2018). Artificial Cognitive Maps: Selecting Heterogeneous Sets of Geographic Objects and Relations to Drive Highly Contextual Task-Oriented Map Views. In: Fogliaroni, P., Ballatore, A., Clementini, E. (eds) Proceedings of Workshops and Posters at the 13th International Conference on Spatial Information Theory (COSIT 2017). COSIT 2017. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-63946-8_13
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DOI: https://doi.org/10.1007/978-3-319-63946-8_13
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