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Pinpointing Dream Settings Onto Place Cookies

Authors: Iosifescu Enescu, Cristina M; Hurni, Lorenz;

Pinpointing Dream Settings Onto Place Cookies

Abstract

Dream reports are short pieces of text, where a dreamer summarizes the remembered experience of nightly dreams. Dream cartography addresses especially the spatial information contained in dream reports. In this context, the current formalization of space in GIScience such as points, lines, polygons, or labels, including place names or addresses, is not sufficient for mapping dream settings. In the best case, dream reports mention place names or streets. However, usually, the perception of space in dreams is designated in terms of whether this is familiar or not, inside or outside, safe or threatening. Moreover, basic comparisons between dream settings are meaningless with classic space definitions. This lead us to a different approach of space: the personal circles of places or, with a nickname, the place cookie. Here, the dream setting can be pinpointed at a certain distance from the centre of the cookie, which represents the familiarity of the setting to the dreamer.

On the Way to Platial Analysis: Can Geosocial Media Provide the Necessary Impetus? - Proceedings of the First Workshop on Platial Analysis (PLATIAL'18)

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Keywords

personal circles of places, place cookie, familiarity of place, dream cartography

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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