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DOI: 10.4230/LIPIcs.COSIT.2019.25

Assessing Spatial Information in Physical Environments (Short Paper)

Authors: Vinicius M. Netto, Edgardo Brigatti, Caio Cacholas, and Vinicius Gomes Aleixo

Published in: LIPIcs, Volume 142, 14th International Conference on Spatial Information Theory (COSIT 2019)

Abstract

Many approaches have dealt with the hypothesis that the environment contain information, mostly focusing on how humans decode information from the environment in visual perception, navigation, and spatial decision-making. A question yet to be fully explored is how the built environment could encode forms of information in its own physical structures. This paper explores a new measure of spatial information, and applies it to twenty cities from different spatial cultures and regions of the world. Findings suggest that this methodology is able to identify similarities between cities, generating a classification scheme that opens up new questions about what we call "cultural hypothesis": the idea that spatial configurations find consistent differences between cultures and regions.

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Vinicius M. Netto, Edgardo Brigatti, Caio Cacholas, and Vinicius Gomes Aleixo. Assessing Spatial Information in Physical Environments (Short Paper). In 14th International Conference on Spatial Information Theory (COSIT 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 142, pp. 25:1-25:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@InProceedings{netto_et_al:LIPIcs.COSIT.2019.25,
  author =	{Netto, Vinicius M. and Brigatti, Edgardo and Cacholas, Caio and Aleixo, Vinicius Gomes},
  title =	{{Assessing Spatial Information in Physical Environments}},
  booktitle =	{14th International Conference on Spatial Information Theory (COSIT 2019)},
  pages =	{25:1--25:8},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-115-3},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{142},
  editor =	{Timpf, Sabine and Schlieder, Christoph and Kattenbeck, Markus and Ludwig, Bernd and Stewart, Kathleen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2019.25},
  URN =		{urn:nbn:de:0030-drops-111179},
  doi =		{10.4230/LIPIcs.COSIT.2019.25},
  annote =	{Keywords: Spatial information, physical environment, Shannon entropy}
}

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Assessing Spatial Information in Physical Environments (Short Paper)

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