License: Creative Commons Attribution 3.0 Unported license (CC-BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.COSIT.2019.25
URN: urn:nbn:de:0030-drops-111179
URL: https://drops.dagstuhl.de/opus/volltexte/2019/11117/
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Netto, Vinicius M. ; Brigatti, Edgardo ; Cacholas, Caio ; Aleixo, Vinicius Gomes

Assessing Spatial Information in Physical Environments (Short Paper)

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LIPIcs-COSIT-2019-25.pdf (11 MB)


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.

BibTeX - Entry

@InProceedings{netto_et_al:LIPIcs:2019:11117,
  author =	{Vinicius M. Netto and Edgardo Brigatti and Caio Cacholas and Vinicius Gomes Aleixo},
  title =	{{Assessing Spatial Information in Physical Environments (Short Paper)}},
  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 =	{Sabine Timpf and Christoph Schlieder and Markus Kattenbeck and Bernd Ludwig and Kathleen Stewart},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2019/11117},
  URN =		{urn:nbn:de:0030-drops-111179},
  doi =		{10.4230/LIPIcs.COSIT.2019.25},
  annote =	{Keywords: Spatial information, physical environment, Shannon entropy}
}

Keywords: Spatial information, physical environment, Shannon entropy
Collection: 14th International Conference on Spatial Information Theory (COSIT 2019)
Issue Date: 2019
Date of publication: 03.09.2019


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