Assessing Spatial Information in Physical Environments (Short Paper)

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



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Author Details

Vinicius M. Netto
  • Department of Urbanism, Universidade Federal Fluminense (UFF), Rua Passo da Patria 156, Niteroi, Rio de Janeiro state, Brazil
Edgardo Brigatti
  • Institute of Physics, Universidade Federal do Rio de Janeiro, Av. Athos da Silveira Ramos, 149, Cidade Universitaria, 21941-972, Rio de Janeiro, RJ, Brazil
Caio Cacholas
  • Programme of Graduate Studies, Universidade Federal Fluminense (UFF), Rua Passo da Patria 156, Niteroi, Rio de Janeiro state, Brazil
Vinicius Gomes Aleixo
  • Programme of Graduate Studies, Universidade Federal Fluminense (UFF), Rua Passo da Patria 156, Niteroi, Rio de Janeiro state, Brazil

Cite AsGet BibTex

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)
https://doi.org/10.4230/LIPIcs.COSIT.2019.25

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.

Subject Classification

ACM Subject Classification
  • Social and professional topics
  • Social and professional topics → Cultural characteristics
  • Social and professional topics → User characteristics
Keywords
  • Spatial information
  • physical environment
  • Shannon entropy

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