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  • 标题:Assessing Spatial Information in Physical Environments (Short Paper)
  • 本地全文:下载
  • 作者:Vinicius M. Netto ; Edgardo Brigatti ; Caio Cacholas
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2019
  • 卷号:142
  • 页码:1-8
  • DOI:10.4230/LIPIcs.COSIT.2019.25
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要: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.
  • 关键词:Spatial information; physical environment; Shannon entropy
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