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Multidimensional Space: From Perspective to Big Data

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Graphic Imprints (EGA 2018)

Abstract

Architecture has historically led spatial representation. The question is why architecture does not have an active role in the contemporary investigations over conceptions and developments on multidimensional spaces. Computation has established new representational paradigms that can be compared to the revolution of perspective in the Renaissance. But architects have now limited authorship in the current digital revolution that is transforming systems of representation that they work with every day. The essay is based on latent problems of multidimensional spatial projection from the development of linear perspective in the Renaissance to the complexity of multidimensional representation in the Baroque. The essay explores higher dimensional space in computer representation by displacing conventional spatial projection methods, from perspective, to topology, to big data processing.

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Lorenzo-Eiroa, P. (2019). Multidimensional Space: From Perspective to Big Data. In: Marcos, C. (eds) Graphic Imprints. EGA 2018. Springer, Cham. https://doi.org/10.1007/978-3-319-93749-6_34

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  • DOI: https://doi.org/10.1007/978-3-319-93749-6_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93748-9

  • Online ISBN: 978-3-319-93749-6

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