Landscape Information Modeling (LIM)

Authors

DOI:

https://doi.org/10.11606/issn.2317-2762.posfau.2020.168291

Keywords:

Landscape project, Landscape information modeling, Algorithmic modeling

Abstract

This article presents the LIM platform as tool to integrate and operationalize complementary landscape projects. Therefore, it proposes the development of Landscape Information Modeling (LIM), which consists of an integrated design platform that simulates aspects of built environments, integrating natural elements and processes. The landscape design, being an integrating dimension of the layers of intervention in the space, allows greater transparency and democratization of the decision and execution process, being able to be oriented towards meeting social, ecological, economic demands and respecting its historical particularities. A highlighted point refers to the structuring of LIM, which requires the definition of a set of project parameters characterized by their diversity, adaptation and responsiveness. Hence, we argue that including parameters it is possible to propose numerous variations for the model that allow to assess the degree of response and adaptation and, therefore, their intelligence, here understood as the system's ability to adapt to the new conditions offered by the project.

Downloads

Download data is not yet available.

Author Biographies

  • Adriana Afonso Sandre, Universidade de São Paulo. Faculdade de Arquitetura e Urbanismo

    Doutoranda FAU/USP. Bolsista CAPES

     

  • Paulo Renato Mesquita Pellegrino, Universidade de São Paulo

    Professor senior FAU/USP

References

ARDETTI, JOSEPH.; ELLIOTT, JOHN.; KITCHING, IAN.J.; WASSERTHAL, LUTZ.T. ‘Good Heavens what insect can suck it’ – Charles Darwin, Angraecum sesquipedale and Xanthopan morganii praedicta. Botanical Journal of the Linnean Society, 2012, p. 403-432.

AGKATHIDIS, Asterios. Generative Design Methods. In: Proceedings of eCAADe. 2015, Oulu, Finlândia, Real Time: Extending the Reach of Computation, 2015, p. 47-55.

CELANI, Gabriela. CAAD (Computer-Aided Architectural Design). In: BRAIDA, Frederico et al. (orgs.) 101 conceitos de arquitetura e urbanismo na era digital. ProBooks, 2017.

CELANI, Gabriela; VAZ, Carlos Eduardo Verzola. CAD Scripting And Visual Programming Languages For Implementing Computational Design Concepts: A Comparison From A Pedagogical Point Of View. International Journal of Architectural Computing, v. 10, p. 121-138, 2012.

DUARTE, Denise Helena Silva; SHINZATO, Paula; GUSSON, Carolina dos Santos; ALVES, Carolina Abrahão. The impact of vegetation on urban microclimate to counterbalance built density in a subtropical changing climate. Urban Climate, v.14, p. 224-239, 2015. DOI: http://dx.doi.org/10.1016/j.uclim.2015.09.006

EASTMAN, Chuck; TEICHOLZ, Paul; SACKS, Rafael; LISTON, Kathleen. BIM Handbook: a Guide to Building Information Modeling for Owners, Managers, Designers, Engineers, and Contractors. Hoboken, NJ: John Wiley & Sons, 2008.

ENGELBART, Douglas C. Augmenting human intellect: A conceptual framework. Menlo Park, CA, 1962.

KOTNIK, Toni. Digital architectural design as exploration of computable functions. International journal of architectural computing, v.8., n.1 p. 1-16, 2010

LANDIM, Gabriele do Rosário. Programação para Arquitetura: linguagens visuais e textuais em Projeto Orientado ao Desempenho. 2019. 163 f. Dissertação (Mestrado em Arquitetura e Urbanismo) – Instituto de Arquitetura e Urbanismo, Universidade de São Paulo, São Carlos, 2019.

LAISERIN, Jerry. Comparing Pommes and Naranjas. The Laiserin Letter, 2016

LEACH, Neil. Parametrics Explained. Next Generation Building, v. 1, n. 1, p. 33-42, 2014.

LOPES, José; LEITÃO, Antonio. Portable generative design for CAD applications. Integration Through Computation – Proceedings of the 31st Annual Conference of the Association for Computer Aided Design in Architecture, ACADIA 2011, p. 196-203, 2011.

MOTTA, Silvio R. F.; MOURA, Ana Clara Mourão; RIBEIRO, Suellen R. Dynamic models of multicriteria to combine variables: the use of parametric model and genetic algorithm in the study of the World Heritage area recognized by UNESCO in Pampulha, Brazil. Gestão & Tecnologia de Projetos, v. 14, n. 1, p. 142-159, 2019.

MOURA, Newton C. B.; PELLEGRINO, Paulo R.M.; SCARATI, José R.; RAVIOLO, Bruno; MOREIRA, Eugênio. Intelligent Landscapes: Application of Parametric Modeling for a New Generation of Flood Risk Management Reservoirs in São Paulo City, Brazil. Disegnarecon, v. 11, n. 20, p. 11-1-11.15, 2018

NOWAK, David; GREENFIELD, Eric.; HOELN, Robert; LAPOINT, Elizabeth. Carbon storage and sequestration by trees in urban and community areas of the United States. Environmental Pollution v.178, p.229-236, 2013

RASERA, Susane. Biomassa e carbono no estrato arbóreo em área restaurada de Mata Atlântica. 2018. 93 f. Tese (Doutorado em Ciências) – Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, Piracicaba, 2018.

SHINZATO, Paula; SIMONB, Helge; DUARTE, Denise Helena Silva; BRUSEB, Michael. Calibration process and parametrization of tropical plants using ENVI-met V4– São Paulo case study. Architectural Science Review, v. 62, n. 2, p. 112-125, 2019. DOI: http://dx.doi.org/10.1080/00038628.2018.1563522

ZANINI, Anani Morilha. Estoque de carbono em restaurações florestais com 5 anos de idade na Mata Atlântica. 2019. 89 f. Tese (Doutorado em Ciências) – Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, Piracicaba, 2018.

Published

2021-01-08

Issue

Section

Dossiê: Meio ambiente e espaço construído: ideias, técnicas e processos

How to Cite

Sandre, A. A., & Pellegrino, P. R. M. (2021). Landscape Information Modeling (LIM). Pós. Revista Do Programa De Pós-Graduação Em Arquitetura E Urbanismo Da FAUUSP, 27(51), e168291. https://doi.org/10.11606/issn.2317-2762.posfau.2020.168291