Computational Simulations as an Analysis Tool in Urban and Landscape Studies: Experiences from LED-Akajus at UFC

Abstract

Objective – This article aims to present the use of computational simulations as analysis and experimentation tools in urban and landscape studies, demonstrating different methodological applications through four studies developed by the partnership between the Digital Experiences Laboratory (LED) and the Akajus research group at the Federal University of Ceará.

Methodology – The work is based on the application of information modeling (LIM - Landscape Information Modeling) from complexity theory to develop simulations that allow the analysis of urban phenomena that are difficult to observe directly.

Originality/Relevance – The study fits into the theoretical gap of applying advanced computational tools for analyzing complex urban phenomena, presenting academic relevance in demonstrating innovative methodologies that integrate information modeling and complexity theory in Brazilian urban and landscape contexts.

Results – Four studies are presented that demonstrate different methodological applications: the PAC study group, hydrological modeling of the Mata-Fome Basin in Belém, urban environmental quality analysis through computational indicators, and a social dynamics simulator in urban context.

Theoretical/Methodological Contributions – The work contributes to methodological advancement in the application of LIM (Landscape Information Modeling) in urban studies, establishing protocols for computational simulation of complex phenomena and demonstrating the feasibility of integration between parametric modeling, environmental data analysis and social dynamics simulation.

Social and Environmental Contributions The developed methodologies offer tools for urban environmental quality analysis, water resource management in watersheds and understanding of social dynamics in urban contexts, contributing to more sustainable and socially conscious urban planning.