Self-organising maps for exploring the change in Portuguese communities in Toronto

Eric Vaz

Chapter 12 in Handbook on Big Data, Artificial Intelligence and Cities, 2025, pp 243-256 from Edward Elgar Publishing

Abstract: Self-organising maps (SOM) are an underexplored tool in geodemographic analysis, despite their potential to reveal significant insights about spatially explicit characteristics. This study proposes employing SOM to assess the shifts in the Portuguese population across different neighbourhoods in Toronto over a decade. The findings reveal that Portuguese communities in Toronto are not static but share a dynamic pattern of unique spatial change, challenging the prevalent assumption in policy and governance studies about fixed ethnic enclaves. It highlights the importance of adopting a more elaborate understanding of demographic shifts in urban areas to respond effectively to immigrant communities. Through a step-by-step exposition of the methodology of applying SOM in geodemographic analysis, this study offers a fresh perspective and strategy to better understand the spatial dynamics of population groups using the Portuguese community in Toronto as a case study.

Keywords: Self-organising maps; Geodemographics; Portuguese; Toronto; Spatial dynamics; Immigration patterns; Ethnic enclaves; Urban policy (search for similar items in EconPapers)
Date: 2025
ISBN: 9781803928043
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