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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Machado, A. F., Silva, C. S., Ribeiro, L. C. & Costa, P. (2026). Evidence of creative clusters in Portugal. European Planning Studies. 34 (2), 258-281
Exportar Referência (IEEE) 
A. F. Machado et al.,  "Evidence of creative clusters in Portugal", in European Planning Studies, vol. 34, no. 2, pp. 258-281, 2026
Exportar BibTeX 
@article{machado2026_1772726622873,
	author = "Machado, A. F. and Silva, C. S. and Ribeiro, L. C. and Costa, P.",
	title = "Evidence of creative clusters in Portugal",
	journal = "European Planning Studies",
	year = "2026",
	volume = "34",
	number = "2",
	doi = "10.1080/09654313.2025.2580385",
	pages = "258-281",
	url = "https://www.tandfonline.com/journals/ceps20"
}
Exportar RIS 
TY  - JOUR
TI  - Evidence of creative clusters in Portugal
T2  - European Planning Studies
VL  - 34
IS  - 2
AU  - Machado, A. F.
AU  - Silva, C. S.
AU  - Ribeiro, L. C.
AU  - Costa, P.
PY  - 2026
SP  - 258-281
SN  - 0965-4313
DO  - 10.1080/09654313.2025.2580385
UR  - https://www.tandfonline.com/journals/ceps20
AB  - The late twentieth century consolidated a series of socioeconomic transformations that have impacted modes of production, consumption, relationships, enjoyment, and accumulation. The intangibility and digitization anchored in the revolution of information and communication technologies are markers of this structural shift. At the core of this process, creativity, knowledge, innovation, and place have become even more critical inputs for the development and diversification of economies. To identify clusters in Portugal, the primary data source used is the 2021 Census, carried out by the National Institute of Statistics of Portugal, which provides information about the country's 308 municipalities. Indicators are divided into variables related to artistic creativity, scientific creativity, and socioeconomic dynamism and diversity, taking into account the theoretical framework. After normalizing the indicators, the TSNE technique was applied, a non-linear dimensionality reduction method aimed at representing high-dimensional data in a lower-dimensional space while preserving local data structure. The study details the municipalities in five main clusters. It is suggested that the analysis of creative clusters can help better understand the distribution and characteristics of creative activities in different regions of Portugal, providing valuable insights for regional and urban development policies.
ER  -