Tóth, Zsolt György (2024) Clustering analysis of the nineteen most populous Hungarian cities using Urban Atlas Building Height Data from Copernicus Land Monitoring Service's 10m raster maps. In: Wood 4 Sustainability. Soproni Egyetem Kiadó, Sopron, pp. 191-199. ISBN 9789633345412
![]() |
Szöveg
1_TothZsolt-wood-4-sustainability-2024-digitalis-kotelesp-2024.pdf Download (1MB) |
Absztrakt (kivonat)
This pilot study delves into the clustering of Hungarian cities based on building height data extracted from Copernicus Building Height 2012 (BH2012) raster maps. BH2012 raster maps have proven overall reliability, yet their potential for city classification and clustering re-mains underexplored in the literature. While previous studies often prioritize sociological-historical analyses, this research takes a data-driven approach, emphasizing the significance of building height as a fundamental indicator of urban character. By employing four distinct clustering methods, including both legislative criteria and univariate k-means algorithms, this study aims to elucidate underlying patterns in the distribution of building heights across ma-jor Hungarian cities. The univariate k-means clustering approach yields more coherent clus-ters compared to methods based on regulatory frameworks, underscoring the efficacy of data-driven methodologies in capturing nuanced urban characteristics.
Tudományterület / tudományág
műszaki tudományok > építőmérnöki tudományok
Kar
Nem releváns
Intézmény
Soproni Egyetem
Mű tipusa: | Könyv része |
---|---|
SWORD Depositor: | Teszt Sword |
Felhasználó: | Csaba Horváth |
A mű MTMT azonosítója: | MTMT:35997678 |
Dátum: | 20 Már 2025 07:52 |
Utolsó módosítás: | 20 Már 2025 07:52 |
URI: | http://publicatio.uni-sopron.hu/id/eprint/3511 |
Actions (login required)
![]() |
Tétel nézet |