Akademik Veri Yönetim Sistemi
5th International Urban Landscape And Art Congress, Paris, Fransa, 25 - 27 Ekim 2024, ss.62, (Özet Bildiri)
This study aims to classify and analyze the typology of green spaces across Istanbul’s urban districts by leveraging comprehensive datasets, offering insights for sustainable urban green space management. We primarily utilized the Urban Atlas, which maps land cover and land use within Functional Urban Areas (FUA), and enriched this with specialized data on street trees and small woody features from the Copernicus Land Monitoring Service (CLMS) for the year 2018.
The total area of each green space type per district was calculated, followed by min-max normalization to standardize these values across the dataset. This preparation allowed us to apply the k-means clustering algorithm, with the elbow method guiding the selection of the optimal number of clusters. Our analysis revealed that Istanbul’s districts can be classified into four distinct clusters based on green space characteristics: the first dominated by "forest" cover, the second by "small woody features," the third by "grasslands and open spaces with sparse vegetation," and the fourth by a mix of "forest" and "grasslands."
These findings underscore the importance of understanding green space typology in districts undergoing rapid urbanization, as it provides a reference point for optimizing ecosystem services derived from green spaces. While this study offers a foundational classification of green space types and their spatial extents, future analyses should focus on the detailed spatial distribution within each district to formulate targeted management recommendations.