Dış Kaynaklı Proje Süreçleri Yönetim Sistemi
Tuna tuygun G. (Yürütücü), Elbir T. , Bilgiç E. , Gündoğdu S.
GAP-MR exemplifies scientific and technological excellence through its innovative approach to analyzing air quality and its impacts on mortality rates. The project leverages an advanced mixed model, including a combination of two or more ML models and GTWR, to predict the spatial distribution of PM10. This sophisticated method allows for a detailed and localized understanding of pollution patterns, which is crucial for accurately assessing environmental and health impacts at the district level. Additionally, the project integrates cutting-edge spatial analysis with health data, enabling a comprehensive evaluation of the relationships between air pollution, green spaces, and mortality rates using GeoAI. By utilizing high-resolution data and advanced analytical techniques, GAP-MR ensures its findings are robust, reliable, and at the forefront of current environmental science research.