UNDERSTANDING THE EFFECTS OF WEATHER DATA AND SITE CHARACTERISTICS ON URBAN AIR TEMPERATURE IN SINGAPORE USING MACHINE LEARNING

• Main Author: YANG, FAN
• Other Authors: BUILDING
• Format: Dissertation
• Language: English
• Published: 2019
• Subjects: Building; PFM; Project and Facilities Management; Wong Nyuk Hien; 2018/2019 PFM; Urban air temperature; Urban morphology; Microclimate; Machine learning; Multiple linear regression; Singapore
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/224042
• Institution: National University of Singapore

Bachelor's