Wang_et_al_2022

Wang, Qi, et al. “The dominant factors and influence of urban characteristics on land surface temperature using random forest algorithm.” Sustainable Cities and Society 79 (2022): 103722.

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Keywords: stats, methods, urban trees

• use random forest to rank the importance of each factor in prediction of LST
• used VIF values to assess multicollinearity and removed highly correlated variables
• decision trees are built using random selection of training samples and predictor variables
  • number of decision trees and number of variables per trees should be optimized using cross validation
• used permutation based variable importance to assess importance of variables on LST
  • drop variables sequentially and assess impact on RSME
• Partial dependence plots were used to assess the relationships between highly important variables (assess relationship while holding other vars constant)