A National Prediction Model Based on Universal Kriging and Land-Use Regression Using Satellite- Based NO2 Measurements for Epidemiological Analysis of Long-Term Health Effects

2014 ◽  
Vol 2014 (1) ◽  
pp. 2627
Author(s):  
Michael T. Young* ◽  
Matthew J. Bechle ◽  
Paul D. Sampson ◽  
Julian D. Marshall ◽  
Lianne A. Sheppard ◽  
...  
Keyword(s):  
Land Use ◽  
Prediction Model ◽  
Health Effects ◽  
Universal Kriging ◽  
Land Use Regression ◽  
Epidemiological Analysis ◽  
Model Based

scholarly journals Satellite-Based NO2 and Model Validation in a National Prediction Model Based on Universal Kriging and Land-Use Regression

2016 ◽  
Vol 50 (7) ◽  
pp. 3686-3694 ◽  
Author(s):  
Michael T. Young ◽  
Matthew J. Bechle ◽  
Paul D. Sampson ◽  
Adam A. Szpiro ◽  
Julian D. Marshall ◽  
...  
Keyword(s):  
Land Use ◽  
Prediction Model ◽  
Model Validation ◽  
Universal Kriging ◽  
Land Use Regression ◽  
Model Based

scholarly journals National PM2.5 and NO2 exposure models for China based on land use regression, satellite measurements, and universal kriging

2019 ◽  
Vol 655 ◽  
pp. 423-433 ◽  
Author(s):  
Hao Xu ◽  
Matthew J. Bechle ◽  
Meng Wang ◽  
Adam A. Szpiro ◽  
Sverre Vedal ◽  
...  
Keyword(s):  
Land Use ◽  
Universal Kriging ◽  
Satellite Measurements ◽  
Land Use Regression ◽  
Exposure Models

Land-use regression with long-term satellite-based greenness index and culture-specific sources to model PM2.5 spatial-temporal variability

2017 ◽  
Vol 224 ◽  
pp. 148-157 ◽  
Author(s):  
Chih-Da Wu ◽  
Yu-Cheng Chen ◽  
Wen-Chi Pan ◽  
Yu-Ting Zeng ◽  
Mu-Jean Chen ◽  
...  
Keyword(s):  
Land Use ◽  
Temporal Variability ◽  
Land Use Regression ◽  
Greenness Index
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