Spatial Modeling of Daily PM2.5, NO2, and CO Concentrations Measured by a Low-Cost Sensor Network: Comparison of Linear, Machine Learning, and Hybrid Land Use Models

A Novel Method for Improving Air Pollution Prediction Based on Machine Learning Approaches: A Case Study Applied to the Capital City of Tehran

(2019) Mahmoud Delavar et al.   ISPRS International Journal of Geo-Information

Estimation of daily PM10 and PM2.5 concentrations in Italy, 2013–2015, using a spatiotemporal land-use random-forest model

(2019) Massimo Stafoggia et al.   ENVIRONMENT INTERNATIONAL

Fine particle mass monitoring with low-cost sensors: Corrections and long-term performance evaluation

(2019) Carl Malings et al.   AEROSOL SCIENCE AND TECHNOLOGY

Machine learning models accurately model ozone exposure during wildfire events

(2019) Gregory L. Watson et al.   ENVIRONMENTAL POLLUTION

Demonstration of a Low-Cost Multi-Pollutant Network to Quantify Intra-Urban Spatial Variations in Air Pollutant Source Impacts and to Evaluate Environmental Justice

(2019) Rebecca Tanzer et al.   International Journal of Environmental Research and Public Health

Contribution of low-cost sensor measurements to the prediction of PM2.5 levels: A case study in Imperial County, California, USA

(2019) Jianzhao Bi et al.   ENVIRONMENTAL RESEARCH

Predicting Daily Urban Fine Particulate Matter Concentrations Using a Random Forest Model

(2018) Cole Brokamp et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Spatial estimation of urban air pollution with the use of artificial neural network models

(2018) A. Alimissis et al.   ATMOSPHERIC ENVIRONMENT

Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables

(2018) Tomislav Hengl et al.   PeerJ

Capturing the sensitivity of land-use regression models to short-term mobile monitoring campaigns using air pollution micro-sensors

(2017) L. Minet et al.   ENVIRONMENTAL POLLUTION

Development of land use regression models for PM 2.5 , SO 2 , NO 2 and O 3 in Nanjing, China

(2017) Lei Huang et al.   ENVIRONMENTAL RESEARCH

Air Pollution and Mortality in the Medicare Population

(2017) Qian Di et al.   NEW ENGLAND JOURNAL OF MEDICINE

Assessing the Potential of Land Use Modification to Mitigate Ambient NO2 and Its Consequences for Respiratory Health

(2017) Meenakshi Rao et al.   International Journal of Environmental Research and Public Health

Application of plume analysis to build land use regression models from mobile sampling to improve model transferability

(2016) Yi Tan et al.   ATMOSPHERIC ENVIRONMENT

Application of mobile sampling to investigate spatial variation in fine particle composition

(2016) Hugh Z. Li et al.   ATMOSPHERIC ENVIRONMENT

Characterizing the spatial distribution of ambient ultrafine particles in Toronto, Canada: A land use regression model

(2016) Scott Weichenthal et al.   ENVIRONMENTAL POLLUTION

Land use regression models coupled with meteorology to model spatial and temporal variability of NO2 and PM10 in Changsha, China

(2015) Wu Liu et al.   ATMOSPHERIC ENVIRONMENT

Transferability and Generalizability of Regression Models of Ultrafine Particles in Urban Neighborhoods in the Boston Area

(2015) Allison P. Patton et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Using High-Resolution Satellite Aerosol Optical Depth To Estimate Daily PM2.5 Geographical Distribution in Mexico City

(2015) Allan C. Just et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

Evaluation of Land Use Regression Models for NO2 and Particulate Matter in 20 European Study Areas: The ESCAPE Project

(2013) Meng Wang et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

The Changing Paradigm of Air Pollution Monitoring

(2013) Emily G. Snyder et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Development of Land Use Regression Models for PM2.5, PM2.5 Absorbance, PM10 and PMcoarse in 20 European Study Areas; Results of the ESCAPE Project

(2012) Marloes Eeftens et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Near-Roadway Air Quality: Synthesizing the Findings from Real-World Data

(2010) Alex A. Karner et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Intercity transferability of land use regression models for estimating ambient concentrations of nitrogen dioxide

(2008) Karla Poplawski et al.   Journal of Exposure Science and Environmental Epidemiology