A land use regression model using machine learning and locally developed low cost particulate matter sensors in Uganda

Low-cost sensor networks and land-use regression: Interpolating nitrogen dioxide concentration at high temporal and spatial resolution in Southern California

(2020) Lena Weissert et al.   ATMOSPHERIC ENVIRONMENT

Comparison of Machine Learning and Land Use Regression for fine scale spatiotemporal estimation of ambient air pollution: Modeling ozone concentrations across the contiguous United States

(2020) Xiang Ren et al.   ENVIRONMENT INTERNATIONAL

Air Pollution Measurements and Land-Use Regression in Urban Sub-Saharan Africa Using Low-Cost Sensors—Possibilities and Pitfalls

(2020) Asmamaw Abera et al.   Atmosphere

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

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

Estimate annual and seasonal PM1, PM2.5 and PM10 concentrations using land use regression model

(2019) Mohammad Miri et al.   ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY

Low-cost sensors and microscale land use regression: Data fusion to resolve air quality variations with high spatial and temporal resolution

(2019) L.F. Weissert et al.   ATMOSPHERIC ENVIRONMENT

An ensemble-based model of PM2.5 concentration across the contiguous United States with high spatiotemporal resolution

(2019) Qian Di et al.   ENVIRONMENT INTERNATIONAL

Low-Cost Environmental Sensor Networks: Recent Advances and Future Directions

(2019) Feng Mao et al.   Frontiers in Earth Science

Mapping urban air quality using mobile sampling with low-cost sensors and machine learning in Seoul, South Korea

(2019) Chris C. Lim et al.   ENVIRONMENT INTERNATIONAL

New insights into the spatial distribution of particle number concentrations by applying non-parametric land use regression modelling

(2019) Md Mahmudur Rahman et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Proliferation of low-cost sensors. What prospects for air pollution epidemiologic research in Sub-Saharan Africa?

(2018) A. Kofi Amegah   ENVIRONMENTAL POLLUTION

Hourly land-use regression models based on low-cost PM monitor data

(2018) Mauro Masiol et al.   ENVIRONMENTAL RESEARCH

Spatiotemporal land use random forest model for estimating metropolitan NO 2 exposure in Japan

(2018) Shin Araki et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Land Use Regression Modelling of Outdoor NO2 and PM2.5 Concentrations in Three Low Income Areas in the Western Cape Province, South Africa

(2018) Apolline Saucy et al.   International Journal of Environmental Research and Public Health

Spatial-temporal variations of summertime ozone concentrations across a metropolitan area using a network of low-cost monitors to develop 24 hourly land-use regression models

(2018) Mauro Masiol et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Low-cost mobile air pollution monitoring in urban environments: a pilot study in Lubbock, Texas

(2017) Grant R. McKercher et al.   ENVIRONMENTAL TECHNOLOGY

Low-Cost Air Quality Monitoring Tools: From Research to Practice (A Workshop Summary)

(2017) Andrea L. Clements et al.   SENSORS

Microbial and chemical contamination of water, sediment and soil in the Nakivubo wetland area in Kampala, Uganda

(2015) Samuel Fuhrimann et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Modeling spatial effects of PM2.5 on term low birth weight in Los Angeles County

(2015) Eric Coker et al.   ENVIRONMENTAL RESEARCH

Application of the deletion/substitution/addition algorithm to selecting land use regression models for interpolating air pollution measurements in California

(2013) Bernardo S. Beckerman et al.   ATMOSPHERIC ENVIRONMENT

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

Predicting regional space–time variation of PM2.5 with land-use regression model and MODIS data

(2011) Liang Mao et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Household and community poverty, biomass use, and air pollution in Accra, Ghana

(2011) Z. Zhou et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A review of land-use regression models to assess spatial variation of outdoor air pollution

(2008) Gerard Hoek et al.   ATMOSPHERIC ENVIRONMENT