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

50 citations · 51 across the 2 of their papers we have counts for

collaborators

5 papers

stat.AP2019

Hierarchical network design for nitrogen dioxide measurement in urban environments, part 1: proxy selection

Lena Weissert, Georgia Miskell, Elaine Miles +8

Previous studies have shown that a hierarchical network comprising a number of compliant reference stations and a much larger number of low-cost sensors can deliver reliable air qu…

stat.AP20191 cited

Hierarchical network design for nitrogen dioxide measurement in urban environments, part 2: network-based sensor calibration

Lena Weissert, Elaine Miles, Georgia Miskell +8

We present a management and data correction framework for low-cost electrochemical sensors for nitrogen dioxide (NO2) deployed within a hierarchical network of low-cost and regulat…

stat.AP201950 cited

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

Lena Weissert, Kyle Alberti, Elaine Miles +8

The development of low-cost sensors and novel calibration algorithms offer new opportunities to supplement existing regulatory networks to measure air pollutants at a high spatial…

stat.AP2019

Low Cost Sensor Networks; How Do We Know the Data are Reliable?

David E Williams

Plausibility of data from networks of low-cost measurement devices is a growing and important contentious issue. Informal networks of low-cost devices have particularly come to pro…

stat.AP2019

Reliable data from low cost ozone sensors in a hierarchical network

Georgia Miskell, Kyle Alberti, Brandon Feenstra +7

We demonstrate how a hierarchical network comprising a number of compliant reference stations and a much larger number of low-cost sensors can deliver reliable high temporal-resolu…