Low Cost Sensor Networks: How Do We Know the Data Are Reliable?-Reference-Cited by-同舟云学术

Low Cost Sensor Networks: How Do We Know the Data Are Reliable?

Published:2019-09-16 Issue:10 Volume:4 Page:2558-2565
ISSN:2379-3694
Container-title:ACS Sensors
language:en
Short-container-title:ACS Sens.

Author:

Williams David E¹^ORCID

Affiliation:

1. School of Chemical Sciences and MacDiarmid Institute for Advanced Materials and Nanotechnology, University of Auckland, Private Bag 921019, Auckland 1142, New Zealand

Funder

Ministry of Business, Innovation and Employment

Institute of Advanced Study, Durham University

Publisher

American Chemical Society (ACS)

Subject

Fluid Flow and Transfer Processes,Process Chemistry and Technology,Instrumentation,Bioengineering

Link

https://pubs.acs.org/doi/pdf/10.1021/acssensors.9b01455

Reference71 articles.

1. Citizen Science, Air Quality, and the Internet of Things

2. hackAIR: Towards Raising Awareness about Air Quality in Europe by Developing a Collective Online Platform

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

4. 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

5. Health and climate related ecosystem services provided by street trees in the urban environment

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