OnoM@p : a Spatial Data Infrastructure dedicated to noise monitoring based on volunteers measurements
- Published
- Accepted
- Subject Areas
- Spatial and Geographic Information Systems, World Wide Web and Web Science
- Keywords
- Noise, GIS, crowdsourcing, smartphones, OGC, SDI, spatial analysis, VGI
- Copyright
- © 2016 Bocher et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2016. OnoM@p : a Spatial Data Infrastructure dedicated to noise monitoring based on volunteers measurements. PeerJ Preprints 4:e2273v2 https://doi.org/10.7287/peerj.preprints.2273v2
Abstract
The present paper proposes an ideal Spatial Data Infrastructure (SDI) dedicated to noise monitoring based on volunteers measurements. Called OnoM@P, it takes advantage of the geospatial standards and open source tools to build an integrated platform to manage the whole knowledge about a territory and to observe its dynamics. It intends also to diffuse good practices to organize, collect, represent and process geospatial data in field of acoustic researches. OnoM@p falls within the framework of the Environmental Noise Directive (END) 2002/49/CE. The system relies on the NoiseCapture Android application developed for allowing each citizen to estimate its own noise exposure with its smartphone.
Author Comment
This is an article intended for the OGRS2016 Collection. A conclusion has been added to respond to the reviewer.
