Articles | Volume 18, issue 9
Research article
08 May 2018
Research article |  | 08 May 2018

The use of hierarchical clustering for the design of optimized monitoring networks

Joana Soares, Paul Andrew Makar, Yayne Aklilu, and Ayodeji Akingunola


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Joana Soares on behalf of the Authors (27 Mar 2018)  Author's response    Manuscript
ED: Publish as is (02 Apr 2018) by Randall V. Martin
Short summary
Grouping data on the basis of (dis)similarity can be used to assess the efficacy of monitoring networks. The data are cross-compared in terms of temporal variation and magnitude of concentrations, and sites are ranked according to their level of potential redundancy. The methodology can be applied to measurement data, helping to identify sites with different measuring technologies or data flaws, and to model output, generating maps of areas of spatial representativeness of a monitoring site.
Final-revised paper