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🆕 Date Issued:
2018
🗄 In DepositOnce:2018-03-29
Software

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Quality control for crowdsourced data from CWS

Grassmann, Tom; Napoly, Adrien; Meier, Fred; Fenner, Daniel

This package performs a quality control (QC) and filters suspicious data from citizen weather stations (CWS). It was designed for hourly air temperature data from Netatmo stations but should work with any normally-distributed data.
urban climatecrowdsourcingcitizen weather stationsair temperaturedata quality controlR code
  • To install the CrowdQC-package execute " install.packages(file.choose(), repos = NULL, type="source") " in your R installation. The included data is accessible with the command data("netatmoBer"). To try the developed quality control procedure, execute the routines m1 to m4 (and o1 to o3 for optional routines) with the included data. The package was build with R version 3.4.3.
GNU General Public License 3.0 (GNU GPLv3)

Version History

Now showing 1 - 3 of 3
VersionDateSummary
3
 2018-06-25 22:08:42
Bug fix in height correction (step m2). Logic of step o1 changed: Now missing data and data that removed in previous filter steps is interpolated. Interpolated data ( step o1 ) now is in an extra column.
2
 2018-05-31 10:11:23
Bug fix in qc steps O2 and O3. Renaming from "filterCWS" to "qcCWS". Documentation update.
1
 2018-03-29 12:29:57