Please use this identifier to cite or link to this item:
Main Title: Quality control for crowdsourced data from CWS
Author(s): Grassmann, Tom
Napoly, Adrien
Meier, Fred
Fenner, Daniel
Type: Software
Language Code: en
Abstract: 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.
Issue Date: 2018
Date Available: 29-Mar-2018
DDC Class: 550 Geowissenschaften
Subject(s): urban climate
citizen weather stations
air temperature
data quality control
R code
Notes: 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.
Appears in Collections:FG Klimatologie » Research Data

Files in This Item:
File Description SizeFormat 
CrowdQC_1.2.0.tar.gz2.35 MBR packageView/Open

Version History
Version Item Date Summary
3 10.14279/depositonce-6740.3 2018-06-25 22:08:42.36 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 10.14279/depositonce-6740.2 2018-05-31 10:11:23.039 Bug fix in qc steps O2 and O3. Renaming from "filterCWS" to "qcCWS". Documentation update.
1 10.14279/depositonce-6740 2018-03-29 12:29:57.0

Items in DepositOnce are protected by copyright, with all rights reserved, unless otherwise indicated.