Grassmann, TomNapoly, AdrienMeier, FredFenner, Daniel2018-03-292018-03-292018https://depositonce.tu-berlin.de/handle/11303/7520http://dx.doi.org/10.14279/depositonce-6740To 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.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.en550 Geowissenschaftenurban climatecrowdsourcingcitizen weather stationsair temperaturedata quality controlR codeQuality control for crowdsourced data from CWSSoftware