Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-6740
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.
URI: https://depositonce.tu-berlin.de//handle/11303/7520
http://dx.doi.org/10.14279/depositonce-6740
Issue Date: 2018
Date Available: 29-Mar-2018
DDC Class: 550 Geowissenschaften
Subject(s): urban climate
crowdsourcing
citizen weather stations
air temperature
data quality control
R code
License: https://choosealicense.com/licenses/gpl-3.0/
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

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CrowdQC_1.0.0.tar.gz2.35 MBR packageView/Open


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