Materia: A Data Quality Control Embedded Domain Specific Language in Python
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-61146-0_23
Reference14 articles.
1. Brabyn, L., et al.: Accuracy assessment of land surface temperature retrievals from landsat 7 ETM + in the dry valleys of antarctica using iButton temperature loggers and weather station data. Environ. Monit. Assess. 186(4), 2619–2628 (2013). https://doi.org/10.1007/s10661-013-3565-9. ISSN: 1573-2959
2. Campbell, J.L., et al.: Quantity is nothing without quality: automated QA/QC for streaming environmental sensor data. BioScience 63(7), 574–585 (2013). https://doi.org/10.1525/bio.2013.63.7.10. https://academic.oup.com/bioscience/article-lookup/doi/10.1525/bio.2013.63.7.10
3. ESIP Envirosensing Cluster. Sensor Data Quality (2019). http://wiki.esipfed.org/index.php/Sensor_Data_Quality. Accessed 28 May 2020
4. ESRI. ArcGIS October 2017. https://resources.arcgis.com/en/communities/data-reviewer/
5. Gill, A.: Domain-specific languages and code synthesis using haskell. Commun. ACM 57(6), 42–49 (2014)
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