sensortoolkit.model
The sensortoolkit.model
subpackage contains modules for applying or creating
correction methods for sensor data. Methods include the U.S.-Wide Correction
Equation developed by Barkjohn et al. 2021 1 for the PurpleAir PA-II and modules for
calculating or applying a general linear correction equation based on the ordinary
least-squares regression between sensor (dependent variable) and reference
(independent variable) measurements.
Clicking on each module below will open a page with a detailed description and list of functions included within the module.
This module contains a method for applying a linear correction to an individual sensor dataset based off the ordinary least-squares regression between collocated sensor and FRM/FEM measurements. |
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This module contains methods for applying correction equations specific to the PurpleAir PA-II sensor. |
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This module contains a method for computing the ordinary least-squares (OLS) regression between collocated sensor and FRM/FEM reference measurements. |
Footnotes
- 1
Barkjohn, K. K., Gantt, B., and Clements, A. L.: Development and application of a United States-wide correction for PM2.5 data collected with the PurpleAir sensor, Atmos. Meas. Tech., 14, 4617–4637, https://doi.org/10.5194/amt-14-4617-2021, 2021.