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foqat (version 2.0.7.1)

Field Observation Quick Analysis Toolkit

Description

Tools for quickly processing and analyzing field observation data and air quality data. This tools contain functions that facilitate analysis in atmospheric chemistry (especially in ozone pollution). Some functions of time series are also applicable to other fields. For detail please view homepage. Scientific Reference: 1. The Hydroxyl Radical (OH) Reactivity: Roger Atkinson and Janet Arey (2003) . 2. Ozone Formation Potential (OFP): , Zhang et al.(2021) . 3. Aerosol Formation Potential (AFP): Wenjing Wu et al. (2016) . 4. TUV model: .

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Install

install.packages('foqat')

Monthly Downloads

231

Version

2.0.7.1

License

GPL-3 | file LICENSE

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Maintainer

Tianshu Chen

Last Published

April 8th, 2022

Functions in foqat (2.0.7.1)

geom_avri

Plot the average variation
afp

Calculate aerosol formation potential
aqi

Demo data of air quality
dm8n

Calculate daily maximum-8-hour ozone
dm8n_batch

Calculate daily maximum-8-hour ozone in batch
prop

Convert time series into proportion time series
ofp

Calculate ozone formation potential
met

Demo data of meteorology
nsvp

Calculate Surface Area, Volume, Mass of particle by particle number concentration
geom_psd

Plot the time series of particle size distribution.
geom_ts

Plot time series
koh

get kOH
loh

Calculate OH reactivity
tuv_core

Calculate TUV Online
tuv_batch

Calculate TUV in Batch Online
trs

Resample time series by summary statistics
tuv

Calculate TUV in batch
statdf

Summary of dataframe
setup_tuv

Demo data of setup for tuv
svri

Compute the variation of summary statistics
transp

Convert the format of particle size data
geom_tsw

Plot time series
geom_ts_batch

Plot time series in batch
voc

Demo data of volatile organic compounds (VOCs)
vocct

Convertion and analysis of VOC concentrations
anylm

Analysis of linear regression for time series in batch
avri

Calculate average of variation
dm8n_np

Calculate daily maximum-8-hour ozone without printing plot
fm

format the theme of plot
geom_avri_batch

Plot the average variation in batch