Title: 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
1. The Hydroxyl Radical (OH) Reactivity: Roger Atkinson and Janet Arey (2003) <doi:10.1021/cr0206420>.
2. Ozone Formation Potential (OFP): <https://ww3.arb.ca.gov/regact/2009/mir2009/mir10.pdf>.
Imports: lubridate, magrittr, xml2, rvest, dplyr, plyr, stats, stringr,
utils, lmodel2, reshape2, ggplot2, ggplotify, gridExtra
Packaged: 2021-03-17 01:34:00 UTC; Administrator

Packaged: 2021-03-28 15:02:32 UTC; Administrator

2. Ozone Formation Potential (OFP): <https://ww2.arb.ca.gov/sites/default/files/classic/regact/2009/mir2009/mir10.pdf>.
Packaged: 2021-06-23 10:29:27 UTC; Administrator

2. Ozone Formation Potential (OFP): <https://ww2.arb.ca.gov/sites/default/files/classic/regact/2009/mir2009/mir10.pdf>, Zhang et al.(2021) <doi:10.5194/acp-21-11053-2021>.
3. Aerosol Formation Potential (AFP): Wenjing Wu et al. (2016) <doi:10.1016/j.jes.2016.03.025>.
Imports: lubridate, magrittr, dplyr, plyr, stats, stringr, utils,
lmodel2, reshape2, ggplot2, ggprism, ggplotify, gridExtra,
Packaged: 2021-08-17 16:44:03 UTC; Administrator

2. Ozone Formation Potential (OFP): <http://ww2.arb.ca.gov/sites/default/files/barcu/regact/2009/mir2009/mir10.pdf>, Zhang et al.(2021) <doi:10.5194/acp-21-11053-2021>.
lmodel2, reshape2, ggplot2, ggplotify, gridExtra, scales,
Packaged: 2022-01-19 00:58:44 UTC; Administrator

2. Ozone Formation Potential (OFP): <https://ww2.arb.ca.gov/sites/default/files/barcu/regact/2009/mir2009/mir10.pdf>, Zhang et al.(2021) <doi:10.5194/acp-21-11053-2021>.
Packaged: 2022-03-07 08:26:27 UTC; Administrator

Packaged: 2022-04-05 07:42:08 UTC; Administrator

Packaged: 2022-04-08 15:36:29 UTC; Administrator

Packaged: 2022-04-05 11:53:39 UTC; Administrator

Title: Foraminiferal Image Analysis and Test Measurement
person("Thaise", "R Freitas", , "thaisericardo.freitas@gmail.com", c("aut", "cre")),
person("Eduardo", "Bacalhau", , role = "aut"),
person("Carla", "Bonetti", , role = "aut"))
Maintainer: Thaise R Freitas <thaisericardo.freitas@gmail.com>
The goal of this collection of functions is to provide an easy to use tool for the measurement of foraminifera and other unicellulars organisms size. With functions developed to guide foraminiferal test biovolume calculations and cell biomass estimations. The volume function includes several microalgae models geometric adaptations based on Hillebrand et al. (1999) <doi:10.1046/j.1529-8817.1999.3520403.x>, Sun and Liu (2003) <doi:10.1093/plankt/fbg096> and Vadrucci, Cabrini and Basset (2007) <doi:10.1285/i1825229Xv1n2p83>.
Imports: dplyr, magrittr, tibble, reticulate
Suggests: knitr, rmarkdown, data.table, xml2, raster, testthat (>=
SystemRequirements: Python >=3.5, numpy ( >= 1.18.1), imutils ( >=
Packaged: 2021-03-01 19:43:14 UTC; Thaise Freitas