Package: mmaqshiny
Title: Explore Air Quality Mobile-Monitoring Data
Version: 1.0.0
Authors@R: c(
    person(given = "Adithi R.", family = "Upadhya", email = "adithi@ilklabs.com", role = c("aut", "cre", "cph")),
    person(given = "Pratyush", family = "Agrawal", email = "pratyush@ilklabs.com", role = "dtc"),
    person(given = "Sreekanth", family = "Vakacherla", email = "sree.hcu@gmail.com", role = c("aui", "ctb")),
    person(given = "Meenakshi", family = "Kushwaha", email = "meenakshi@ilklabs.com", role = c("aut", "cph")))
Description: Mobile-monitoring or sensors on a mobile platform, is an
        increasingly popular approach to measure high-resolution
        pollution data at the street level. Coupled with location data,
        spatial visualization of air-quality parameters helps detect
        localized areas of high air pollution, also called hotspots. In
        this approach, portable sensors are mounted on a vehicle and
        driven on predetermined routes to collect high frequency data
        (1 Hz). 'mmaqshiny' is for analysing, visualizing and spatial
        mapping of high-resolution air-quality data collected by
        specific devices installed on a moving platform. 1 Hz data of
        PM2.5 (mass concentrations of particulate matter with size less
        than 2.5 microns), Black carbon mass concentrations (BC),
        ultra-fine particle number concentrations, carbon dioxide along
        with GPS coordinates and relative humidity (RH) data collected
        by popular portable instruments (TSI DustTrak-8530, Aethlabs
        microAeth-AE51, TSI CPC3007, LICOR Li-830, Garmin GPSMAP 64s,
        Omega USB RH probe respectively). It incorporates device
        specific cleaning and correction algorithms. RH correction is
        applied to DustTrak PM2.5 following the Chakrabarti et al.,
        (2004) <doi:10.1016/j.atmosenv.2004.03.007>. Provision is given
        to add linear regression coefficients for correcting the PM2.5
        data (if required). BC data will be cleaned for the vibration
        generated noise, by adopting the statistical procedure as
        explained in Apte et al., (2011)
        <doi:10.1016/j.atmosenv.2011.05.028>, followed by a loading
        correction as suggested by Ban-Weiss et al., (2009)
        <doi:10.1021/es8021039>. For the number concentration data,
        provision is given for dilution correction factor (if a diluter
        is used with CPC3007; default value is 1). The package joins
        the raw, cleaned and corrected data from the above said
        instruments and outputs as a downloadable csv file.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: htmltools (>= 0.5.1.1), Cairo (>= 1.5.12.2), xts (>= 0.12.1),
        lubridate (>= 1.7.10), zoo (>= 1.8.9), caTools (>= 1.18.2),
        data.table (>= 1.14.0), DT (>= 0.17), dplyr (>= 1.0.5), ggplot2
        (>= 3.3.3), tidyverse (>= 1.3.0), leaflet (>= 2.0.4.1), shiny
        (>= 1.6.0), XML (>= 3.99.0.6), shinyjs (>= 2.0.0), plotly (>=
        4.9.3)
Suggests: testthat (>= 3.0.2), devtools (>= 2.4.0), usethis (>= 2.0.1),
        shinytest (>= 1.5.0)
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.1
URL: https://github.com/meenakshi-kushwaha/mmaqshiny
BugReports: https://github.com/meenakshi-kushwaha/mmaqshiny/issues
Config/pak/sysreqs: libabsl-dev libcairo2-dev cmake libfontconfig1-dev
        libfreetype6-dev libfribidi-dev libgdal-dev gdal-bin
        libgeos-dev make libharfbuzz-dev libicu-dev libjpeg-dev
        libpng-dev libtiff-dev libuv1-dev libwebp-dev libxml2-dev
        libssl-dev libproj-dev libsqlite3-dev libudunits2-dev
        libx11-dev zlib1g-dev
Repository: https://meenakshi-kushwaha.r-universe.dev
Date/Publication: 2022-05-10 08:43:00 UTC
RemoteUrl: https://github.com/meenakshi-kushwaha/mmaqshiny
RemoteRef: HEAD
RemoteSha: 3984c50aaecbb0d1ca50f2402e00e7fc48ff57de
NeedsCompilation: no
Packaged: 2026-10-05 10:06:23 UTC; root
Author: Adithi R. Upadhya [aut, cre, cph],
  Pratyush Agrawal [dtc],
  Sreekanth Vakacherla [aui, ctb],
  Meenakshi Kushwaha [aut, cph]
Maintainer: Adithi R. Upadhya <adithi@ilklabs.com>