mmaqshiny

1.0.0

Explore Air-Quality Mobile-Monitoring Data

0packages depend

3.1Kdownloads / year

–test coverage

10/13checks pass

Overview

About

Maintained by Adithi R. UpadhyaFirst published 2020-06-261 releasesCRAN page ↗GitHub ↗

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 visualisation 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, visualising 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.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("mmaqshiny", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("meenakshi-kushwaha/mmaqshiny")

Development version from meenakshi-kushwaha/mmaqshiny. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-mmaqshiny

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-mmaqshiny

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-mmaqshiny

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

3NOTE10OK

Failing flavors

NOTE r-devel-linux-x86_64-debian-gcc
NOTE r-devel-linux-x86_64-fedora-clang
NOTE r-devel-linux-x86_64-fedora-gcc

Slowest check: 51 s · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

Dependencies · direct

Check history

NOTE2026-06-09
11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
10 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-10
9 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: not tracked
Return-value docs: 0%
References docs: 0%

Downloads

3.1K

CRAN downloads in the past year

Rank #15,948 · ~8/day · ~258/mo

Releases R versions

Daily download trend is not available in this view yet.

17730 days

66790 days

3.1K1 year

Compare downloads with other packages →

Also on161 r2u4 autocran

Repository

GitHub ↗ meenakshi-kushwaha/mmaqshiny

5Stars

3Forks

1Open issues

0Open PRs

0Releases

241Commits

4Contributors

241 commits · Last activity 2022-05-10

Stars over time

2022-11-24 · 52026-07-07 · 5

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/meenakshi-kushwaha/mmaqshiny on 2026-07-31.

Continuous integration (1)

GitHub Actions

Research and citation (1)

JOSS paper

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

20 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (16)

htmltools Cairo xts lubridate zoo caTools ggplot2 data.table DT dplyr leaflet stringr shiny XML shinyjs plotly

LinkingTo (0)

none

Suggests (4)

testthat devtools usethis shinytest

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)

Maintainer (1)

Adithi R. Upadhya

Author, Maintainer, Copyright holder

Authors (2)

Adithi R. Upadhya

Author, Maintainer, Copyright holder

Meenakshi Kushwaha

Author, Copyright holder

Contributors (1)

Sreekanth Vakacherla

aui, Contributor

Adithi R. Upadhya

Author, Maintainer, Copyright holder

Meenakshi Kushwaha

Author, Copyright holder

Other (1)

Pratyush Agrawal

Data contributor

Package Timeline

1 release. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
1.0.0Latest
2026-03-10 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2020-06-26
Total releases: 1 / 6 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5.0
Download size: 4.7 MB
Installed size: not tracked yet
With dependencies: not tracked yet

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