https://github.com/openvironment/Rpollution

R functions to work with air pollution data
https://github.com/openvironment/Rpollution

Last synced: 3 months ago
JSON representation

R functions to work with air pollution data

• Host: GitHub
• URL: https://github.com/openvironment/Rpollution
• Owner: openvironment
• License: mit
• Created: 2018-02-05T22:10:06.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2021-04-15T01:32:12.000Z (over 3 years ago)
• Last Synced: 2024-04-26T01:25:28.941Z (7 months ago)
• Language: HTML
• Size: 84 KB
• Stars: 7
• Watchers: 3
• Forks: 5
• Open Issues: 2
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE

Awesome Lists containing this project

• open-sustainable-technology - Rpollution - The goal of Rpollution is to assemble R functions to analyze air pollution data. (Natural Resources / Air Quality)

README

        
---

output: github_document

---

```{r, echo = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  message = FALSE

)

library(Rpollution)

```

# Rpollution 

The goal of `Rpollution` is to assemble R functions to analyse air pollution data.

## Installation

You can install `Rpollution` from github with:

```{r gh-installation, eval = FALSE}

# install.packages("remotes")

remotes::install_github("openvironment/Rpollution")

```

## CETESB scraper

To scrape data from the CETESB qualar system, use the function `scraper_cetesb()`.

```{r example, eval = FALSE}

library(Rpollution)

scraper_cetesb(

  parameter = 63, 

  station = 72, 

  start = "01/01/2018", 

  end = "31/01/2018", 

  login = "login", 

  password = "password"

)

```

To see a list of parameter and station IDs, use the objects `cetesb_param_ids` and `cetesb_station_ids`.

```{r}

cetesb_param_ids

```

```{r}

cetesb_station_ids

```

If you substitute the values `login` and `password` by your login and password from the Qualar system, this example will return the hourly NO concentrations from the Pinheiros station for January 2018.