Air-Quality-Modeling

R Functions for processing Climo data.

Contact: Shrikanth Yadav yshrikanth@iisc.ac.in

Description

This repository contains functions for working on Climo Data that was collected outside the Robert Bosch Center, Indian Institute of Science.

There are two main data sets used

• August dataset: Carbon Monoxide concentration that is used only for working on weekly seasonality.
• September dataset: CO, wind direction, wind speed and temperature data.

Organisation

• The file AQM Functions Summary.md is a tutorial for the data processing functions. Use-cases are presented when necessary.
• The file main.md presents all the plots of the analysis on the sample data set. To perform the analysis on your own data set, you will have to run the main.Rmd using R.
• The Raw Sensor Data directory contains the main datasets.
• The TSA Cache Data directory functions as cache. Computations like seasonality and downsampling performed in the main function for unique averaging times will be saved here for future reference--to prevent recomputation. There are two types of .csv files-
  • The master data frames over which we perform the analysis. The xx in master_sep_xx.csv represents the averaging time in munitues.
  • The sesonality computed from the August dataset. The xx in sea_CO_aug_xx.csv represents the averaging time in munitues.
• The plots directory contains folders based on the plotting function name. Each subdirectory will store the respective plots in PNG and PDF formats.

Using the Tutorial

Performing Analysis with data

Function description

• The TSA Data Source.R contains functions that work on the cache data.
• The src directory contains the 2 classes of source files
  • TSA Source.R contains the data prcessing functions.
  • plotting_functions.R contains the plotting functions.

Required

• library(png)
• library(grid)
• library(highfrequency)
• library(quantreg)
• library(TTR)
• library(stats)
• library(lubridate)
• library(timeSeries)
• library(dplyr)
• library(ggplot2)
• library("gridExtra")
• library("cowplot")
• library(reshape2)
• library(scales)