Advanced Data Analytics in Economics PS

 

Assignment #3   

 

In this assignment we will be downloading weather data from the website:

https://www1.ncdc.noaa.gov/pub/data/ghcn/daily/

 

  1. Create a function called “my_ghcnd_stations” that allow you to:
    1. Download and process the “ghcnd-stations.txt” and “ghcnd-inventory.txt” data files from the above webpage.
    2. Merge and process the two files to into a dataframe called “stations” that contains the same information as returned by the “rnoaa” package’s “ghcnd_stations” function.
    3. Allows the function user to specify a data directory in which to place the downloaded and processed data. If the user does not specify a directory, have the function create a sub-directory called “data” in the current working directory. Have the function automatically place the downloaded files in this directory as well as create and save the “stations” data.frame in a compressed .RData file called “stations.RData” in the specified directory.
    4. Have the function check whether the “stations.RData” is already in the specified folder and download and process the files only if the file “stations.RData” is not in the folder. If the file is in the folder, load the file.
    5. The function is to return the data.frame “stations” when the function is called.

 

  1. Create a function called “my_ghcnd” that returns a data.frame containing the same information returned by rnoaa’s function “ghcnd”. The function is to:
    1. Receives a station id character string ‘ZZZZ’, an optional sub-directory name ‘dirname’, and an argument ‘new=F’.
    2. Directly downloads and process the station’s “ZZZZ.dly” file from the webpage:

https://www1.ncdc.noaa.gov/pub/data/ghcn/daily/

  1. Allows the user to specify a data directory in which to place the downloaded and processed data. If the user does not specify a directory, have the function create a sub-directory called “downloads” in the current working directory.
  2. Have the function store the downloaded data in a data frame named ‘wdata’ and save the file ‘wdata’ in a compressed R data file called ‘ZZZZ.RData’ in the specified downloads directory. Also save the data’s download date (ddate = Sys.Date) in the ‘ZZZZ.Rdata’ file.
  3. If the function’s argument ‘new’ is F, have the function check whether the file ZZZZ.RData is already in the specified folder and download and process the weather station data only if the file ZZZZ.RData is not in the downloads folder. If the file is in the folder, load the file. If the argument ‘new’ is T, download, process, and store the file without checking to see if an old file exists
  4. The function is to return the data.frame ‘wdata’ when the function is called.

 

 

 

 

  1. Use the data in the “stations” data frame created in problem (1) to identify and plot (on a world map) the locations of any (not necessarily “current”) weather stations that first reported TMIN data prior to 1850.

 

  1. How many current weather stations (i.e. reported at least some temperature data in 2021) first reported data prior to 1875? Create a map of those locations.

 

  1. Find the ten long-term (reporting data from 1900-2021) weather stations that are closest to Ismay, Montana. In ascending distance order what are the stations’ names, stations’ states and stations’ distances from Ismay?

 

  1. Find the long-term (reporting data from 1900-2021) weather stations that are within 150 miles of Lima, Montana. In ascending distance order what are the stations’ names, stations’ states and stations’ distances from Lima?

 

  1. Download and process the data for the MONTANA STATE UNIV weather station in Bozeman (station id USC00241044). Using data from 1900 through 2020, prepare and print a data frame or table listing the 10% quantile, 25% quantile, median, 75% quantile, and the 90% quantile of TMIN and TMAX temperature values of each of the 12 calendar months in Bozeman.

 

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