R functions to read data files
Budget: $30 – $60 USD
I need two small R functions, which could take a large data file (a gridded climate reconstruction) and a list of coordinates in order to extract data from respective data file.
1.
One function should operate on this dataset (I need the function working on netCDF), https://www.ncei.noaa.gov/access/paleo-search/study/19419
It will have only two input: (a) name of the netCDF file, and (b) a dataframe with coordinates (lat-long) and site id’s.
Its output will be a dataframe with a set of chronologies originated from the gridpoints nearest to each of the sites. This output should be in “long” format, i.e. the dataframe should have the following columns: siteID, year, chronologyValue.
2.
Another function should operate on this dataset
https://www.ncei.noaa.gov/pub/data/paleo/historical/europe/pauling2006precip/
Here, please consider only files with *.gz extension. These are four files, one for each season.
The data is in text format and is available in four “flavors”: for different seasons within a year.
The input should be (a) a name of the file with data, and (b) a dataframe with coordinates (lat-long) and site id’s.
The structure of output is the same as for the first function.
I can provide a small example input file for interested candidates.
This is a time critical project, I would be happy to get the code by the end of the week (around Feb 12).
thank you.
1.
One function should operate on this dataset (I need the function working on netCDF), https://www.ncei.noaa.gov/access/paleo-search/study/19419
It will have only two input: (a) name of the netCDF file, and (b) a dataframe with coordinates (lat-long) and site id’s.
Its output will be a dataframe with a set of chronologies originated from the gridpoints nearest to each of the sites. This output should be in “long” format, i.e. the dataframe should have the following columns: siteID, year, chronologyValue.
2.
Another function should operate on this dataset
https://www.ncei.noaa.gov/pub/data/paleo/historical/europe/pauling2006precip/
Here, please consider only files with *.gz extension. These are four files, one for each season.
The data is in text format and is available in four “flavors”: for different seasons within a year.
The input should be (a) a name of the file with data, and (b) a dataframe with coordinates (lat-long) and site id’s.
The structure of output is the same as for the first function.
I can provide a small example input file for interested candidates.
This is a time critical project, I would be happy to get the code by the end of the week (around Feb 12).
thank you.