The Rain Project: An R-based Open Source Analysis of Publicly Available Rainfall Data
[This article was first published on Nine Lives, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Rainfall data used by researchers in academia and industry does not always come in the same format. Data is often in atypical formats and in extremely large number of files and there is not always guidance on how to obtain, process and visualize the data. This project attempts to resolve this issue by serving as a hub for the processing of such publicly available rainfall data using R.
The goal of this project is to reformat rainfall data from their native format to a consistent format, suitable for use in data analysis. Within this project site, each dataset is intended to have its own wiki. Eventually, an R package would be developed for each data source.
Currently R code is available to process data from three sources – Climate Prediction Center (global coverage), US Historical Climatology Network (USA coverage) and APHRODITE (Asia/Eurasia and Middle East).
The project home page is here – http://rationshop.github.io/rain_r/
The project home page is here – http://rationshop.github.io/rain_r/
If you are aware of other sources and would like to add them to this list (and/or would like to add the R code) please let me know. Any other comments or help appreciated.
To leave a comment for the author, please follow the link and comment on their blog: Nine Lives.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.