readme.md

In maptopixel/WeatheR:

WeatheR package

Some R functions for wrangling Weather Underground, Met Office, Environment Agency rainfall data

The scripts process data from:

• UK MIDAS datasets, as retrieved from NERC BADC Web Processing Service

• Weather Underground, as retrieved from the WU API

• Environment Agency, as sourced from local EA offices as 15 minute rainfall measurements CVS

The functions are:

• loadAndJoinMidas.R - use for taking a shapefile of points and a table (e.g. CSV) of MIDAS data and creating a joined dataset of observations chosen based on MIDAS Quality Control parameters.

• loadAndJoinWU.R - use for taking a directory of CSVs (one CSV per station) of data produced by WU API and returning a data frame of the observations.

• processMidasQC.R - use for taking a table (e.g. CSV) of MIDAS and producing a table of 1 observation per interval (hourly or daily).

• getHistoryForLocationsWU.R - use for downloading and processing (aggregating) Weather Underground data. Data are downloaded (and cached) as JSON files and processed in the same step.

• getLocationsWU.R - creates a spatial dataset of personal weather station points from the WU API

• arealInterpolation.R - computes the weighted mean of polygon attribute values, where weighting is based on area contribution

The demo scripts are:

• demo_processMidasQC.R - use for testing and generating observations for one MIDAS station

• demo_rainfall_interpolate - use for demonstrating the processing of MIDAS and WU observations

maptopixel/WeatheR documentation built on May 21, 2019, 11:26 a.m.