New Zealand’s National Climate Database, CliFlo CliFlo holds data from about 6500 climate stations, with observations dating back to 1850. CliFlo returns raw data at ten minute, hourly, and daily frequencies. CliFlo also returns statistical summaries, inclusive of about eighty different types of monthly and annual statistics and six types of thirty−year normals.
The clifro package is designed to minimise the hassle in downloading data from CliFlo. It does this by providing functions for the user to log in, easily choose the appropriate datatypes and stations, and then query the database. Once the data have been downloaded, they are stored as specific objects in R with the primary aim to ensure data visualisation and exploration is done with minimal effort and maximum efficiency.
This package extends the functionality of CliFlo by returning stations resulting from simultaneous searches, the ability to visualise where these climate stations are by exporting to KML files, and elegant plotting of the climate data. The vignettes and help files are written with the intention that even inexperienced R users can use clifro easily. Exporting the climate data from R is fairly easy and for more experienced useRs, automated updating of spreadsheets or databases can be made much easier.
A current CliFlo subscription is recommended for clifro, otherwise data from only one station is available. The subscription is free and lasts for 2 years or 2,000,000 rows without renewal, which enables access to around 6,500 climate stations around New Zealand and the Pacific.
Note this package requires internet access for connecting to the National Climate Database web portal.
# Install the latest CRAN release install.packages("clifro") # Or the latest development version if(!require(devtools)) install.packages("devtools") devtools::install_github("ropensci/clifro") # Then load the package library(clifro)
The following small example shows some of the core functionality in clifro.
We can search for climate stations anywhere in New Zealand and return the station information in the form of a KML file. For example, we can return all the climate stations (current and historic) in the greater Auckland region.
all.auckland.st = cf_find_station("Auckland", search = "region", status = "all") cf_save_kml(all.auckland.st, "all_auckland_stations")