cccharts is an R package to plot climate change indicator data for
British Columbia. It is essentially a wrapper on top of ggplot2 code.
The package was developed and used to generate supporting data visualizations for a set of climate change indicators published on Environmental Reporting BC in 2017.
The package is not available on CRAN, but can be installed from GitHub using the devtools package:
# install.packages("devtools")
devtools::install_github("bcgov/cccharts")
cccharts produces three types of plots:
- Color-coded point (or bar chart) estimates with upper and lower
confidence intervals (if available) (
plot_estimates). - Color-coded maps of B.C. with the estimates for Ecoprovinces or
Stations (
map_estimates). - Raw data with estimated trend lines (
plot_fit).
Examples of the three types of plots are presented below.
To get more information on the arguments that a function takes type for
example ?plot_estimates.
The three base functions return ggplot objects which can be modified
prior to plotting. The higher level wrappers plot_estimates_pngs,
map_estimates_pngs etc automatically save the plots to png files in a
subdirectory of the folder cccharts in the working directory. They
also return a list of the ggplot objects in case the users wishes to
manipulate them further.
The default color scheme is a diverging BrBG Brewer
palette. The
user can override the color scheme for the plot_estimates or
map_estimates functions by setting the low, mid, and high
arguments. To switch to a sequential color scheme simply set mid = NULL. To make all points the same color (and suppress a color legend)
simply set low and high at the same value.
ccchartspulls climate change indicator data from the BC Data
Catalogue.
The source data sets are licensed under the Open Government License -
British
Columbia.
Type data() to see the available datasets or for example type ?snow
for more information on the snow data.
library(cccharts)
#> Loading required package: ggplot2
plot_estimates(data = cccharts::sea_surface_temperature_station, x = "Season", facet = "Station")
map_estimates(data = cccharts::sea_level_station, station = TRUE, bounds = c(0.1,0.7,0,0.55))
#> Warning in seq.default(.limits[1], .limits[2], length = guide$nbin):
#> partial argument match of 'length' to 'length.out'
plot_fit(data = dplyr::filter(cccharts::flow_station_discharge, Term == "Medium", Statistic == "Mean", Season == "Annual"), observed = cccharts::flow_station_discharge_observed, free_y = TRUE, facet = "Station")
To generate the plot files (creates a folder in the working directory
called cccharts).
library(cccharts)
demo("cccharts", ask = FALSE)
To report bugs/issues/feature requests, please file an issue.
If you would like to contribute to the package, please see our CONTRIBUTING guidelines.
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.
Copyright 2016 Province of British Columbia
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
This repository is maintained by Environmental Reporting BC. Click here for a complete list of our repositories on GitHub.