knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "README-" )
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:
plot_estimates
).map_estimates
).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
.
ggplot
ObjectsThe 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.
cccharts
pulls 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) 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))
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.
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