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opensensmapr

This R package ingests data from the API of opensensemap.org for analysis in R.

Features include:

osem_boxes(): fetch sensor station ("box") metadata, with various filters
osem_measurements(): fetch measurements by phenomenon, with various filters such as submitting spatial extent, time range, sensor type, box, exposure..
- no time frame limitation through request paging!
many helper functions to help understand the queried data
caching queries for reproducibility

The package aims to be compatible with the tidyverse and sf, so it is easy to analyze or vizualize the data with state of the art packages.

Usage

Complete documentation is provided via the R help system: Each function's documentation can be viewed with ?<function-name>. A comprehensive overview of all functions is given in ?opensensmapr.

There are also vignettes showcasing applications of this package:

Visualising the History of openSenseMap.org: Showcase of opensensmapr with dplyr + ggplot2
Exploring the openSenseMap dataset: Showcase of included helper functions
Caching openSenseMap Data for reproducibility

If you used this package for an analysis and think it could serve as a good example or showcase, feel free to add a vignette to the package via a PR!

Installation

The package is available on CRAN, install it via

install.packages('opensensmapr')

To install the very latest versions from GitHub, run:

install.packages('devtools')
devtools::install_github('sensebox/opensensmapr@master')      # latest stable version
devtools::install_github('sensebox/opensensmapr@development') # bleeding edge version

Changelog

This project adheres to semantic versioning, for changes in recent versions please consult NEWS.md.

Contributing & Development

Contributions are very welcome! When submitting a patch, please follow the existing code stlye, and run R CMD check --no-vignettes . on the package. Where feasible, also add tests for the added / changed functionality in tests/testthat.

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.

development environment

To set up the development environment for testing and checking, all suggested packages should be installed. On linux, these require some system dependencies:

# install dependencies for sf (see https://github.com/r-spatial/sf#installing)
sudo dnf install gdal-devel proj-devel proj-epsg proj-nad geos-devel udunits2-devel

# install suggested packages
R -e "install.packages(c('maps', 'maptools', 'tibble', 'rgeos', 'sf',
    'knitr', 'rmarkdown', 'lubridate', 'units', 'jsonlite', 'ggplot2',
    'zoo', 'lintr', 'testthat', 'covr')"

build

To build the package, either use devtools::build() or run

R CMD build .

Next, run the tests and checks:

R CMD check --as-cran ../opensensmapr_*.tar.gz
# alternatively, if you're in a hurry:
R CMD check --no-vignettes ../opensensmapr_*.tar.gz

release

To create a release:

make sure you are on master branch
run the tests and checks as described above
bump the version in DESCRIPTION
update NEWS.md
rebuild the documentation: R -e 'devtools::document()'
build the package again with the new version: R CMD build . --no-build-vignettes
tag the commit with the new version: git tag v0.5.0
push changes: git push && git push --tags
wait for all CI tests to complete successfully (helps in the next step)
upload the new release to CRAN
get back to the enjoyable parts of your life & hope you won't get bad mail next week.

License

GPL-2.0 - Norwin Roosen

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