Programmatic interface to the Berkeley Ecoinformatics Engine
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README.md

ecoengine

Project Status: Active – The project has reached a stable, usable state and is being actively developed. CRAN/GitHub 1.10.0_/1.10.99

R interface to the Berkeley Ecoinformatics Engine

Providing access to UC Berkeley's Natural History Data

This package provides a R wrapper for the newly available ecoinformatics engine from UC Berkeley. The API is very new and currently provides access to two types of data.

  • Georeferenced data from the Wieslander project
  • Data on > 2 million georeferenced Berkley museum specimens.

Package Status and Installation

AppVeyor Build Status Travis-CI Build Status codecov rstudio mirror downloads

Installation instructions

Stable Version

A stable version can be installed from the central CRAN repository

install.packages("ecoengine", dependencies = TRUE)

Development Version Install the package with devtools to obtain the latest development version.

# If you don't already have the devtools package installed, run
# install.packages("devtools")
# unlike most packages, devtools requires additional non-R dependencies depending on your OS.
# See → https://github.com/karthik/dlab-advanced-r/blob/master/installation.md#installation
library(devtools)
install_github('ropensci/ecoengine')

Usage

Documentation

A quick start guide is available both as markdown and a nicely formatted PDF or you can go through a set of slides from a recent talk.

Citation

To cite package ‘ecoengine’ in publications use:

  Karthik Ram (2014). ecoengine: Programmatic interface to the API
  serving UC Berkeley's Natural History Data. R package version 1.9.
  https://github.com/ropensci/ecoengine

A BibTeX entry for LaTeX users is

  @Manual{,
    title = {ecoengine: Programmatic interface to the API serving UC Berkeley's Natural History
Data},
    author = {Karthik Ram},
    year = {2014},
    note = {R package version 1.9},
    url = {https://github.com/ropensci/ecoengine},
  }

Resources

Bug reports, feature requests and suggestions (especially as pull requests) are most welcome.


This package is part of a richer suite called SPOCC Species Occurrence Data, along with several other packages, that provide access to occurrence records from multiple databases. We recommend using SPOCC as the primary R interface to ecoengine unless your needs are limited to this single source.


Code of Conduct

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.

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