index.Rmd

---
title: "Nordic Oikos 2018 -- workshop on GBIF data and R"
author: "Dag Endresen, https://orcid.org/0000-0002-2352-5497"
date: "February 18-19, 2018"
output:
  html_document:
    keep_md: false
---

![](../demo_data/NSO_2018_GBIF_NO.png "NSO 2018")


# Session 3: Download occurrence data from GBIF in R

This session presents programmatic access to GBIF data using R with focus on the [rOpenSci](https://ropensci.org/) [rgbif-package](https://github.com/ropensci/rgbif). We will also explore the [taxize](https://ropensci.org/tutorials/taxize_tutorial/) R-package for handling taxon names.

* Introduction to [rgbif](https://github.com/ropensci/rgbif) ([tutorial](https://ropensci.org/tutorials/rgbif_tutorial/))
* Filtering using data terms (and spatial geometry)
* Taxon names / resolving (using [taxize](https://ropensci.org/tutorials/taxize_tutorial/)). [What is "nubkey”?](http://gbif.blogspot.no/search?q=names&max-results=20&by-date=true)
* Asynchron download (see also [GBIF API](https://www.gbif.org/developer/summary))

***

## Workshop training materials

 * [Programmatic access to GBIF data in R with rgbif](gbif_demo.html), ([R-script](gbif_demo.Rmd))
 * [Asynchron download](3.x_async_download_gbif.html), ([R-script](3.x_async_download_gbif.Rmd))
 * Filtering using data terms and spatial geometry (to be added)
 * [Example data quality tests](data_quality.html), ([R-script](data_quality.Rmd))
 * Taxon names information (to be added)
 * [Slides](./slides)
 


***

Navigate back to [GitHub.io project home](https://gbif-europe.github.io/nordic_oikos_2018_r/) 
or [GitHub project source code](https://github.com/GBIF-Europe/nordic_oikos_2018_r)
pages.

***