https://github.com/smithsonian/gbif-dataset-explorer

R Package to explore datasets from the biodivesity aggregator GBIF. Digitization Program Office, OCIO
https://github.com/smithsonian/gbif-dataset-explorer

biodiversity-informatics data-issues gbif gbif-data occurrence shiny shiny-r

Last synced: 2 months ago
JSON representation

R Package to explore datasets from the biodivesity aggregator GBIF. Digitization Program Office, OCIO

• Host: GitHub
• URL: https://github.com/smithsonian/gbif-dataset-explorer
• Owner: Smithsonian
• Created: 2020-04-29T17:04:40.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2023-03-20T18:10:12.000Z (about 2 years ago)
• Last Synced: 2025-01-30T13:36:52.817Z (3 months ago)
• Topics: biodiversity-informatics, data-issues, gbif, gbif-data, occurrence, shiny, shiny-r
• Language: R
• Homepage:
• Size: 756 KB
• Stars: 1
• Watchers: 6
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# GBIF-Dataset-Explorer (gde)

R Package to explore datasets from the biodivesity aggregator GBIF.

Once a DwC dataset is loaded, you can explore the issues and data values using a Shiny UI. 

![Screenshot of the Shiny app](inst/gde-screenshot-thumb.png?raw=true "Screenshot of the Shiny app")

## Load data from a DwC download

1. Install the package from CRAN: `install.packages("gde")`

1. Download a DarwinCore zip file from GBIF

1. Run the function `gde::load_gbif_dwc(zipfile = "000000.zip", tmpdir = "tmp")`, editing the arguments as needed

This step might take a while, depending on the size of the download and the specs of your computer.

## Run the app locally

After loading the data to the database, run the Shiny app using:

1. Run using: `gde::launchApp()`