Geoenrich online (beta)
A beta version of the GeoEnrich web app is available for basic uses. For more advanced uses, a self-hosted version is available as a docker image.
1. File format
Only DarwinCore archives and csv files are supported. The csv files must follow the following format requirements.
Warning
CSV separators must be commas. A common mistake (caused by a well-known proprietary spreadsheet software) is that separators in the csv files are semicolons instead of commas. If you’re having a mysterious error message when using geoenrich, please double-check this.
1.1. Species occurrences
The following columns are mandatory: a unique ID, an occurrence date, its latitude and longitude. They must be named respectively id, date, latitude and longitude. Here is an exemple of such a file:
id |
latitude |
longitude |
date |
Comments |
|---|---|---|---|---|
turtle1 |
-28.752241 |
154.8926541 |
2018-07-29 |
bottom feeding |
turtle2 |
2.5754611 |
72.964164 |
2019-02-13 |
cruising |
turtle3 |
-21.2871554 |
55.316446 |
2021-01-05 |
resting |
Download sample csv file webapp_turtles.csv (right click -> Save As).
1.2. Areas
A unique ID is mandatory, as well as the bounds of the areas that are requested. Columns must be named as in the following example:
id |
latitude_min |
latitude_max |
longitude_min |
longitude_max |
date_min |
date_max |
|---|---|---|---|---|---|---|
corsica |
41.2 |
43.2 |
8.3 |
9.7 |
2015-06-01 |
2015-06-30 |
galapagos |
-1.5 |
0.79 |
-91.9 |
-89 |
2022-03-18 |
2022-03-18 |
samoa |
-14.1 |
-13.3 |
-172.9 |
-171.3 |
2018-11-21 |
2018-11-28 |
Download sample csv file webapp_areas.csv (right click -> Save As).
2. Restrictions
For more features, you may install geoenrich (python or R) onto your computer and this will enable the following features:
Support for csv files with custom column names.
Support for calculated variables (Eddy Kinetic Energy and derivatives).
No maximum download size.
3. Setting up the self-hosted version
You may use GeoEnrich and its associated webapp locally by loading a Docker container.
To do this you can download docker-compose.yml and Dockerfile, and load the container the following way:
docker-compose up -d --build
You can then use geoenrich from the command line:
docker exec -it geoenrich python
Or launch the web app in a browser:
localhost:8080