yutik-nn / ohw19-project-co_locators

Co-locate oceanographic data by establishing constraints

Project Co-Locators

Run:

Run ERDDAP colocate in Binder:

Run colocate-dev.ipynb in Binder:

Installation:

git clone https://github.com/oceanhackweek/ohw19-project-co_locators.git
cd ohw19-project-co_locators
conda env create -f environment.yml
conda activate colocators-ohw19
python setup.py install

Run via command line:

erddap-co-locate

Run in Jupyter notebook:

jupyter notebook &

Run with voila:

voila colocate.ipynb --enable_nbextensions=True --VoilaConfiguration.file_whitelist="['.*']"

Collaborators on this project

Mathew Biddle
Sophie Chu
Yeray Santana Falcon
Molly James
Pedro Magaña
Jazlyn Natalie
Laura Gomez Navarro
Shikhar Rai
Micah Wengren

Team Co-Locators:

The problem

Co-locate oceanographic data by establishing constraints.

Application example

A user is interested in all the available oceanographic data in a region where an eddy just formed. They provide the geospatial bounds of the region and a temporal range and get an aggregated response of all available data.

Specific tasks

• Collect temporal bounds.
• Collect spatial bounds.
• Collect keywords?
• Build query url.
• Do the search.
• Evaluate the response.
• Manage response.
• Geospatial plotting.
• Temporal plotting.
• Link back to dataset on erddap server.
• Aggregated download?

Existing methods

• The Irish Marine Institute has developed a keyword search across existing ERDDAP servers
  • Here is the list of all ERDDAP's they use.
• OHW18 built a search interface for one ERDDAP server
• yodapy: https://github.com/cormorack/yodapy

Proposed methods/tools

• Jupyter
• Python
  • erddapy
  • Pandas?
• ?

Background reading

Optional: links to manuscripts or technical documents for more in-depth analysis.