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NSF-Polar-Cyberinfrastructure / datavis-hackathon

http://nsf-polar-cyberinfrastructure.github.io/datavis-hackathon
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Open-source Polar Data workflows with Tangelo-Hub #42

Open curtislisle opened 9 years ago

curtislisle commented 9 years ago

In this session, I will demonstrate Tangelo, a rapid prototyping web application framework with a small learning curve (http://tangelo.kitware.com/ and https://tangelo.readthedocs.org/en/v0.6.1/) useful for creating and hosting dataset visualizations through public websites.

After a short introduction to Tangelo, I will focus particularly on how to process polar datasets in Tangelo-Hub, a web-hosted, datascience workflow processing and analysis application funded by NSF's Biology division (https://github.com/tangelo-hub and http://www.arborworkflows.com).

Tangelo-Hub allows users to create and run multi-step workflows interactively through a web interface. Quick visualizations and dataset management are built in. Individual steps in a workflow can be implemented in the Python or R languages.

An example of a tangelo-hub workflow is shown below as it is viewed through a browser session:

screen shot 2014-09-18 at 10 04 14 pm

During this session, I will present a use case performed prior to the hackathon on one of the Polar Datasets using Tangelo-Hub. Participants will then be able to get hands on experience with a Tangelo-Hub instance to process datasets themselves during the session.

chrismattmann commented 9 years ago

Thanks for sending this out, @curtislisle. I'd be interested in maybe a tangelo workflow showing e.g., how to do the LIDAR stitching session in #4 and/or for the Univ. of Wisconsin data in #3

curtislisle commented 9 years ago

You read my mind. I was going to experiment with the AMRC dataset and use it as an example during the session. :-)

MBoustani commented 9 years ago

@curtislisle here is the wiki page for your session https://github.com/NSF-Polar-Cyberinfrastructure/issue-42/wiki

curtislisle commented 9 years ago

After continuing to squash out some bugs after the hackathon completed, we were able to construct a Tangelo-based application that renders MODIS imagery (thanks to Justin Paul-Peters of Indiana U) and reads AWS weather station information from a live database. Here is a screenshot of the prototype showing the cloud layer from MODIS, a set of static points of interest (tan circles), and the AWS weather station locations (blue stars):

screen shot 2014-11-16 at 9 55 22 am