Engineering a scalable and interactive web tool for JRO data exploration using Python's bokeh library

This thesis reports the development of new Python code for transitioning from the old interactive Jicamarca Radio Observatory (JRO) Mesospheric Winds webpage to a more user-friendly and scalable version. The original script was reliant on outdated Javascript, HTML, and Python and is difficult to scale. The new server, implemented entirely through Bokeh, a Python library, was developed as a solution to the hierarchical complexity of the required tasks. The procedures engineered in the development will be presented, as well as challenges, solutions, drawbacks, and future implementation strategies. By the project’s end, we were able to create a beta version of a new, simplified web page that can reliably display the same prevalent data from before and a modular coding setup that is easier to modify and scale. We also compare the previous implementation with the newly designed web page and explain how future users may build upon this work for developing display and exploration tools for other radar data sets from Jicamarca and elsewhere.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2022

Author dc:creator

• Khan, Abdullah S

Contributors dc:contributor

• Kudeki, Erhan

• Engineering

Statement dc:rights

• Copyright 2021 Abdullah Khan

Language dc:language

en, eng

Handle dc:identifier

http://hdl.handle.net/2142/113816

OAI record oai:identifier

https://www.ideals.illinois.edu/oai-pmh?verb=GetRecord&metadataPrefix=etdms&identifier=oai%3Awww.ideals.illinois.edu%3A2142%2F113816