Wagemann, J.; Fierli, F.; Mantovani, S.; Siemen, S.; Seeger, B. & Bendix, J. (2022): <b>Five Guiding Principles to Make Jupyter Notebooks Fit for Earth Observation Data Education</b>. <i>Remote Sensing</i> <b>14</b>(14), 3359.
Resource Description
Title:
Five Guiding Principles to Make Jupyter Notebooks Fit for Earth Observation Data Education
There is a growing demand to train Earth Observation (EO) data users in how to access<br/>
and use existing and upcoming data. A promising tool for data-related training is computational<br/>
notebooks, which are interactive web applications that combine text, code and computational output.<br/>
Here, we present the Learning Tool for Python (LTPy), which is a training course (based on Jupyter<br/>
notebooks) on atmospheric composition data. LTPy consists of more than 70 notebooks and has<br/>
taught over 1000 EO data users so far, whose feedback is overall positive. We adapted five guiding<br/>
principles from different fields (mainly scientific computing and Jupyter notebook research) to make<br/>
the Jupyter notebooks more educational and reusable. The Jupyter notebooks developed (i) follow<br/>
the literate programming paradigm by a text/code ratio of 3, (ii) use instructional design elements<br/>
to improve navigation and user experience, (iii) modularize functions to follow best practices for<br/>
scientific computing, (iv) leverage the wider Jupyter ecosystem to make content accessible and (v) aim<br/>
for being reproducible. We see two areas for future developments: first, to collect feedback and<br/>
evaluate whether the instructional design elements proposed meet their objective; and second, to<br/>
develop tools that automatize the implementation of best practices.
Keywords:
| Big Earth data | Jupyter Notebooks |
Literature type specific fields:
ARTICLE
Journal:
Remote Sensing
Volume:
14
Issue:
14
Page Range:
3359
Metadata Provider:
Individual:
Jörg Bendix
Contact:
email:
bendix <at> staff.uni-marburg.de
Deutschhausstraße 12
Room No. 02 A 48
35032 Marburg
Faculty of Geography
Germany
