Using Jupyter Notebooks for viewing and analyzing geospatial data: Two examples for emotional maps and educational data

This research presents two applications developed using Jupyter Notebook in the Google Colab, combining several Python libraries that enable an interactive environment to query, manipulate, analyse, and visualise spatial data. The first application is from an educational context within the MAPFOR project, aiming to elaborate an interactive map of the spatial distributions of teachers with higher education degrees or pedagogical complementation per vacancies in higher education courses. The Jupyter solutions were applied in MAPFOR to better communicate within the research team, mainly in the development area. The second application is a framework to analyse and visualise collaborative emotional mapping data in urban mobility, where the emotions were collected and represented through emojis. The computational notebook was applied in this emotional mapping to enable the interaction of users, without a SQL background, with spatial data stored in a database through widgets to analyse and visualise emotional spatial data. We developed these different contexts in a Jupyter Notebook to practice the FAIR principles, promote the Open Science movement, and Open Geospatial Resources. Finally, we aim to demonstrate the potential of using a mix of open geospatial technologies for generating solutions that disseminate geographic information.

Authors and Affiliations – Gabriele Silveira Camara Federal University of Parana, Brasil. Graduate Program in Geodetic Science. Silvana Philippi Camboim Federal University of Parana, Brasil. Graduate Program in Geodetic Science. João Vitor Meza Bravo Federal University of Uberlandia, Brasil. Institute of Geography, Graduate Program in Geography and Graduate Program in Agriculture and Geospatial Information.

Requirements for the Attendees – https://github.com/GabrieleCamara/emotional_maps/blob/master/visualizer_emotional_maps.ipynb https://github.com/GabrieleCamara/Mapfor/blob/main/maps_mapfor.ipynb

Track – Academic

Topic – Open and Reproducible Science

Level – 2 - Basic. General basic knowledge is required.

Language of the Presentation – English