Advancing geospatial research and data science

This project is intended to get the GIS team to set aside a three-week period (cumulative) to extensively focus on a new, open access and novel GIS/Remote Sensing/Urban data science dataset to produce high-quality GCRO products (e.g. Journal articles, visualisations, vignettes etc.) at the end of the period.

The purpose of the project is threefold: 1) focus on the 'low-hanging fruits' and produce quality research over the short time period; 2) explore new data visualisation and advanced modelling techniques (simulations, forecasting, etc.); 3) a space for upskilling, training opportunities and sharing of scientific outputs to build local and international partnerships and organisational profiles. This last point would include sharing code amongst colleagues and collaborators, sharing analytical methodologies, arranging symposiums for the sharing of research and creating an urban data science skills wish list for pursuit during international study tours.

Outputs

Naidoo, L., Ballard, R., Naidoo, Y., Maree, G., Khanyile, S., Palacios Lopez, D. and Esch, T. (2023). Unveiling housing disparities: Leveraging Earth Observation and population data to estimate building volume per person Gauteng. Map of the Month. Gauteng City-Region Observatory. July 2023. https://doi.org/10.36634/MFZU7642.

Laven Naidoo (July 2023), 'Unveiling housing disparities: leveraging earth observation and population data to estimate building volume per person in the Gauteng City Region', Presentation. UFS-HSRC Brown bag sessions: Chair on City Region Economies, 17 July 2023.

Laven Naidoo (September 2023), 'Masterclass on the GCRO's urban data science portfolio and a tutorial on using Google Earth Engine for automated surface water detection', Presentation and Masterclass. Wits-Edinburgh Sustainable African Futures (WESAF) Programme Orientation Week, 6 September 2023.

Last updated: 14 December 2023