FABRIS-ROTELLI, Inger (Prof.)
Institution:
University of Pretoria
Department/Unit:
Statistics
Country:
South Africa
Qualifications:
Phd Mathematical Sciences
PhD Institution:
University of Pretoria
PhD country:
South Africa
PhD dissertation title:
Discrete pulse transform of images and applications
Current research interests and projects:

Spatial Statistics, Image Processing, Remote Sensing, machine learning

Selected publication 1:
Jacob Modiba, Inger Fabris-Rotelli, Alfred Stein, Gregory Breetzke, Linear hotspot detection for a point pattern in the vicinity of a linear network, Spatial Statistics, (online) August 2022.
Selected publication 2:
Arminn Potgieter, Inger Fabris-Rotelli, G Breetzke, C Wright, The association between weather and crime in a township setting in South Africa, International Journal of Biometeorology, January 2022 https://doi.org/10.1007/s00484-022-02242-0
Selected publication 3:
Inger Fabris-Rotelli, Jenny Holloway, Zaid Kimmie, Sally Archibald, Pravesh Debba, Raeesa Manjoo-Docrat, Alize le Roux, Nontembeko Dudeni-Tlhone, Charl Janse van Rensburg, Renate Thiede, Nada Abdelatif, Arminn Potgieter, Sibusisiwe Makhanya, A Spatial SEIR Model for COVID-19 in South Africa, Journal of Data Science, Statistics and Visualisation, accepted January 2022.
Selected publication 4:
A Potgieter, Inger Fabris-Rotelli, Z Kimmie, N Dudeni-Tlhone, J Holloway, C Janse Van Rensburg, R Thiede, P Debba, R Manjoo-Docrat, N Abdelatif, S Makhanya, Modelling representative population mobility for COVID-19 spatial transmission in South Africa, Frontiers in Big Data, section Medicine and Public Health, volume 4, article 718351, published 22 October 2021.
Selected publication 5:
R Kirsten and I Fabris-Rotelli (2021), A generic test for the similarity of spatial data, South African Statistical Journal, 55(1), pages 55-71.
Selected publication 6:
M de Lancey, I Fabris-Rotelli (2020), Ht-index for empirical evaluation of the sampled graph-based Discrete Pulse Transform, South African Computer Journal, 32(2).
Selected publication 7:
I Fabris-Rotelli, H Reynolds, A Stein, T Loots (2020), Spatial sampling for a rabies vaccination schedule in rural villages, Environmental and Ecological Statistics, 27(4).
Selected publication 8:
I Fabris-Rotelli and A Stein (2020), Use of fractals to measure anisotropy in point patterns extracted with the DPT of an image, Spatial Statistics, doi: 10.1016/j.spasta.2020.100452
Selected publication 9:
R. N. Thiede, I. N. Fabris-Rotelli, A. Stein, P. Debba & M. Li (2020) Uncertainty quantification for the extraction of informal roads from remote sensing images of South Africa, South African Geographical Journal, 102(2), 249–272, DOI: 10.1080/03736245.2019.1685404.
Selected publication 10:
Inger Fabris-Rotelli, Abraham Wannenburg, Gao Maribe, Renate Thiede, Marie Vogel, Mila Coetzee, Kutloano Sethaelo, Ephent Selahle, Pravesh Debba, Victoria Rautenbach, an informal road detection neural network for societal impact in developing countries, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022.
Capstone assignment title:
A portfolio arrangement between the supervisor(s) and the doctoral student in the field of Statistics
Capstone assignment abstract:

This project aims to set up a portfolio to use as guidance for a supervisor(s) and the doctoral candidate using the concepts and outcomes of this DIES/CREST course, while adding the necessary adaptions to Mathematical Sciences, specifically Statistics.