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Browsing by Supervisor "Fabris-Rotelli, Inger"
Now showing items 1-7 of 7
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(University of Pretoria, 2021-10)In this mini-dissertation we utilize population mobility data and COVID-19 case data in a variety of formats, from a variety of sources, in order to formulate a model for the spatial spread of COVID-19. The study region ...
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(University of Pretoria, 2023-11-20)autoESDA is a Python library developed with the aim of automating the Exploratory Spatial Data Analysis (ESDA) process. This is done by generating a HTML report made up of various ESDA graphs and statistics calculated ...
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(University of Pretoria, 2017)In this mini-dissertation the importance of having an automated object classification procedure for classifying nanoparticles in nanoscale images (or referred to as nanoimages in this mini-dissertation) is discussed, and ...
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(University of Pretoria, 2020)In the field of spatial statistics, window selection for point pattern data is a complex process. In some cases, the point pattern window is given a priori when a local phenomena is studied. In other cases, a researcher ...
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(University of Pretoria, 2017)In this mini-dissertation we briefly describe the context and development of spatial statistics, spatial sampling and point patterns. Thereafter spatial homogeneity is considered in detail. Before selecting an appropriate ...
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(University of Pretoria, 2018)There are various methods to efficiently denoise an image, one method is Principle Component Analysis (PCA). Classical PCA reduces the dimensionality of a dataset, transforming the original dataset to preserve only significant ...
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(University of Pretoria, 2023-12-07)In the era of social media, the analysis of Twitter data has become increasingly important for understanding the dynamics of online discourse. This research introduces a novel approach for tracking the spatial and temporal ...
Now showing items 1-7 of 7