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MSc Coursework in Urban Analytics and Visualisation

This repository contains the projects I completed as part of my MSc Coursework in Urban Analytics and Visualisation at the University of Warwick.

Projects

The repository is divided into :

  1. Visualisation Project in R: This project focuses on creating compelling visualisations using R. It includes various scripts and datasets used for the visualisations.

    Visualisation of 2020 Australian Bushfires Impact

    • Utilised Fire Hotspot data released by NASA to visualise the impact of the devastating 2020 bushfires in Australia.
    • Chronicled the fires that persisted for over 240 days, causing significant loss of life, destruction of homes, and environmental damage.
    • Visualised the spatial distribution of bushfire hotspots state-wise and analysed the data to provide insights into the severity of the crisis.
    • Identified hotspots of high activity and assessed the geographic patterns of the bushfires.
    • Employed visualisations to help stakeholders gain a deeper understanding of the bushfire crisis.
    • Utilised tools such as R/R-Studio with libraries including ggplot2, maps, mapdata and oz for this project.

  2. Data Analysis in QGIS, R, and GeoDa: This project involves comprehensive data analysis using QGIS, R, and GeoDa. It includes scripts for data cleaning, analysis, and visualisation, as well as the datasets used.

    Inequality and Public Transport: The Case of East London

    • This group project aimed to assess the impact of improved public transport accessibility on inequality in East London.
    • Analysed public transport accessibility data (PTAL) in combination with socioeconomic indicators from the Indices of Multiple Deprivation.
    • The GIS analysis was performed in QGIS and GeoDa, whereas the statistical analysis was achieved in R.
    • The project discovered that public transport accessibility was positively associated with healthcare usage and had a connection with housing barriers.
    • The team observed a racial disparity in accessibility, with boroughs with predominantly white populations having better access.
    • The research suggests that further investigation is required using methods such as passenger surveys to understand who uses public transport and how it affects social equity.