This thesis looks at emerging uses of geospatial data for analysing the urban environment. As high-dimensional data becomes increasingly available, sophisticated spatial and temporal statistical estimation strategies can assess the minutia of environmental processes in a dynamic urban context. Each essay focuses on the improved measurement of high-resolution non-market environmental amenities and evaluating them using observed impacts on house prices or transportation networks. While valuation techniques for each amenity vary depending on context, these works all highlight a set of spatial methodologies for detailed urban analytics with a particular focus on urban greenery, seismic and flood risk, and pollution mitigation.
This PhD Dissertation was presented by Jacob Lawrence Macdonald as part of the requirements for the Degree of Doctor of Philosophy in Economics and Finance. You can access the paper here.
Nova SBE Msc & PhD Alumnus | Research Data Scientist at Geographic Data Science LabWebsite
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