This is a R toolkit and developer version package to estimate multidimensional aspects of greenness and nature exposure, such as availability, accessibility and visibility using various geospatial data and models
Developing a modelling system to quantify features of land use in urban environments, UK based
iOS survey app for greenspace research using Apple's ResearchKit Framework
Term project for the course Spatial Statistics and Spatial Machine learning.
Repository for exam project of Spatial analytics course 2021 at Aarhus University. Project name: 'Happiness and green urban spaces: how green is happiness?' The project was done by Ruta Slivkaite and Bianka Szöllősi.
Automatization of Indicator Development for Green Space Health Research in QGIS
Exploratory analysis and report on open space in North Lawndale neighborhood of Chicago.
Project to investigate and develop spatial data-driven Geo-AI models (Convolutional Neural Network) to identify urban greenspace from Satellite images by integrating multiple data sources (e.g. vector data of urban parks)
GWR model analysing the relationship between access to greenspace and deprivation in Bradford
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