Spatial Data Science and Geo-Intelligence Lab's repositories
GreenExp_R
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
StreetView-NatureVisibility
This GitHub repository presents a scalable and reproducible framework for utilising Mapillary data in greenness visibility modelling.
GreenEx_Py
This is a python 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
2.5D-GreenViewIndex-Netherlands
Mapping Tree Visibility in the Netherlands using a viewshed based spatial model
Urban_Greenspace_Accessibility
Modelling Greenspace accessibility in a reproducible and scalable method in Python
cycling_counter_prediction
Modeling the built environmental and cycling flow relations using machine learning approaches
NDVI-dimist
Demystifying normalized difference vegetation index (NDVI) for greenness exposure assessments and policy interventions in urban greening
Park-NET-identifying-Urban-parks-using-multi-source-spatial-data-and-Geo-AI
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)
percept
Homepage of the human perception and street view imagery project
percept-frontend
Frontend to human perception survey project
BuiltEnvModeChoice
Built environment influence on commute mode choice in a global south megacity context: Insights from explainable machine learning approach
percept-backend
Backend to human perception survey project
percept-vsvi-filter
Preprocessing and filtering volunteered street view imagery for the human perception survey project