Skip to content
Change the repository type filter

All

    Repositories list

    • A Python package for modelling human perception of street view images using CLIP features and the K-nearest-neighbour algorithm.
      Python
      GNU General Public License v3.0
      1101Updated Dec 23, 2024Dec 23, 2024
    • Preprocessing and filtering volunteered street view imagery for the human perception survey project
      Python
      GNU General Public License v3.0
      1000Updated Dec 21, 2024Dec 21, 2024
    • K-Nearest-Neighbour model of Percept-generated data
      Python
      GNU General Public License v3.0
      0000Updated Dec 12, 2024Dec 12, 2024
    • percept

      Public
      Homepage of the human perception and street view imagery project
      GNU General Public License v3.0
      0610Updated Dec 12, 2024Dec 12, 2024
    • Backend to human perception survey project
      JavaScript
      GNU General Public License v3.0
      1000Updated Nov 4, 2024Nov 4, 2024
    • Frontend to human perception survey project
      JavaScript
      GNU General Public License v3.0
      1000Updated Nov 4, 2024Nov 4, 2024
    • Built environment influence on commute mode choice in a global south megacity context: Insights from explainable machine learning approach
      Jupyter Notebook
      GNU General Public License v3.0
      1100Updated Feb 29, 2024Feb 29, 2024
    • 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
      R
      MIT License
      64151Updated Nov 14, 2023Nov 14, 2023
    • This GitHub repository presents a scalable and reproducible framework for utilising Mapillary data in greenness visibility modelling.
      Jupyter Notebook
      31311Updated Sep 12, 2023Sep 12, 2023
    • .github

      Public
      0000Updated Aug 27, 2023Aug 27, 2023
    • 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
      Jupyter Notebook
      MIT License
      11140Updated Aug 27, 2023Aug 27, 2023
    • Mapping Tree Visibility in the Netherlands using a viewshed based spatial model
      Jupyter Notebook
      0200Updated Aug 13, 2023Aug 13, 2023
    • Modelling Greenspace accessibility in a reproducible and scalable method in Python
      Jupyter Notebook
      2100Updated May 26, 2023May 26, 2023
    • Modeling the built environmental and cycling flow relations using machine learning approaches
      Jupyter Notebook
      1100Updated Mar 28, 2023Mar 28, 2023
    • 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)
      Jupyter Notebook
      5000Updated Feb 26, 2023Feb 26, 2023
    • Demystifying normalized difference vegetation index (NDVI) for greenness exposure assessments and policy interventions in urban greening
      Jupyter Notebook
      2000Updated Jan 2, 2023Jan 2, 2023
    • Jupyter Notebook
      2100Updated Sep 22, 2022Sep 22, 2022