- University of Côte d'Azur
- https://urbangeoanalytics.com/
- https://orcid.org/0000-0003-3003-0895
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Clustering-PCA-HCPC
Clustering-PCA-HCPC PublicPrincipal Component Analysis - Hierarchical Clustering on Principle Components on quantitative data
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CDPC---ICCSA-2024-Protocol
CDPC---ICCSA-2024-Protocol PublicRoad Continuity - Dwellings - Population - Catchment areas - ICCSA 2024
Jupyter Notebook 1
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Fine-Tuned-ChatGPT-Urban-Patterns
Fine-Tuned-ChatGPT-Urban-Patterns PublicFine tuned ChatGPT to assist urban practitioners in evaluating city images to determine if they meet the criteria for a human-centered, walkable 15-minute city.
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Online-blog-posts---codes-data
Online-blog-posts---codes-data Publicdata & codes related to https://urbangeoanalytics.com
R
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Population-Potential-on-Catchment-Area---PPCA-Worldwide
Population-Potential-on-Catchment-Area---PPCA-Worldwide Publicfour-step procedure for acquiring, processing, and analyzing geospatial data in order to evaluate population potentials within specified catchment areas.
Jupyter Notebook
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