Al Karama Urban Digital Twin

🌏 Unified Viewers

3D Digital Twin

Interactive 3D viewer with buildings, shade simulation, thermal analysis, mobility networks, and POIs with time-of-day controls

deck.gl 3D — 13 layers

OSM · Mapillary · Landsat · Sentinel-2

2D Printable Viewer

Unified Leaflet map with togglable layers: street centrality, pedestrian comfort, heat priority, combined SVI, satellite grid, clusters, green access. Exportable as SVG and PDF

Leaflet 2D — 7 layers

Mapillary · Landsat · Sentinel-2 · OSM

📷 Image Galleries

Individual street view locations with GVI values and image popups

Segmentation Gallery

Sample segmentation images showing high vs low vegetation detection

📁 Data Files

All data served from docs/data/al_karama/

Area Manifestarea.json

Buildings (GEE heights)buildings.geojson

Tree Canopycanopy.geojson

Street Networkstreets.geojson

Points of Interestpois.json

Combined SVI + Satellitecombined_svi.json

Satellite Grid (30m)satellite_grid.json

Heat Priority Pointspriority_points.json

Segment Comfortsegment_comfort.json

Climate Clustersclusters.json

Distance to Greendistance_to_green.json

Street Shade Coveragestreet_shade.csv

Street Metricsstreet_metrics.json

Shadow Projectionsshadows/ (7 time slots)

🔗 Network Analysis

Method Comparison

Interactive comparison of 5 network metrics: Betweenness, Angular Choice, Integration. Includes glossary and recommendations.

Main comparison

OD-Weighted Betweenness

Pedestrian flows based on actual land use - where people go FROM (hotels, offices) TO (shops, restaurants)

Land use weighted

Space Syntax (Angular)

Angular Choice and Integration - paths that minimize turns, how people naturally navigate

Transit Isochrones

Walking accessibility from metro and bus stations - 5, 10, 15 minute walking distances

3 Metro + 3 Bus

Boundary Comparison

Compare how street centrality changes between strict Al Karama boundary and expanded bounding box - betweenness, closeness, integration, degree

📚 Documentation

Learning Report

Detailed explanation of methods, formulas, and how each analysis works

How to use the 3D and 2D viewers, keyboard shortcuts, layer reference, and troubleshooting

Shortcuts & controls

Python Code Guide

Jupyter notebook with sample code for each analysis and required libraries