Electro City Movements 🌍

🏖MINT COMING SOON /// 🗺️ Generative map-art /// ///📍50k locations /// 🌃 695 cities /// 🇺🇦🇹🇷 202 countries and regions /// By @YutaSATO_X

[Electro City Movements 🌍 @ECM_NFT]

#ElectroCityMovements is a project for your city!

Visit our website
https://t.co/12yYZZ8vrc
↓
Search your own country and city
🇵🇭🇯🇵🇺🇸🇩🇪🇸🇦🇸🇬🇰🇪
↓
Click on the electron on the map
🌆🌆
↓
You'll see how your city is electrified⚡️⚡️⚡️

[Nix0n @UnTalNixon_exe]

🏙️ De mapas a vectores: Cómo la IA está empezando a entender las ciudades

El software de mapas tradicional (GIS) es excelente para visualizar, pero limitado cuando intentas aplicar modelos de aprendizaje profundo para predecir flujos urbanos, optimizar el transporte o analizar la morfología de una ciudad.

La librería de código abierto city2graph construye un puente directo entre los datos geoespaciales y la Inteligencia Artificial Geográfica (GeoAI). Transforma geometrías complejas en grafos relacionales listos para entrenar Redes Neuronales de Grafos (GNNs).

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🧱 La infraestructura técnica detrás del proyecto:

• Modelado Morfológico: Permite conectar variables del entorno urbano (edificios, calles, zonas de uso de suelo) y convertirlos en nodos con atributos enriquecidos de proximidad y adyacencia.

• Ingesta de Transporte Eficiente: Integra consultas SQL optimizadas mediante DuckDB para procesar feeds de transporte público (GTFS), facilitando el análisis de accesibilidad y el modelado de redes multimodales en segundos.

• Análisis Dinámico de Movilidad: Traduce matrices de origen-destino (como flujos de bicicletas compartidas, peatones o migraciones internas) directamente en redes de flujo humano legibles por modelos predictivos.

• Ecosistema Unificado: Funciona de forma nativa como una interfaz integrada entre GeoPandas (análisis espacial), NetworkX (análisis de redes tradicionales) y PyTorch Geometric (Deep Learning).

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Al final, las ciudades no son solo imágenes o coordenadas aisladas; son redes vivas de interconexiones complejas. Llevar esa complejidad al formato exacto que entienden los tensores de IA es el primer paso para diseñar entornos urbanos realmente inteligentes.

Dejo el enlace al repositorio oficial en la sección de comentarios.

Guarda este post en tus marcadores si trabajas con datos espaciales, grafos o machine learning aplicado al mundo real 🔖

[Tom Dörr @tom_doerr]

Converts geospatial datasets into graphs for network analysis

https://t.co/RIOUtJB8St

[Bert Temme @berttemme]

GTFS Transportation Network Analysis with City2Graph https://t.co/AVbYpgPTt0

[Tom Dörr @tom_doerr]

Converts geospatial datasets into GNN-ready graphs

https://t.co/RIOUtJB8St

[Ryohei Sasaki@engineer @rsasaki0109]

City2Graph: GeoAI with Graph Neural Networks (GNNs) and Spatial Network Analysis

- Graph Construction for GeoAI: Build graphs from diverse urban datasets, including buildings, streets, and land use, to power GeoAI and GNN applications.
- Transportation Network Modeling: Query GTFS feeds through DuckDB and construct detailed transit graphs for accessibility and service analysis.
- Proximity and Contiguity Analysis: Create graphs based on spatial proximity and adjacency, including multi-center distance filtering and layered isochrones.
- Mobility Flow Analysis: Model and analyze urban mobility patterns from various data sources like bike-sharing, migration, and pedestrian flows.
- PyTorch Geometric Integration: Seamlessly convert geospatial data into PyTorch tensors for GNNs.

[Md Ismail Šojal 🕷️ @0x0SojalSec]

Transform geospatial data to graphs, Neural Networks, and network analysis.

Build street networks, POI proximity graphs, mobility flows, heterogeneous urban graphs, and feed them straight into Graph Neural Networks.

Perfect for urban AI, transportation modeling, and spatial intelligence.

- https://t.co/ipqy0777PT

[Tom Dörr @tom_doerr]

Converts geospatial data to graphs

https://t.co/RIOUtJB8St

[いとう @Smille_feuille]

City2Graphという地理空間データをグラフ化するツールを試してるけど、めちゃくちゃ面白いです。しかもツール作者は日本人👏
例えば東京駅と大阪駅周辺の都市形態を分析すると、ある程度似た構図に見えつつ、東京は道路優位／大阪は建物優位という違いがありそう。他の機能や解釈の仕方も学びたい。

[Ryohei Sasaki@engineer @rsasaki0109]

City2Graph: GeoAI with Graph Neural Networks (GNNs) and Spatial Network Analysis
https://t.co/fU5Iuh36yz
-Graph Construction for GeoAI: Build graphs from diverse urban datasets, including buildings, streets, and land use, to power GeoAI and GNN applications.
-Transportation Network Modeling: Query GTFS feeds through DuckDB and construct detailed transit graphs for accessibility and service analysis.
-Proximity and Contiguity Analysis: Create graphs based on spatial proximity and adjacency, including multi-center distance filtering and layered isochrones.
-Mobility Flow Analysis: Model and analyze urban mobility patterns from various data sources like bike-sharing, migration, and pedestrian flows.
-PyTorch Geometric Integration: Seamlessly convert geospatial data into PyTorch tensors for GNNs.

[Python Hub @PythonHub]

City2Graph

Transform geospatial relations into graphs for Graph Neural Networks and network analysis.

https://t.co/UTy3yerM0V

[Milos @milos_gis]

🚨NEW Python package🚨
city2graph is a Python library that converts datasets like buildings, streets, transport networks, and mobility flows into Graph Neural Networks (GNNs). https://t.co/DvskhYPoD3 🧵

[Electro City Movements 🌍 @ECM_NFT]

#ElectroCityMovements is preparing for 50,000 NFTs all over the world. You can find your own electrons from this website → https://t.co/MnpuZUfqJl

Movements #049144 Monaco, Monaco, Monaco 🇲🇨
#creativecoding #generativeart #genartclub #GeoGuessr #nftartwork #nftartgallery

[Electro City Movements 🌍 @ECM_NFT]

Movements #024811 Budapest, Budapest, Hungary 🇭🇺
#creativecoding #ElectroCityMovements

[Electro City Movements 🌍 @ECM_NFT]

Bayside is always beautiful. No matter where it is (mostly).

Movements #012652 Dawes Point, Sydney, Australia 🇦🇺
#creativecoding #generativeart #genart #genartclub #GeoGuessr #nftartwork #nftartgallery

[Electro City Movements 🌍 @ECM_NFT]

Heaven or haven?

Movements #049913 George Town, Cayman Islands, Cayman Islands 🇰🇾
#creativecoding #generativeart #genart #genartclub #GeoGuessr #nftartwork #nftartgallery #NFTProjects

[Electro City Movements 🌍 @ECM_NFT]

Electrons are waiting for you. In your country, in your city!

Movements #024052 Warsaw, Warsaw, Poland 🇵🇱
#creativecoding #generativeart #genart #genartclub #GeoGuessr #nftartwork #nftartgallery

[Electro City Movements 🌍 @ECM_NFT]

Beautiful city along the Rhine River.

Movements #046336 Basel, Basel, Switzerland🇨🇭
#creativecoding #generativeart #genart #genartclub #GeoGuessr #NFTartists #nftartwork #nftartgallery

[Electro City Movements 🌍 @ECM_NFT]

@hotweirdstuff @TokyoAlphaHQ Nope English!

[Electro City Movements 🌍 @ECM_NFT]

See the history of cities in there.

Movements #040791 Gion-shijo, Kyoto, Japan 🇯🇵
#creativecoding #generativeart #genart #genartclub #GeoGuessr #nftartwork #nftartgallery

[Electro City Movements 🌍 @ECM_NFT]

A view from the Space Needle (maybe).

Movements #038865 Belltown, Seattle, United States 🇺🇸
#creativecoding #generativeart #genart #genartclub #GeoGuessr #nftartwork #nftartgallery #NFTs #Seattle