Spatial Analysis
Spatial Analysis on Beyond Market Intelligence: a running collection of 2 stories we have gathered and hand-picked because they are worth your time. Every post here touches on spatial analysis in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around spatial analysis, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
![City2Graph: A Python library for Heterogeneous Graph Neural Networks and spatial analysis in urban systems [R]](https://preview.redd.it/4vi2d3zjt4jh1.png?width=140&height=75&auto=webp&s=449a7301e08aaa1e20ce77f1b29141f588abf034)
City2Graph: A Python library for Heterogeneous Graph Neural Networks and spatial analysis in urban systems [R]
Introducing City2Graph, a novel Python library designed to transform urban geospatial data into analysis-ready heterogeneous graphs. Recently published in *Computers, Environment and Urban Systems*, City2Graph streamlines workflows for spatial analysis and Graph Neural Networks, converting data from OpenStreetMap, Overture Maps, and GTFS feeds. It facilitates morphological, transport, mobility, and proximity analyses, offering seamless conversion between GeoDataFrames, NetworkX, and PyTorch Geometric.
How to Place Vertiport Locations in Any City Using Geospatial Machine Learning
Optimizing vertiport placement is critical for the successful rollout of urban air mobility. Our latest case study demonstrates a reproducible methodology for identifying ideal locations within any city, leveraging geospatial machine learning. Using Lagos, Nigeria as a practical example, we analyze population density, existing transport infrastructure, and crucial airspace constraints to pinpoint optimal sites. Discover how to transform urban planning with data-driven insights—a future-focused approach to integrating vertical takeoff and landing.