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#spatial-analysis

@tom_doerr: https://deck.gl maps raw data into stacks of visual layers, streamlining the creation of high-performance, interactive …

X AI KOLs Timeline · 2026-08-16 Cached

deck.gl is a GPU-powered framework that enables the creation of high-performance, interactive spatial visualizations for large datasets through composable visual layers.

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#spatial-analysis

City2Graph: A Python library for Heterogeneous Graph Neural Networks and spatial analysis in urban systems [R]

Reddit r/MachineLearning · 2026-08-13

City2Graph is a new Python library that converts geospatial data into heterogeneous graphs for spatial analysis and Graph Neural Networks, with a peer-reviewed paper published in Computers, Environment and Urban Systems. It supports morphological, transport, mobility, and proximity graph construction, integrating with PyTorch Geometric and other graph tools.

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#spatial-analysis

Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries

arXiv cs.CL · 2026-05-22 Cached

This paper presents a schema-grounded natural language interface for transportation safety analysis that uses a large language model to interpret user queries while preserving deterministic execution against an authoritative database. The framework is evaluated on a Massachusetts transportation safety database, successfully executing all queries and correcting errors in 29% of cases, demonstrating a practical approach to broadening access to safety data.

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#spatial-analysis

Fast and Effective Redistricting Optimization via Composite-Move Tabu Search

arXiv cs.AI · 2026-05-11 Cached

This paper introduces a composite-move Tabu search algorithm for spatial redistricting that improves solution quality and efficiency while preserving contiguity constraints.

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#spatial-analysis

PangeAI

Product Hunt · 2026-04-16

PangeAI is a product offering instant, agent-driven spatial analysis and decision-making capabilities.

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