GeoAI: Artificial Intelligence for Geospatial Data
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Updated
Oct 20, 2025 - Python
GeoAI: Artificial Intelligence for Geospatial Data
Transform geospatial relations into graph representations designed for spatial network analysis and Graph Neural Networks (GNNs).
Code and datasets for paper "K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization" in WSDM-2024
🛰️ GeoAI.js is a javascript library for use with transformers.js to perform GeoAI on the frontend
A collection of Jupyter notebook examples for using GeoAI
A collection of papers related to Geo-spatial Information Science in NeurIPS 2024.
AISdb Python package for smart AIS data storage and itegration.
Arion is the first agentic AI desktop app for geospatial analysis, developed by GeoRetina Inc.
Train your own neural networks to segment orthophotos.
A collection of papers related to Geo-spatial Information Science in CVPR 2025.
A project template for spatial data science projects marrying best practices from the respective disciplines of Geography and Artificial Intelligence.
An improved Python Geographical Random Forest model
Template for performing GeoAI retail analysis using ArcGIS and Machine Learning.
NeuroTPR: a Neuro-net ToPonym Recognition model for extracting locations from social media messages
An Extensible and Unified Platform for Evaluating Geoparsers
We present a deep learning approach with GIS-based data augmentation that can automatically generate labeled training map images from shapefiles using GIS operations.
Geospatial Mechanistic Interpretability of Large Language Models
This repo contains reports obtained from GeoAI development performed by The Directorate of Thematic Survey and Mapping of ATR/BPN
A lightweight frontend app using transformers.js showcasing the use of semantic similarity for geospatial applications such as geosocial media. Building on Overturempas Places, dynamically loading data from a singe 9Gb flatgeobuf file.
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