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GeoAI: Artificial Intelligence for Geospatial Data
Code and datasets for paper "K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization" in WSDM-2024
Transform geospatial relations into graph representations designed for spatial analysis and Graph Neural Networks (GNNs).
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.
OrthoSeg makes it easy to train neural networks to segment orthophotos.
A project template for spatial data science projects marrying best practices from the respective disciplines of Geography and Artificial Intelligence.
A collection of papers related to Geo-spatial Information Science in CVPR 2025.
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
