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

A collection of papers related to Geo-spatial Information Science in NeurIPS 2024.

A collection of Jupyter notebook examples for using GeoAI

AISdb Python package for smart AIS data storage and itegration.

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.

Template for performing GeoAI retail analysis using ArcGIS and Machine Learning.

An improved Python Geographical Random Forest model

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.

This repo contains reports obtained from GeoAI development performed by The Directorate of Thematic Survey and Mapping of ATR/BPN

Geospatial Mechanistic Interpretability of Large Language Models

Geo-knowledge-guided GPT models for disaster response

Evaluation of the quality of LLM geo knowledge

The image viewer is a simple-to-use Microsoft PowerBI visual for stepping through images.

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.

Codes and data for a published work "A method to evaluate task-specific importance of spatio-temporal units based on explainable artificial intelligence" (https://doi.org/10.1080/13658816.2020.1805116)