Code and datasets for paper "K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization" in WSDM-2024
-
Updated
Jun 5, 2024 - Python
Code and datasets for paper "K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization" in WSDM-2024
A Python package for using Artificial Intelligence (AI) with geospatial data
A collection of papers related to Geo-spatial Information Science in NeurIPS 2024.
A collection of Jupyter notebook examples for using GeoAI
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.
This repo contains reports obtained from GeoAI development performed by The Directorate of Thematic Survey and Mapping of ATR/BPN
Evaluation of the quality of LLM geo knowledge
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)
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.
The 3rd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data (GeoSearch)
Your phone, often idling, can help heal the Earth. It’s a nerve ending, sensing the world and connecting through blockchain—a secure, decentralized diary—while AI helps it collaborate globally to solve challenges. Like trees in a forest, every device works together to protect our planet. Earth’s awareness—powered by you.
In this repository, I will share exercises and resources that have enriched my learning journey towards my dream job. I'll include coding scripts and exercises I've worked on and learned from, both in geospatial data science and other related fields.
Project to investigate and develop spatial data-driven Geo-AI models (Convolutional Neural Network) to identify urban greenspace from Satellite images by integrating multiple data sources (e.g. vector data of urban parks)
As a graduate in Geographic Information Systems (GIS) from Damietta University, I am eager to apply my technical and analytical skills in a professional environment. I aim to contribute to organizational goals and further develop my expertise in GIS.
IL Duzeyinde COVID-19 olgu ve aşı sayısı
Add a description, image, and links to the geoai topic page so that developers can more easily learn about it.
To associate your repository with the geoai topic, visit your repo's landing page and select "manage topics."