Exploring large language models for human mobility prediction under public events

Y Liang, Y Liu, X Wang, Z Zhao - Computers, Environment and Urban …, 2024 - Elsevier
Public events, such as concerts and sports games, can be major attractors for large crowds,
leading to irregular surges in travel demand. Accurate human mobility prediction for public …

BB-GeoGPT: A framework for learning a large language model for geographic information science

Y Zhang, Z Wang, Z He, J Li, G Mai, J Lin, C Wei… - Information Processing …, 2024 - Elsevier
Large language models (LLMs) exhibit impressive capabilities across diverse tasks in
natural language processing. Nevertheless, challenges arise such as large model …

Mapping with chatgpt

R Tao, J Xu - ISPRS International Journal of Geo-Information, 2023 - mdpi.com
The emergence and rapid advancement of large language models (LLMs), represented by
OpenAI's Generative Pre-trained Transformer (GPT), has brought up new opportunities …

When Geoscience Meets Foundation Models: Toward a general geoscience artificial intelligence system

H Zhang, JJ Xu, HW Cui, L Li, Y Yang… - … and Remote Sensing …, 2024 - ieeexplore.ieee.org
Artificial intelligence (AI) has significantly advanced Earth sciences, yet its full potential in to
comprehensively modeling Earth's complex dynamics remains unrealized. Geoscience …

Urban foundation models: A survey

W Zhang, J Han, Z Xu, H Ni, H Liu… - Proceedings of the 30th …, 2024 - dl.acm.org
Machine learning techniques are now integral to the advancement of intelligent urban
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …

GeoGPT: understanding and processing geospatial tasks through an autonomous GPT

Y Zhang, C Wei, S Wu, Z He, W Yu - arXiv preprint arXiv:2307.07930, 2023 - arxiv.org
Decision-makers in GIS need to combine a series of spatial algorithms and operations to
solve geospatial tasks. For example, in the task of facility siting, the Buffer tool is usually first …

Correctness Comparison of ChatGPT‐4, Gemini, Claude‐3, and Copilot for Spatial Tasks

HH Hochmair, L Juhász, T Kemp - Transactions in GIS, 2024 - Wiley Online Library
Generative AI including large language models (LLMs) has recently gained significant
interest in the geoscience community through its versatile task‐solving capabilities including …

Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models

W Zhang, J Han, Z Xu, H Ni, H Liu, H Xiong - arXiv preprint arXiv …, 2024 - arxiv.org
Machine learning techniques are now integral to the advancement of intelligent urban
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …

[HTML][HTML] ChatGeoAI: Enabling Geospatial Analysis for Public through Natural Language, with Large Language Models

A Mansourian, R Oucheikh - ISPRS International Journal of Geo …, 2024 - mdpi.com
Large Language Models (LLMs) such as GPT, BART, and Gemini stand at the forefront of
Generative Artificial Intelligence, showcasing remarkable prowess in natural language …

A GPT-enhanced framework on knowledge extraction and reuse for geographic analysis models in Google Earth Engine

J Liang, A Zhao, S Hou, F Jin, H Wu - International Journal of …, 2024 - Taylor & Francis
Geographic analysis models are becoming increasingly important in the era of geospatial
big data. As a cloud platform that combines massive geospatial data resources with powerful …