视频中文末的论文与地址
LLMs – The Death of GIS Analysis?
https://kartai.no/wp-content/uploads/2024/01/Holm-2023-LLMs-The-Death-of-GIS-Analysis.pdf
Towards Understanding the Geospatial Skills of ChatGPT
https://dl.acm.org/doi/abs/10.1145/3615886.3627745
Utilizing Large Language Models in geographic contexts Experiences from the FIU GIS Center
https://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=1104&context=gis
GPT4GEO: How a Language Model Sees the World’s Geography
https://arxiv.org/pdf/2306.00020.pdf
GeoQAMap – Geographic Question Answering with Maps Leveraging LLM and Open Knowledge Base
https://drops.dagstuhl.de/storage/00lipics/lipics-vol277-giscience2023/LIPIcs.GIScience.2023.28/LIPIcs.GIScience.2023.28.pdf
Mapping with ChatGPT
https://doi.org/10.3390/ijgi12070284
Autonomous GIS: the next-generation AI-powered GIS
https://arxiv.org/abs/2305.06453
Geo-RAG: Gaining Insights from Unstructured Geological Documents with Large Language Models
geo-rag: Gaining Insights from Unstructured Geological Documents with Large Language Models
Large Language Models and Geospatial
https://ckoziol.com/blog/2023/llm_geospatial/
Is ChatGPT a Good Geospatial Data Analyst? Exploring the Integration of Natural Language into Structured Query Language within a Spatial Database
https://www.mdpi.com/2220-9964/13/1/26
Geo-Foundation Models: Reality, Gaps and Opportunities (Vision Paper)
https://dl.acm.org/doi/pdf/10.1145/3589132.3625616
GeoLocator: a location-integrated large multimodal model for inferring geo-privacy
https://arxiv.org/abs/2311.13018
Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition
https://arxiv.org/abs/2401.01482
GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT
https://arxiv.org/abs/2307.07930
A flood knowledge-constrained large language model interactable with GIS: enhancing public risk perception of floods
https://www.tandfonline.com/doi/full/10.1080/13658816.2024.2306167
ChatGPT as a mapping assistant: A novel method to enrich maps with generative AI and content derived from street-level photographs
https://doi.org/10.31223/X5HQ1P
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
https://arxiv.org/abs/2401.08406