5 papers
GEE-OPs: An Operator Knowledge Base for Geospatial Code Generation on the Google Earth Engine Platform Powered by Large Language Models
Shuyang Hou, Jianyuan Liang, Anqi Zhao +1
As the scale and complexity of spatiotemporal data continue to grow rapidly, the use of geospatial modeling on the Google Earth Engine (GEE) platform presents dual challenges: impr…
Chain-of-Programming (CoP) : Empowering Large Language Models for Geospatial Code Generation
Shuyang Hou, Haoyue Jiao, Zhangxiao Shen +5
With the rapid growth of interdisciplinary demands for geospatial modeling and the rise of large language models (LLMs), geospatial code generation technology has seen significant…
Geo-FuB: A Method for Constructing an Operator-Function Knowledge Base for Geospatial Code Generation Tasks Using Large Language Models
Shuyang Hou, Anqi Zhao, Jianyuan Liang +2
The rise of spatiotemporal data and the need for efficient geospatial modeling have spurred interest in automating these tasks with large language models (LLMs). However, general L…
GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks
Shuyang Hou, Zhangxiao Shen, Anqi Zhao +5
The increasing demand for spatiotemporal data and modeling tasks in geosciences has made geospatial code generation technology a critical factor in enhancing productivity. Although…
Can Large Language Models Generate Geospatial Code?
Shuyang Hou, Zhangxiao Shen, Jianyuan Liang +4
With the growing demand for spatiotemporal data processing and geospatial modeling, automating geospatial code generation has become essential for productivity. Large language mode…