论文
International Journal of Geographical Information Science
PublisherJournal
GeoAI
中文标题
GEEToker:一种与模型无关的分词器,可提升大语言模型在 Google Earth Engine 中基于 JavaScript 的地理空间代码生成能力
English Title
GEEToker: you can boost LLMs’ JavaScript-based geospatial code generation for Google Earth Engine with a model-agnostic tokenizer
Shuyang Hou Haoyue Jiao Ziqi Liu Jianyuan Liang Lutong Xie Xuefeng Guan Zhipeng Gui Huayi Wu a State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, Chinab School of Resource and Environmental Sciences, Wuhan University, Wuhan, Chinac School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaShuyang Hou received his MS degree in Geographic Information Science from Wuhan University and is pursuing a PhD at the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University. His research interests include GeoAI and geospatial code generation. Contributions: Conceptualization, Methodology, Software, Formal analysis, Data curation, Visualization, Writing–original draft, Writing–review & editing.Haoyue Jiao is an undergraduate student in the School of Resource and Environmental Sciences, Wuhan University. Her research interests include map design and geospatial code generation. Contributions: Software, Visualization, Data curation, Validation, Writing–review & editing.Ziqi Liu received his MS degree in Computer Science from China University of Mining and Technology and is pursuing a PhD at the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University. His research interests include GeoAI and automated algorithms. Contributions: Validation, Software, Resources, Data curation, Writing–review & editing.Jianyuan Liang received his MS degree in Geographic Information Science from Eastern Michigan University and is currently a PhD candidate at the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University. His research focuses on geospatial services, geospatial modeling and generative artificial intelligence. Contributions: Validation, Software, Data curation, Writing–review & editing.Lutong Xie received his BS degree from Wuhan University and is pursuing an MS at the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University. His research interests include geospatial code generation and geospatial modeling. Contributions: Validation, Formal analysis, Data curation, Writing–review & editing.Xuefeng Guan received his PhD in Photogrammetry and Remote Sensing from Wuhan University. He is a Professor at the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University. His research interests include high-performance geospatial computing, distributed management and intelligent analysis of spatiotemporal big data. Contributions: Supervision, Project administration, Resources, Writing–review & editing.Zhipeng Gui received his PhD (2011) degrees from Wuhan University. He is a Professor and Vice Dean of the School of Remote Sensing and Information Engineering at Wuhan University. His research focuses on spatiotemporal data mining and geographic information system applications. Contributions: Supervision, Project administration, Resources, Writing–review & editing.Huayi Wu received his MS degree in Probability and Mathematical Statistics and his PhD in Photogrammetry and Remote Sensing from Wuhan University. He is a Professor at the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University. His research interests include high-performance geospatial computing, intelligent geospatial services, geospatial modeling and applications of deep learning and data mining. Contributions: Conceptualization, Supervision, Funding acquisition, Project administration, Writing–review & editing.
发布时间
2026/8/3 20:06:30
来源类型
journal
语言
en
摘要
.
元数据
来源International Journal of Geographical Information Science
类型论文
抽取状态raw
关键词
PublisherJournal
GeoAI