Geo-CLASS: Knowledge from Earth Engine Scripts
A pipeline that coordinates large and small language models to extract reusable geoprocessing modelling knowledge from crowdsourced Google Earth Engine scripts.
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Semantic-Driven Geospatial Modeling Knowledge Graph
Designs a geospatial modeling knowledge graph whose entities and relations are extracted with LLMs, supporting semantic retrieval and recommendation of modeling knowledge.
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GeoColab: Multi-Agent Collaboration for Geospatial Code
Coordinates role-specialised LLM agents in a collaborative workflow that decomposes, writes, reviews and refines geospatial code.
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GeoCogent: An LLM Agent for Geospatial Code Generation
An LLM-based agent that plans, retrieves geospatial knowledge, and generates and iteratively debugs code to complete geospatial programming tasks.
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GeoCode-GPT: A Large Language Model for Geospatial Code
Fine-tunes an open LLM on purpose-built geospatial code corpora for pretraining, instruction tuning and evaluation, giving a model specialised in generating geospatial code.
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Geo-FuB: Operator-Function Knowledge Base for Geospatial Code
Builds an operator-function knowledge base from Earth Engine scripts, linking operators to the functions they serve, and uses it as retrieval context for geospatial code generation …
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GEE-OPs: Operator Knowledge Base for Earth Engine Code
Mines operator call relationships from Earth Engine scripts with syntax-tree parsing and frequent-pattern analysis, forming a knowledge base that improves LLM code generation.
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GPT-Enhanced Knowledge Extraction for Earth Engine Models
A GPT-assisted workflow that extracts structured knowledge about geographic analysis models from Google Earth Engine scripts and reuses it to support model construction.
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