An Autonomous GIS Agent Framework for Geospatial Data Retrieval

Understand

Powered by the emerging large language models (LLMs), autonomous geographic information systems (GIS) agents have the potential to accomplish spatial analyses and cartographic tasks.

• However, a research gap exists to support fully autonomous GIS agents: how to enable agents to discover and download the necessary data for geospatial analyses.
• This study proposes an autonomous GIS agent framework capable of retrieving required geospatial data by generating, executing, and debugging programs.
• The framework utilizes the LLM as the decision-maker, selects the appropriate data source (s) from a pre-defined source list, and fetches the data from the chosen source.