English

GeoFlow: Agentic Workflow Automation for Geospatial Tasks

Artificial Intelligence 2025-08-08 v1 Machine Learning

Abstract

We present GeoFlow, a method that automatically generates agentic workflows for geospatial tasks. Unlike prior work that focuses on reasoning decomposition and leaves API selection implicit, our method provides each agent with detailed tool-calling objectives to guide geospatial API invocation at runtime. GeoFlow increases agentic success by 6.8% and reduces token usage by up to fourfold across major LLM families compared to state-of-the-art approaches.

Keywords

Cite

@article{arxiv.2508.04719,
  title  = {GeoFlow: Agentic Workflow Automation for Geospatial Tasks},
  author = {Amulya Bhattaram and Justin Chung and Stanley Chung and Ranit Gupta and Janani Ramamoorthy and Kartikeya Gullapalli and Diana Marculescu and Dimitrios Stamoulis},
  journal= {arXiv preprint arXiv:2508.04719},
  year   = {2025}
}

Comments

Accepted to ACM SIGSPATIAL 2025

R2 v1 2026-07-01T04:37:52.435Z