# Paper: GeoJSON Agents:A Multi-Agent LLM Architecture for Geospatial Analysis-Function Calling vs Code Generation

---
type: paper
title: "GeoJSON Agents:A Multi-Agent LLM Architecture for Geospatial Analysis-Function Calling vs Code Generation"
authors: Qianqian Luo, Qingming Lin, Liuchang Xu, Sensen Wu, Ruichen Mao, Chao Wang, Hailin Feng, Bo Huang, et al.
year: 2025
venue: arXiv
url: https://arxiv.org/abs/2509.08863
code_url:
source: arxiv
collected_at: 2026-07-08
published_at: 2025-09-10
updated_at: 2025-12-03
status: queued
relevance: high
topics:
  - agent-evaluation
  - multi-agent
  - planning
  - tool-use
  - workflow-agent
methods:
  -
benchmarks:
  -
models:
  -
datasets:
  - cs.SE
related_concepts:
  -
related_jobs:
  -
related_experiments:
  -
related_projects:
  -
collection_score: 16
collection_queries: function-calling
---

## One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

## Why Collected

- matched queries: function-calling
- inferred topics: agent-evaluation, multi-agent, planning, tool-use, workflow-agent
- arXiv categories: cs.SE
- collection score: 16

## Review Checklist

- Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
- Does it include a benchmark, dataset, code, or reproducible experimental setup?
- Should it be promoted from `queued` to `skimmed` or `summarized`?

## Links

- arXiv: https://arxiv.org/abs/2509.08863
