2026-10-12T07:46:14Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33653281 2026-09-12T08:18:54Z category_146 category_45 category_734 category_931 portal_87 item_type_3 month_year_09_2026

AutoGIS: an agent framework for automated geospatial data management and analysis Zhou Chen (1566265) Xinan Zhang (324499) Jiaxiang Li (5012060) Yuanhong Liao (359147) Zimeng Wang (1518193) Mingrun Zang (24133043) Juanzi Li (24824173) Yuqi Bai (1367568) Space Science Sociology Biological Sciences not elsewhere classified Information Systems not elsewhere classified Autonomous GIS large language models geospatial agents code generation QGIS-GPT <p>Geospatial analysis plays a critical role in urban governance, environmental monitoring, and disaster management, yet end-to-end automation remains constrained by fragmented data acquisition, complex operator coupling, and limited workflow reproducibility. We present AutoGIS, a contract-driven autonomous GIS agent framework that formulates geospatial analysis as a program synthesis problem governed by verifiable contracts and environmental feedback. AutoGIS comprises a data agent and a code agent. The data agent performs data-path-free discovery, acquisition, and processing through a Geospatial Asset Knowledge Graph (GAKG) and satisfaction gating, producing analysis-ready data and data contracts. The code agent conditions PyQGIS generation on these data contracts and algorithm contracts, and performs self-repair using stack traces and runtime logs. We further develop QGIS-GPT with a three-stage laddered alignment strategy to improve long-tail operator understanding and invocation. Experiments show that AutoGIS improves asset retrieval, task orchestration, algorithm understanding, code generation, and repair robustness across multi-source geospatial tasks. Case studies on buffer analysis, normalized difference vegetation index (NDVI) change analysis, and rule-based land-use classification demonstrate end-to-end intent-to-analysis capability, establishing a foundation for more reliable autonomous geospatial modeling.</p> 2026-09-12T08:18:54Z Dataset Dataset 10.6084/m9.figshare.33653281.v1 https://figshare.com/articles/dataset/AutoGIS_an_agent_framework_for_automated_geospatial_data_management_and_analysis/33653281 CC BY 4.0