Ask a geospatial question in plain language and get map layers, tables, reports and files back. A plugin-based GeoAI backend with a deterministic, reproducible planning path alongside an LLM-backed on
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資料Python · JavaScriptGitHub @arazshah上線中營運者未確認
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一分鐘完成驗證Plugin-based GeoAI system: natural-language questions become QuerySpecs, DAG plans and map layers, tables and PDF reports. Built on geochat-platform.
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Ask a geospatial question in plain language and get map layers, tables, reports and files back. s3geo.com — project site, plugin catalog and case-study index. Used in research: five case studies have been built on s3geo so far (Vienna, Tehran, İstanbul, Urmia, Cairo). Most compare an LLM-planned analysis against one written by hand on real OpenStreetMap data; the Cairo study is a pure-plugin raster pipeline (satellite NDVI change, no LLM arm) that found 8 defects fixed in 0.5.7. The İstanbul study is included in full in examples/istanbul_health_access/. See Case studies and papers.檢視完整 README ↗
目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
Ask a geospatial question in plain language and get map layers, tables, reports and files back. s3geo.com — project site, plugin catalog and case-study index. Used in research: five case studies have been built on s3geo so far (Vienna, Tehran, İstanbul, Urmia, Cairo). Most compare an LLM-planned analysis against one written by hand on real OpenStreetMap data; the Cairo study is a pure-plugin raster pipeline (satellite NDVI change, no LLM arm) that found 8 defects fixed in 0.5.7. The İstanbul study is included in full in examples/istanbul_health_access/. See Case studies and papers.檢視完整 README ↗