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GIS Comprehensive Knowledge Base V1.0

Development Updated 2026.08.30

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About this skill

What problem it solves

GIS work often gets stuck between coordinate systems, format choices, software versions, quality acceptance, scripting, and hard-to-reproduce failures. GIS_SKILL_V1.0 organizes this scattered knowledge into a searchable knowledge base, helping engineers define data boundaries, tooling paths, and acceptance criteria before execution.

Core capabilities and workflow

  • Seven-stage workflow: requirements lock, data insight, plan generation, environment prep, execution, quality self-check, and archive, with logs and diagnostic reports at each step.
  • Standards and practice: covers GB/T, data production, quality inspection, acceptance, and delivery for domestic surveying and geographic information workflows.
  • Software and development: includes ArcGIS Pro, QGIS/PyQGIS, FME, PostGIS, WebGIS, Cesium, GEE, and point-cloud processing topics.
  • Pitfalls and retrieval: provides 160+ anti-patterns, keyword mappings, and version-difference guidance to reduce time spent on issues like ERROR 999999, map shifts, and topology errors.

Boundaries

This is a knowledge base and working protocol, not a substitute for testing in real software environments. Some standard clauses, advanced commercial features, and online services remain subject to official versions. When using dual-version files, verify the requested version and avoid mixing 3.6 and 3.7 content.

Use Cases

  • Unify coordinate systems by converting Beijing 54, Xi'an 80, CGCS2000, and WGS84 data and checking projection parameters.
  • Build PyQGIS scripts to batch-run Processing workflows for topology cleanup, reprojection, and output delivery.
  • Check DLG/DEM/DOM deliverables against GB/T quality rules, including attribute domains, topology errors, and sampling plans.
  • Prepare a WebGIS tile service by selecting COG/PMTiles and configuring GeoServer, caching, and CORS access.

Best For

  • GIS engineers who need to locate root causes for coordinate systems, projections, topology errors, and software failures.
  • Surveying quality inspectors who verify attribute domains, accuracy, topology, and sampling acceptance against GB/T standards.
  • Spatial data engineers who build batch and query workflows with PyQGIS, GeoPandas, and PostGIS.
  • WebGIS or 3D GIS developers who plan COG/PMTiles, Cesium, 3DTiles, and GeoServer services.