geopandas

combined

Guidance and local audit tools for Python workflows that directly use GeoPandas GeoSeries, GeoDataFrame, spatial operations, or vector-data I/O. A Python library for reading, writing, and analyzing geospatial vector data; use it when you need spatial operations (buffer/overlay/join), CRS reprojection, or map visualization on formats like Shapefile/GeoJSON/GeoPackage or PostGIS.

When to use

You need to **load and export vector geospatial data** (Shapefile, GeoJSON, GeoPackage, Parquet) and keep attributes + geometry together.
You want to run **geometric operations** such as buffer, simplify, centroid, convex hull, or distance/area calculations.
You need **spatial analysis** like spatial joins (intersects/within/nearest), overlay (intersection/union/difference), dissolve, or clipping.
You must **manage coordinate reference systems (CRS)**: inspect CRS, set missing CRS metadata, or reproject between EPSG codes.
You want to **visualize geospatial data** as static plots (matplotlib) or interactive maps (folium-backed `explore()`).

When not to use

Do not use this skill when the required source data, identifiers, files, or credentials are missing.
Do not use this skill when the user asks for fabricated results, unsupported claims, or out-of-scope conclusions.
Do not use this skill when a simpler direct answer is more appropriate than the documented workflow.

Skill page

Conflict

The four copies cover the same library but diverge on scope, version, and safety. K-Dense-AI is a strict, version-pinned (1.2.0) audit workflow with local CLI tools and a heavy privacy/safety contract. brycewang-stanford targets 1.1.3, includes PySAL/spatial statistics, and uses a decision-tree reference structure. foryourhealth111 and aipoch are general usage guides with standard installation and code examples. Because K-Dense's strict audit steps and brycewang's spatial statistics focus are material steps missing from the others, crowning one would hide real alternatives.