geopandas
Analyze Geospatial Data with GeoPandas
Geospatial work often fails when file formats, coordinate systems, and spatial operations are unclear. This skill provides GeoPandas patterns for loading, transforming, analyzing, and mapping vector data.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "geopandas" from https://skillstore.io/skills/davila7-geopandas.md and its manifest at https://skillstore.io/api/skills/davila7-geopandas/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "geopandas". A user asks how to calculate areas for county polygons stored in WGS 84.
Expected outcome:
The response explains why geographic CRS area is inaccurate, recommends an equal-area projection, and outlines a clean export workflow.
Using "geopandas". A user needs to find stores within five kilometers of highways.
Expected outcome:
The response proposes CRS alignment, projected buffering, spatial joins, distance checks, validation, and export steps.
Using "geopandas". A user wants an interactive population choropleth map.
Expected outcome:
The response describes column selection, classification, legend configuration, tooltip fields, and HTML export with GeoPandas mapping tools.
Security Audit
SafeThe static findings are false positives from documentation examples, Markdown fences, sample package installation commands, and GeoPandas geometry properties. No prompt injection, data exfiltration intent, hidden execution, or malicious system reconnaissance was found.
Risk Factors
🌐 Network access (2)
⚙️ External commands (26)
Share & cite this report
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
Copy report link
https://skillstore.io/skills/davila7-geopandas/audits/9?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
[](https://skillstore.io/skills/davila7-geopandas?utm_source=security_passport_badge)HTML badge
<a href="https://skillstore.io/skills/davila7-geopandas?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/davila7-geopandas/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/davila7-geopandas.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
davila7. (2026). geopandas security audit report (audit version 9) [Author version unspecified]. Skillstore. https://skillstore.io/skills/davila7-geopandas/audits/9BibTeX citation
@techreport{davila7-davila7-geopandas-2026,
author = {davila7},
title = {geopandas security audit report (audit version 9)},
institution = {Skillstore},
year = {2026},
number = {9},
url = {https://skillstore.io/skills/davila7-geopandas/audits/9},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "geopandas security audit report (audit version 9)"
version: "unspecified"
type: report
authors:
- name: "davila7"
date-released: "2026-07-23"
url: "https://skillstore.io/skills/davila7-geopandas/audits/9"
identifiers:
- type: other
value: "skillstore:davila7-geopandas:audit:9"
description: "Skillstore immutable audit report identifier"
Compare variants
2 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
davila7-geopandas
2026-08-21
k-dense-ai-geopandas
2026-08-21
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Prepare municipal GIS data
Load parcels, roads, and boundaries, align CRS values, join layers, and export clean GeoPackage results.
Build spatial data pipelines
Choose efficient formats, filter reads, use PostGIS, and apply spatial indexing for repeatable Python workflows.
Create analytical maps
Generate choropleth, interactive, and projected maps that communicate spatial patterns clearly.
Try These Prompts
Show me how to read a GeoJSON file, check the CRS, and save a GeoPackage with GeoPandas.
Help me compare two GeoDataFrames, detect CRS mismatches, reproject them, and explain when to use set_crs.
Design a GeoPandas workflow that joins points to polygons, aggregates values, and validates geometries before export.
Review my large vector-data workflow and recommend filtered reads, spatial indexing, Arrow I/O, and simplification strategies.
Best Practices
- Check CRS before every spatial join, overlay, distance, or area operation.
- Use projected CRS values for measurements and geographic CRS values mainly for display.
- Filter large datasets during reading and use modern formats such as GeoPackage or Parquet.
Avoid
- Do not calculate area or distance directly in latitude and longitude degrees.
- Do not merge from a pandas DataFrame when geometry must remain in a GeoDataFrame.
- Do not simplify analysis geometries without considering topology and precision requirements.
Frequently Asked Questions
What data formats does this skill cover?
Can it help with coordinate reference systems?
Does it support map creation?
Does it execute Python code automatically?
Can it read from databases?
Is it useful for raster GIS work?
Developer Details
Author
davila7License
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Ref
c43861a65bb95efcae259cd161c9d6f4dc7eec6f
Maintenance freshness
7/24/2026
Usage
5 downloads · 479 views
File structure