antv-l7

Compose interactive geospatial visualizations with AntV L7.

4.0k|658|Updated Nov 21, 2018
One-click install
npx skills add https://github.com/antvis/L7 --skill antv-l7
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: antv-l7
Source: https://github.com/antvis/L7/tree/main/skills
Command: npx skills add https://github.com/antvis/L7 --skill antv-l7

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables developers to rapidly assemble interactive geospatial visualizations using the AntV L7 library, simplifying the process of turning geographic data into engaging maps and dashboards.

Core Features & Use Cases

  • Core workflow: scene initialization, data sources, layer composition, visual mapping, and user interactions for web-based geospatial apps.
  • Data handling: supports GeoJSON, CSV, JSON sources, and large-scale tiled data via MVT/raster tiles for scalable visualization.
  • Visuals & interactions: supports color and size mapping, choropleth styles, tooltips, popups, and layer animations for analytics and dashboards.
  • Use Case: create a city-scale dashboard that combines point, line, and polygon layers with filters and contextual popups to analyze traffic, land use, and demographics.

Quick Start

Quick Start: Begin by reading the SKILL.md frontmatter for overview, then load references/core/scene.md to learn scene initialization, and progressively explore references/layers/point.md, references/layers/line.md, and references/interaction/popup.md to build a complete visualization workflow.

Frequently Asked Questions about antv-l7

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build interactive geospatial visualizations with WebGL for a web dashboard?

To build interactive geospatial visualizations, initialize a scene, load data sources like GeoJSON or CSV, and compose point, line, and polygon layers with tooltips and popups for web dashboards.

Does AntV L7 support handling large-scale vector tiles and raster data?

Yes, AntV L7 supports large-scale tiled data via MVT and raster tiles, enabling scalable visualization of massive geographic datasets alongside standard GeoJSON, CSV, and JSON sources.

What is the best way to create a city-scale map dashboard for traffic and demographics?

The best way to create a city-scale map dashboard is by combining point, line, and polygon layers with visual color and size mapping, contextual popups, and filters to analyze traffic, land use, and demographics.

Can I apply choropleth styles and layer animations to geographic data in a web UI?

Yes, you can apply choropleth styles, color and size visual mapping, and layer animations to geographic data, providing interactive analytics and enhanced visual feedback in a web UI.

How do I set up scene initialization and data sources for GIS mapping?

To set up GIS mapping, you start with scene initialization, define your data sources, and progressively compose layers to establish a complete visualization workflow for your geographic data.