The Observatorio Territorial Godoy Cruz — Nodos is an interactive web map built by the Secretaría de Ambiente y Desarrollo Sustentable of Godoy Cruz (Mendoza, Argentina). It visualises urban planning data—district node classification, walkability indices, cycling infrastructure, health facilities, education, commerce, environment, and more—as toggleable GeoJSON overlays on top of multiple base maps. The project is a plain HTML + vanilla JavaScript application powered by Leaflet.js. There is no build step or package manager: clone the repository, openDocumentation Index
Fetch the complete documentation index at: https://mintlify.com/Observatorio-GC/Nodos/llms.txt
Use this file to discover all available pages before exploring further.
index.html in a browser or serve it over HTTP, and the map is ready.
Introduction
Understand the project’s purpose, architecture, and the municipal context behind the data layers.
Quickstart
Get the map running locally in minutes and learn how to toggle layers in the browser.
Map Layers
Browse all 50+ thematic layers: urban structure, nodes, walkability, services, environment, and more.
Customisation
Add your own GeoJSON data, create custom icons, and write popup templates.
Controls & Tools
Learn the built-in measurement, print, and file-upload controls.
JavaScript API
Reference documentation for all popup functions, icon factories, and style helpers.
How the map works
Serve the project
Clone the repository and open
index.html directly in a browser, or serve it with any static HTTP server. No build step is required.Choose a base map
Select ESRI Satelital, Argenmap (IGN), or OpenTopoMap from the top-right layer control to change the background cartography.
Toggle thematic overlays
Expand any overlay group — Estructura Urbana, Nodos, Salud, Educación, etc. — and check the layers you want to inspect. Each layer loads its GeoJSON from a
scripts/ file.The live map is published at https://observatorio-gc.github.io/Nodos/ via GitHub Pages. Fork the repository to host your own instance or extend it with new data layers.