A JavaScript library for creating thematic maps and visualizing geospatial data on the web.
Bertin.js is a JavaScript library for drawing thematic maps and visualizing geospatial data in web browsers. It simplifies the process of creating complex map visualizations by providing a layer-based API that mimics traditional GIS software, allowing developers to combine various map types and components seamlessly.
Web developers, data visualization specialists, and cartographers who need to create interactive, publication-quality thematic maps for the web without relying on heavy GIS software.
Bertin.js stands out by offering a straightforward, declarative API built on D3.js, making it easier to produce sophisticated thematic maps with less code. Its layer-based design and extensive built-in map types reduce the complexity typically associated with custom geospatial visualizations.
A package to draw maps in javascript
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Mimics GIS software by allowing stacking of multiple map layers (e.g., choropleth, bubble, graticule) in a defined hierarchy, reducing code complexity for complex visualizations.
Supports numerous thematic map styles out-of-the-box, including choropleths, typology maps, proportional symbols, dot density, and cartograms, as shown in the extensive examples.
Designed for seamless use in Observable notebooks and Quarto documents, enabling reproducible research and data journalism with geospatial data.
Integrates with D3.js projections, offering custom options like 'Polar' or 'Spilhaus', and supports globe views for certain layer types.
The update() function allows modification of specific map elements (e.g., fill, stroke) without redrawing the entire map, optimizing performance for interactive tweaks.
The README explicitly states the project is under active development with features subject to change, leading to potential breaking updates and instability.
Requires loading D3.js separately, adding setup complexity and bundle size overhead compared to self-contained mapping libraries.
Some parameters, like 'demers' for square layers, are labeled as experimental, indicating limited testing and possible bugs in advanced use cases.
Rendering complex maps with many layers or large GeoJSON datasets may suffer from performance issues due to SVG-based drawing, especially in interactive web apps.