jVectorMap – Interactive Vector Maps

jVectorMap is a JavaScript library for adding interactive, vector-based maps to websites. It supports map-based data visualization, interactive markers, selectable regions, and customizable map behavior.

Interactive Map Controls

Handle map events such as clicks and hover interactions through the documented API. Configure labels and customize how users interact with map regions and markers.

Data Visualization

Represent information using map regions or markers. Automatically generated legends help users understand the data displayed on the map.

Maps and Custom Maps

The library provides access to maps covering the world, regions, countries, and cities through its official website. A Python-based converter is included for creating custom maps from supported geographic data formats, including Shapefiles.

Geographic Standards

Country and region identification uses the ISO 3166 standard, making the library useful for displaying datasets organized by geographic codes.

Website Integration

The library is designed to work with jQuery and supports mobile platforms according to the vendor's description. It can be used as a component in dashboards, reports, analytics interfaces, and other map-based web applications.

Compatibility note: The supplied product listing was last updated on 9 February 2020 and lists jQuery 2+ as a requirement. Verify compatibility with your current frontend stack before integrating it into a new project.

• Interactive vector-based maps for websites

• Map-based data visualization

• Region-based and marker-based displays

• Automatic legend generation

• Click and hover event handling

• Customizable labels and map behavior

• Maps for the world, regions, countries, and cities

• Python-based map converter included

• Custom map generation from supported GIS data formats

• Shapefile support for custom map creation

• ISO 3166 country and region identification

• Mobile-platform support as described by the vendor

• jQuery 2+ as specified by the vendor

• A website capable of loading JavaScript and the required library files

• Basic HTML, CSS, and JavaScript knowledge for integration and customization

• Python environment if using the included map converter

• Geographic source data in a supported format when creating custom maps