What are common use cases for uMap?

uMap is best suited to tasks where you need to place data on a map, draw on top of OpenStreetMap background layers, and publish the result on your own website without writing code. The project's own examples cover five recurring patterns: drawing lines and polygons, importing existing data layers, showing density with heatmaps, handling large point sets with clustering, and telling a sequenced story with the slideshow feature. If your task fits one of those shapes, uMap is a reasonable fit; if you need heavy spatial analysis or custom basemaps, it is not.

Drawing lines and polygons

The simplest use case is marking areas or routes by hand. uMap supports drawing lines and polygons directly on the map, which the project illustrates with a solar-panel suitability example: outlining roofs that have potential for solar panel sites.

This works well when:

• The set of features is small enough to draw manually.
• You want to annotate an area rather than compute anything from it.
• The map is meant to be read by people, not processed by another system.

Importing information layers

uMap lets you import data layers and place them on top of a tile layer. The project's example is a city's public transportation network, and a second example overlays imported data and drawings on a tile layer to make a flooding hazards plan easier to understand.

The pattern here is: take data you already have, load it as a layer, then add drawings or notes on top so the combination is more legible than either part alone. This is the use case to pick when your source data already exists in a file or service and you mainly need to present it in geographic context.

Representing density with heatmaps

When the question is "where is this concentrated?" rather than "where exactly is each item?", a heatmap is the right representation. uMap's example maps pubs in a given neighborhood to show density.

Use a heatmap when:

• Individual points matter less than the overall distribution.
• You have enough points that plotting each one would be unreadable.
• The audience needs a quick visual impression of concentration.

Handling many points with clustering

The project describes the cluster feature as the answer to having too much information to display: points are revealed step by step as you zoom in. This is the complement to the heatmap case — you keep the individual points, but only show them at zoom levels where they are readable.

Choose clustering over a heatmap when the identity and position of each individual point still matter to the reader.

Telling a story with the slideshow feature

uMap's slideshow feature lets you insert photos, texts, sounds, and videos and display them in a specific order. This turns a map from a static reference into a guided sequence, useful for walkthroughs, field reports, or narrative explanations where the order of what the reader sees is part of the point.

Choosing between these use cases

What to check before committing

uMap is described as free and open-source, maintained by a community of contributors, with anonymous usage available on its instances. That lowers the barrier for trying any of the use cases above. What the source material does not establish is anything about limits on data volume, storage, or long-term hosting guarantees, so for a map that must stay online and unchanged for years, verify those conditions on the instance you plan to use before you build on it.