Spatial analysis

Spatial analysis derives new layers from existing ones. Every output is itself a feature layer, so results appear on the map immediately and can be used as input to the next operation.

Run an analysis

1. Open the Analysis panel from the map sidebar.
2. Pick an operation (see the table below).
3. Pick the input layers.
4. Configure the operation's parameters.
5. Click Run.

A progress bar shows the job moving through Queued → Running → Completed. When it completes, the output appears as a new layer in the layers panel.

Available operations

Operation	What it does
Buffer	Creates a polygon at a chosen distance around each input feature.
Intersect	Returns features where two layers overlap.
Union	Merges overlapping features into combined polygons.
Difference	Subtracts one layer from another (A minus B).
Clip	Cuts features to a bounding geometry.
Proximity (Nearest N)	Finds the nearest N features in layer B for each feature in layer A, with distance.
Spatial join	Counts or sums features from one layer inside polygons of another.
Heatmap	Generates a density layer from point input.
Isochrone	Generates a drive- or walk-time catchment polygon around a point.
Attribute statistics	Computes sum, mean, min, max, or count over a region.

Chain operations

Because every output is a new layer, you can feed the result of one analysis straight into another:

1. Run a buffer on your bridges layer at 500 m.
2. Run an intersect of the resulting polygons against your flood-zones layer.
3. Run a heatmap on the intersection by severity.

Each step's output stays in the layers panel; you can rename or delete intermediate layers as you go.

Watch progress live

While a job is running, click the job in the Jobs panel to see live progress and log output. You can leave the page; the job keeps running and the new layer appears when it's done.

Cancel a job

In the Jobs panel, click the running job, then Cancel.

What next?

• Maps: inputs and outputs all appear on the same map.
• Dashboards: use analysis outputs as widget data sources.
• Flood data: combine flood-risk layers with your asset registers.