Analyze hotspots

Use a geoprocessing service and a set of features to identify statistically significant hot spots and cold spots.

Use case

This tool identifies statistically significant spatial clusters of high values (hot spots) and low values (cold spots). For example, a hotspot analysis based on the frequency of 911 calls within a set region.

How to use the sample

Select a date range (between 1998-01-01 and 1998-05-31) from the dialog. The results will be shown on the map upon successful completion of the geoprocessing job.

How it works

1. Create a geoprocessing task with the URL set to the endpoint of a geoprocessing service using GeoprocessingTask.init(url:).
2. Create a query string with the date range and set it as an input of the geoprocessing parameters using GeoprocessingParameters.setInputValue(_:forKey:).
3. Use the geoprocessing task to create a job with the parameters using GeoprocessingTask.makeJob(parameters:).
4. Start the geoprocessing job and wait for it to complete and return a result using GeoprocessingJob.output.
5. Get the resulting ArcGISMapImageLayer instance using GeoprocessingResult.mapImageLayer.
6. Add the layer to the map’s operational layers.

Relevant API

• GeoprocessingJob
• GeoprocessingParameters
• GeoprocessingResult
• GeoprocessingTask

Tags

analysis, density, geoprocessing, hot spots, hotspots