Use a geoprocessing service and a set of features to identify statistically significant hot spots and cold spots.
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.
Select a date range (between 1998-01-01 and 1998-05-31) from the dialog and tap on Analyze. The results will be shown on the map upon successful completion of the GeoprocessingJob
.
- Create a
GeoprocessingTask
with the URL set to the endpoint of a geoprocessing service. - Create a query string with the date range as an input of
GeoprocessingParameters
. - Use the
GeoprocessingTask
to create aGeoprocessingJob
with theGeoprocessingParameters
instance. - Start the
GeoprocessingJob
and wait for it to complete and return aGeoprocessingResult
. - Get the resulting
ArcGISMapImageLayer
usingGeoprocessingResult.MapImageLayer
. - Add the layer to the map's operational layers.
- GeoprocessingJob
- GeoprocessingParameters
- GeoprocessingResult
- GeoprocessingTask
analysis, density, geoprocessing, hot spots, hotspots