Creating a heat map analysis

A heat map displays different colors to represent the relative density of data on the map.

About this task

A heat map analysis evaluates all of the selected data and displays relative density of the data distribution. A heat map differs from a hotspot in that a hotspot analysis looks for clusters of data and displays those clusters as hotspots. A heat map displays relative density without looking for clusters. For example, a heat map of parking citations in a selected area shows the density of citations from high to low.

Procedure

  1. Select the option to create a heat map analysis.
  2. Specify the required values for the General, When, Where, and What pages. If your administrator configures time and date filtering to be optional in a data source's minimal properties, you can choose not to apply the time and date filter settings that are specified on the When page. A clock icon is displayed on the What page next to data sources for which optional time and date filtering is configured. Click the clock icon to either enable or disable time and date filtering.
  3. On the Analytic Details page, select whether to set grid dimensions in miles or kilometers, and specify the dimension of each grid cell. For example, specify that each grid cell will be 0.25 miles on a side. If your analysis results in too many cells and is not displayed on the map, try a larger cell dimension or a smaller boundary area.
  4. On the Appearance page, select the time interval to display on the timeline, heat map opacity, value type (percentage or count), and the color to display for each value range.
  5. Optional: Specify who to notify when analysis results are ready, and whether to run the analysis on a schedule.
  6. Click Save and Run.
  7. To view the results, open the Analytics window, expand the Heat Map pane, and select the analysis.

Results

Heat map results are displayed as a colored grid on the map. Hover your mouse over a cell to see the value of that cell. Click a grid cell to view more information. Drill down on a cell to view the individual events in that cell.
Restriction: Zooming out on a heat map might result in unpredictable scaling.