Heatmap

You can use heat maps to determine regional aggregations of data values (clustering). The regional aggregations are displayed on the map like mountains or like "hot zones"  .

The analysis Heatmap is particularly suitable for evaluating existing locations and for finding new locations. If the potential is taken as input, the areas with particularly high cumulative data values ("hot zones" or "mountain peaks") are the ideal locations.

Alternatives

In the site-specific variant of the heat maps, the map is displayed similarly to the images from thermal imaging cameras: Data peaks appear as especially "hot zones". In the area-related variant of the heat maps, the data peaks appear like mountains.

Creating a New Analysis

You can add the Analysis via Analyze > Heatmap. The analysis then starts with the selection of the analysis type: area based or location based - see variants and with the Selection of the input data.

  • Via the Advanced button you can specify whether the analysis should consider an existing clip maps in the calculation of classifications - more about Analysis reference.

Set the Properties of the Heatmap

Properties refers to all settings for calculating and displaying the analysis. You can select certain columns of the previously defined table to control certain aspects of the display (for example, the color). You also reach this settings dialog if you want to edit existing analyses.

Initially, after creating the heat map analysis, a heat map was inserted according to the Number of data records (see Data column).

Selection of the data column

First select the column to be evaluated.

    • With a area-related analysis you can additionally determine aggregation of the data of the selected column. This specifies the rule how data are combined if several data are available for an area.
    • The Format option is only available for area-specific analyses. Normally, the formatting of the selected data column is also used for the analysis result; this is always the case for site-specific analyses. For certain aggregation procedures (for example, number of values), however, this formatting cannot be used meaningfully. You can define a new formatting here, which is used in legends for this analysis, for example.

    • Under Statistics you can display statistical information (e.g. number of data records, min., max.) for the selected column - click on the button in the field next to Statistics.

In the first section Color there are two display types available: Classified and Continuous. By default, a continuous color gradient of the heatmap is preselected, but you can edit it at any time. The properties are the same here, regardless of the type of analysis you have chosen - location-based or area-based.

How should the data be handled with increasing distance?

Before the analysis is displayed, a cumulated value is calculated for each area or pixel, which is then displayed as area shading.

This value results from the sum of the base values of all areas in a certain distance (determined by the Radius). Often, areas closer to this area are more relevant than more distant areas. Therefore, you can also specify whether the values of other areas should be weighted according to their distance.

The following methods for taking the distance into account are offered: Complete, Linear sloping or Squared sloping.

The following figure shows a comparison of the three options for a location based heatmap. A radius of 50 km was set; the selected value is the same for each location. With the complete option, the value for the coloring of the 50 km radius is completely included in the calculation. If two circles overlap, both values are completely included in the calculation. The option linear descending calculates the values of a location with increasing distance linearly descending as well as with the third option quadratic descending. As a result, the "hot zones" in the quadratically decreasing heat map are smaller or more sharply defined, since the values decrease faster with increasing distance to the location.

Special effect

If you define the Radius for the data to be included in the calculation of the cumulated data values, via kilometres in the Map, the same surrounding is always taken into account for each pixel or for each building block, regardless of the zoom. If, on the other hand, you define the radius using centimeter on the Sheet, the radius to be taken into account changes depending on the zoom, because by zooming the scale changes; as a result, the radius becomes smaller and smaller with increasing zoom. This often leads to the fact that a large cluster dissolves into many small subclusters with increasing zoom. In the heatmap above, this would cause the Rhine/Ruhr conurbation to disintegrate into individual data peaks in the major cities of Cologne, Düsseldorf, Duisburg, Essen, Dortmund, etc.

How should colors and values be classified?

You can choose between a classified or continuous colored heatmap. The option Continuous offers you the convenience of a color gradient without specifying value classes.

Determine the details of the analysis

In Details you define other (non-data-dependent) properties of the analysis.

Create tooltips for analysis

When crossing the colored areas on the map, you can display context-sensitive information about them.

Note: You can find out how to implement tooltips here.

The commands of the context menu

By right-clicking on the analysis in the Navigation window Content you may open its context menu. The context menu provides commands that may be performed on this analysis.