Thermal Map

Application Scenario

Thermal maps can convert data into color tones in the geographic coordinate range, and visually reflect data information such as the hot spot distribution and regional clustering through color changes. The following figure shows the values of PM2.5 in areas of several cities after environment monitoring.

Basic Requirement

The following table shows the basic requirements for thermal maps.

Chart Feature

Advantage: Thermal maps can clearly present the distribution, frequency, or density of data in geographical spaces.

Disadvantage: With the extremely soft effect, thermal maps are unsuitable for precise data analyses.

Data Preparation

1. Log in to the system as the admin, click My Analysis, select a folder, and click New Subject, as shown in the following figure.

2. Click Local Excel and click Upload Data, as shown in the following figure.

You can download the example data National Environment Monitoring Data.xlsx.

3. Click OK after the data is uploaded, as shown in the following figure.

Component Creation

1. Click Component in the lower left corner, as shown in the following figure.

2. Convert the Monitored City field in the area to be analyzed into a geographic role, as shown in the following figure. For details, see Converting Dimension Fields into Geographical Roles.

Note:

For details about converting longitude and latitude fields into geographical roles, see Converting Indicator Fields into Geographical Roles.

3. Click the Thermal Map icon in Chart Type and drag the Monitored City (Longitude) field into Horizontal Axis and the Monitored City (Latitude) field into Vertical Axis, as shown in the following figure.

4. Drag the PM2.5 indicator field (to be displayed) into Thermal Color and the Monitored City field into Fine-grained, as shown in the following figure.

Graphic Property Setting

Click Thermal Color and select Autumn from the drop-down list of Gradient Solution in the pop-up box, as shown in the following figure.

For details, see Graphic Properties.

You can also set styles such as Legend, Grid Line, Background, and Adaption Display for the component. For details, see Chart Component Style.

On PC

On Mobile Terminals

The following figure shows the preview effect on the DataAnalyst and on HTML5 apps.