Entropy

Introduction

Entropy represents the uncertainty of the information, which is a statistic measuring how much information the dataset includes. If a random event is more uncertain, we need more information to predict whether it will happen, in other words, the entropy of the event is relatively higher. The system with high randomness needs more information to reduce the uncertainty and the entropy is connected with the structure of the system; therefore, users can easily understand the dynamic change of the system through the change of the entropy.

1. Set the input data

• Input Data: Spatial Data or Attribute Data.

2. Select the calculation field

• Calculation Field: The field to be used for calculating the entropy.

3. Set the output data

• Output Data Name: If no name is set, the default is "toolName_time".

4. Submit

After completing the above settings, click Submit to start the tool.
When it finishes successfully, a message will be shown at the top of the page. You can click the Open Data button to start accessing the data or go to the Data page to view it.