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Determine the scope of data needed: Decide on what kind and quantity of data you need to generate so that it covers worldwide data. This includes defining the parameters, data sources, and data types.

Create a data model: Define the data model for your WPF application. Ensure that it is scalable and can accommodate the volume of data that you want to generate. The data model should also be flexible enough to accommodate future changes in the data.

Implement the ViewModel: The ViewModel is responsible for managing the data and presenting it to the View. It should be designed to provide the necessary functionalities for the user interface to access and manipulate the data.

Define the data generator component: The data generator component is responsible for creating and populating the data model with the necessary data. Ensure that the data generator can create data based on different parameters such as geographic location, population density, etc.

Integrate the data generator into the ViewModel: The data generator component should be integrated into the ViewModel so that the data can be accessed and presented in the View.

Test the data generator: Ensure that the data generator is working correctly by testing it with various parameters and data sources. Test the data model to ensure that it can handle the generated data.

Optimize performance: Optimize the performance of the data generator by implementing best practices such as using asynchronous data fetching, caching data to reduce API calls, etc.

Present data in the View: Finally, present the data in the View, using appropriate data visualization techniques.