Using Scientific Models in Environmental Simulations

Abstract

Use of scientific models to generate graphical virtual environments is described. In an embodiment at least two different scientific models are used. Input data which is representative of a real world environment is used by a first scientific model, such as a climate model, and data output by the first scientific model is then fed into a second, different, scientific model, such as an ecological model, in order to generate simulation data. The simulation data, which may, for example, detail the required population density of particular plant species and their size and age, is then used by a graphical simulation engine to generate a graphical virtual environment which may, for example, be used in a computer game such as a flight simulation game.

Description

Background technique [0001] Many computer game engines provide a 3D (three-dimensional) graphical simulation of the earth through which a user can navigate. The generation of the simulation environment involved a lot of manual work, including the manual positioning of ground elements such as mountains, lakes and forests. For a highly detailed view of a simulated environment, 3D objects can be manually placed in the environment; these objects can be individual trees or buildings, or a shape can be defined and simulated together with a collection of objects (such as trees) that will populate the shape The engine can then automatically fill the shape with objects from the defined collection. This process is very complex and time consuming, and has to be repeated for every new version of the game / simulation engine. [0002] To reduce the amount of manual work required, either aerial imagery or existing 3D models (such as Microsoft Virtual Earth TM ) to get the data. However,...

AI Technical Summary

Problems solved by technology

However, the information used in simulation engines is usually highly optimized (such as constrained polygon counts or optimized structural maps),...

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