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Common techniques include Simplex noise, fractals, or the diamond-square algorithm, which can generate 2-dimensional heightmaps. A version of scenery generator can be very simplistic. Using a diamond-square algorithm with some extra steps involving fractals an algorithm for random generation of terrain can be made with only 120 lines of code.
A commercial version of the software is also available and is capable of creating larger terrains, renders with higher image resolution, larger terrain files, and better post-render anti-aliasing than the freeware version. The terrain is generated from a two-dimensional heightmap. The program contains facilities for importing and exporting ...
MojoWorld Generator – a defunct landscape generator for Windows; openPlaG – creates fractals by plotting simple functions; Picogen - a cross platform open source terrain generator; Sterling – freeware software for Windows; Terragen – a fractal terrain generator that can render animations for Windows and Mac OS X
MojoWorld could generate entire planets through mathematics and procedural generation, using a simple graphical interface and a planet-generation Wizard. [1] The resulting terrain could then be navigated in 3D space much like a videogame, allowing users to easily find exactly the right place for a scenic landscape picture.
Currently there is a frontend to picogen, called picogen-wx (based on wxWidgets).It is encapsulated from picogen and thus communicates with it on command-line level. . Picogen-wx provides several panels to design the different aspects of a landscape, e.g. the Sun/Sky- or the Terrain-Textur
The square step: For each diamond in the array, set the midpoint of that diamond to be the average of the four corner points plus a random value. Each random value is multiplied by a scale constant, which decreases with each iteration by a factor of 2 −h, where h is a value between 0.0 and 1.0 (lower values produce rougher terrain). [2]
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Different models can be generated by changing both deterministic parameters and a random seed. In computing , procedural generation is a method of creating data algorithmically as opposed to manually, typically through a combination of human-generated content and algorithms coupled with computer-generated randomness and processing power.