public static NoiseMap GetMap(NoisePackage package)
{
Perlin noiseSource = new Perlin
{
Seed = package.Seed,
OctaveCount = package.OctaveCount,
Persistence = package.Persistence,
Quality = (NoiseQuality)package.Quality,
Frequency = package.Frequency
};
// Create a new, empty, noise map and initialize a new planar noise map builder with it
var noiseMap = new NoiseMap();
var noiseMapBuilder = new PlaneNoiseMapBuilder
{
DestNoiseMap = noiseMap,
SourceModule = noiseSource
};
// Set the size of the noise map
noiseMapBuilder.SetDestSize(Program.MapWidth, Program.MapHeight);
// Set the bounds of the noise mpa builder
// These are the coordinates in the noise source from which noise values will be sampled
noiseMapBuilder.SetBounds(-3, 3, -2, 2);
// Build the noise map - samples values from the noise module above,
// using the bounds coordinates we have passed in the builder
noiseMapBuilder.Build();
return(noiseMap);
}
public static NoisePackage Generate()
{
// Randomly generate a package to return at the end of the method
NoisePackage package = new NoisePackage
{
Seed = new Random().Next(),
OctaveCount = new Random().Next(3, 9),
Persistence = new Random().NextDouble(),
Quality = (byte)NoiseQuality.Best,
Frequency = (double)new Random().Next(1, 3)
};
// The noise source - a simple Perlin noise generator will do for this sample
Perlin noiseSource = new Perlin
{
Seed = package.Seed,
OctaveCount = package.OctaveCount,
Persistence = package.Persistence,
Quality = (NoiseQuality)package.Quality,
Frequency = package.Frequency
};
// Create a new, empty, noise map and initialize a new planar noise map builder with it
var noiseMap = new NoiseMap();
var noiseMapBuilder = new PlaneNoiseMapBuilder
{
DestNoiseMap = noiseMap,
SourceModule = noiseSource
};
// Set the size of the noise map
noiseMapBuilder.SetDestSize(Program.MapWidth, Program.MapHeight);
// Set the bounds of the noise mpa builder
// These are the coordinates in the noise source from which noise values will be sampled
noiseMapBuilder.SetBounds(-3, 3, -2, 2);
// Build the noise map - samples values from the noise module above,
// using the bounds coordinates we have passed in the builder
noiseMapBuilder.Build();
// Create a new image and image renderer
var image = new Image();
var renderer = new ImageRenderer
{
SourceNoiseMap = noiseMap,
DestinationImage = image
};
// The renderer needs to know how to map noise values to colors.
// In this case, we use one of the predefined gradients, specifically the terrain gradient,
// which maps lower noise values to blues and greens and higher values to brouns and whites.
// This simulates the look of a map with water, grass and vegetation, dirt and mountains.
renderer.BuildGrayscaleGradient();
// Before rendering the image, we could set various parameters on the renderer,
// such as the position and color of the light source.
// But we aren't going to bother for this sample.
// Finally, render the image
renderer.Render();
// Finally, save the rendered image as a PNG in the current directory
using (var fs = File.OpenWrite("NoiseMapGrayscale.png"))
{
image.SaveGdiBitmap(fs, ImageFormat.Png);
}
renderer.BuildTerrainGradient();
renderer.Render();
using (var fs = File.OpenWrite("NoiseMapColor.png"))
{
image.SaveGdiBitmap(fs, ImageFormat.Png);
}
Process photoViewer = new Process();
photoViewer.StartInfo.FileName = "NoiseMapColor.png";
photoViewer.Start();
Console.WriteLine(
"\n Frequency: " + noiseSource.Frequency +
"\n Lacunarity: " + noiseSource.Lacunarity +
"\n Octaves: " + noiseSource.OctaveCount +
"\n Persistence: " + noiseSource.Persistence +
"\n Seed: " + noiseSource.Seed + "\n");
return(package);
}