/// <summary>
/// Run the generator against a world.
/// </summary>
/// <param name="world">The world to generate against.</param>
public void RunGeneration(TWorld world)
{
var oceanBiaser = new OceanBiaser <TWorld, TCell>();
oceanBiaser.CreateBiasPoints(world, 25);
var rainfallMap = new float[world.Width, world.Height];
var cloudMap = new float[world.Width, world.Height];
var iterations = world.Width;
for (int i = 0; i < iterations; i++)
{
PickAndDropRain(rainfallMap, cloudMap, world);
cloudMap = MoveClouds(cloudMap, world);
}
//TODO ocean adjacent bias
rainfallMap = MapUtil.Normalize(rainfallMap);
for (int x = 0; x < world.Width; x++)
{
for (int y = 0; y < world.Height; y++)
{
var oceanBias = oceanBiaser.OceanBiasAt(new CellAddress(x, y));
world.GetCell(x, y).Rainfall = 0.8f * rainfallMap[x, y] + 0.2f * oceanBias;
}
}
}
/// <summary>
/// Run the generator against a world.
/// </summary>
/// <param name="world">The world to generate against.</param>
public void RunGeneration(TWorld world)
{
var oceanBiaser = new OceanBiaser <TWorld, TCell>();
oceanBiaser.CreateBiasPoints(world, 25);
var noise = new SimplexNoiseGenerator(world.Seed + "temperature".GetHashCode());
var noiseMap = new float[world.Width, world.Height];
for (int x = 0; x < world.Width; x++)
{
for (int y = 0; y < world.Height; y++)
{
noiseMap[x, y] = noise.CoherentNoise(x, y, 0, 3, 100, 0.5f, 2, 0.4f);
}
}
noiseMap = MapUtil.Normalize(noiseMap);
for (int x = 0; x < world.Width; x++)
{
for (int y = 0; y < world.Height; y++)
{
var baseT = y / (float)world.Height * 2;
if (y > world.Height / 2)
{
baseT = (world.Height - y) / (float)world.Height * 2;
}
var oceanBias = 1f - 0.3f * oceanBiaser.OceanBiasAt(new CellAddress(x, y));
world.GetCell(x, y).Temperature = (0.8f * baseT + 0.2f * noiseMap[x, y]) * oceanBias;
}
}
}
/// <summary>
/// Run the generator against a world.
/// </summary>
/// <param name="world">The world to generate against.</param>
public void RunGeneration(TWorld world)
{
var oceanBiaser = new OceanBiaser <TWorld, TCell>();
oceanBiaser.CreateBiasPoints(world, 25);
var noise = new SimplexNoiseGenerator(world.Seed + "rain".GetHashCode());
var rainfallMap = new float[world.Width, world.Height];
for (int x = 0; x < world.Width; x++)
{
for (int y = 0; y < world.Height; y++)
{
var bias = (float)(-1 * Math.Cos(y / Math.PI / (world.Height / 6f)) / 2 + 0.5f);
bias = 0.75f * bias + 0.25f;
rainfallMap[x, y] = noise.CoherentNoise(x, y, 0, 3, 75, 0.5f, 2, 0.4f) * bias;
}
}
rainfallMap = MapUtil.Normalize(rainfallMap);
for (int x = 0; x < world.Width; x++)
{
for (int y = 0; y < world.Height; y++)
{
if (!IsOcean(x, y, world))
{
var oceanBias = oceanBiaser.OceanBiasAt(new CellAddress(x, y));
world.GetCell(x, y).Rainfall = 0.8f * rainfallMap[x, y] + 0.2f * oceanBias;
}
}
}
}
