public static WaterTableField GenerateWaters(Bitmap bmp, IField2d <float> baseField = null, WaterTableArgs args = null, Random random = null)
{
args = args ?? new WaterTableArgs()
{
seed = System.DateTime.UtcNow.Ticks
};
random = random ?? new Random((int)args.seed);
baseField = baseField ?? new Simplex2D(bmp.Width, bmp.Height, args.baseNoiseScale, args.seed);
Field2d <float> field = new FieldFromBitmap(bmp);
baseField = new NormalizedComposition2d <float>(baseField, new ScaleTransform(new Simplex2D(baseField.Width, baseField.Height, args.baseNoiseScale, args.seed), args.baseNoiseScalar));
BrownianTree tree = BrownianTree.CreateFromOther(field, (x) => x > 0.5f ? BrownianTree.Availability.Available : BrownianTree.Availability.Unavailable, random);
tree.RunDefaultTree();
HydrologicalField hydro = new HydrologicalField(tree, args.hydroSensitivity, args.hydroShoreThreshold);
WaterTableField wtf = new WaterTableField(baseField, hydro, args.wtfShore, args.wtfIt, args.wtfLen, args.wtfGrade, () =>
{
return((float)(args.wtfCarveAdd + random.NextDouble() * args.wtfCarveMul));
});
return(wtf);
}
public static void RunNoisyScenario()
{
const int Width = 1024;
const int Height = 1024;
const float Scale = 0.01f;
IField2d <float> basis = new DemiurgeLib.Noise.DiamondSquare2D(Width, Height);
IField2d <float> field;
field = new DemiurgeLib.Noise.Simplex2D(Height, Width, Scale);
field = new InvertTransform(new AbsTransform(field));
IField2d <float> field2;
field2 = new DemiurgeLib.Noise.Simplex2D(Height, Width, Scale * 10);
field2 = new ScaleTransform(new InvertTransform(new AbsTransform(field2)), 0.1f);
field = new NormalizedComposition2d <float>(basis, field, field2);
Bitmap bmp = new Bitmap(Height, Width);
for (int x = 0, y = 0; y < bmp.Height; y += ++x / bmp.Width, x %= bmp.Width)
{
int intensity = (int)(255.0 * field[x, y]);
bmp.SetPixel(x, y, Color.FromArgb(intensity, intensity, intensity));
}
bmp.Save("C:\\Users\\Justin Murray\\Desktop\\maps\\output\\noisy.png");
}
public static void RunWaterHeightScenario(string simpleWatersMapName, string simpleAltitudesMapName)
{
WaterTableArgs args = new WaterTableArgs();
args.seed = System.DateTime.UtcNow.Ticks;
Random random = new Random((int)args.seed);
Bitmap jranjana = new Bitmap(args.inputPath + simpleWatersMapName);
Field2d <float> field = new Utils.FieldFromBitmap(jranjana);
IField2d <float> bf = new Utils.FieldFromBitmap(new Bitmap(args.inputPath + simpleAltitudesMapName));
bf = new NormalizedComposition2d <float>(bf, new ScaleTransform(new Simplex2D(bf.Width, bf.Height, args.baseNoiseScale, args.seed), args.baseNoiseScalar));
Utils.OutputField(bf, jranjana, args.outputPath + "basis.png");
BrownianTree tree = BrownianTree.CreateFromOther(field, (x) => x > 0.5f ? BrownianTree.Availability.Available : BrownianTree.Availability.Unavailable, random);
tree.RunDefaultTree();
Utils.OutputField(new Transformation2d <BrownianTree.Availability, float>(tree, val => val == BrownianTree.Availability.Available ? 1f : 0f),
jranjana, args.outputPath + "rivers.png");
HydrologicalField hydro = new HydrologicalField(tree, args.hydroSensitivity, args.hydroShoreThreshold);
WaterTableField wtf = new WaterTableField(bf, hydro, args.wtfShore, args.wtfIt, args.wtfLen, args.wtfGrade, () =>
{
return((float)(args.wtfCarveAdd + random.NextDouble() * args.wtfCarveMul));
});
Utils.OutputAsTributaryMap(wtf.GeographicFeatures, wtf.RiverSystems, wtf.DrainageField, jranjana, args.outputPath + "tributaries.png");
Utils.OutputField(new NormalizedComposition2d <float>(new Transformation2d <float, float, float>(bf, wtf, (b, w) => Math.Abs(b - w))),
jranjana, args.outputPath + "errors.png");
Utils.SerializeMap(hydro, wtf, args.seed, args.outputPath + "serialization.bin");
Utils.OutputField(wtf, jranjana, args.outputPath + "heightmap.png");
Utils.OutputAsColoredMap(wtf, wtf.RiverSystems, jranjana, args.outputPath + "colored_map.png");
}
public static void RunZoomedInScenario()
{
// 32x32 up to 1024x1024 will, from the fifth-of-a-mile-per-pixel source, get us approximately 10m per pixel.
// 16x16 would get us 5
// 8x8 would get us 2.5
// 4x4 would get us 1.25
// 2x2 would get us .75
// 1x1 would get us .375, which is slightly over 1 foot.
// I think 16x16 is the sweet spot. That's just over 9 square miles per small map.
const int SMALL_MAP_SIDE_LEN = 64;
const float STARTING_SCALE = 0.005f * SMALL_MAP_SIDE_LEN / 32;
const int SMALL_MAP_RESIZED_LEN = 1024;
Random random = new Random();
WaterTableArgs args = new WaterTableArgs();
Bitmap bmp = new Bitmap(args.inputPath + "rivers.png");
IField2d <float> baseMap = new Utils.FieldFromBitmap(new Bitmap(args.inputPath + "base_heights.png"));
baseMap = new ReResField(baseMap, (float)bmp.Width / baseMap.Width);
var wtf = Utils.GenerateWaters(bmp, baseMap);
Utils.OutputAsColoredMap(wtf, wtf.RiverSystems, bmp, args.outputPath + "colored_map.png");
var hasWater = new Transformation2d <HydrologicalField.LandType, float>(wtf.HydroField, t => t == HydrologicalField.LandType.Land ? 0f : 1f);
var noiseDamping = new Transformation2d(new BlurredField(hasWater, 2f), v => 3.5f * v);
// Create the spline map.
SparseField2d <List <SplineTree> > relevantSplines = new SparseField2d <List <SplineTree> >(wtf.Width, wtf.Height, null);
{
//HashSet<TreeNode<Point2d>> relevantRivers = new HashSet<TreeNode<Point2d>>();
foreach (var system in wtf.RiverSystems)
{
SplineTree tree = null;
foreach (var p in system.value)
{
if (relevantSplines[p.value.y, p.value.x] == null)
{
relevantSplines[p.value.y, p.value.x] = new List <SplineTree>();
}
relevantSplines[p.value.y, p.value.x].Add(tree ?? (tree = new SplineTree(system.value, wtf, random)));
}
}
}
Rectangle rect = new Rectangle(518 + 15, 785 + 45, SMALL_MAP_SIDE_LEN, SMALL_MAP_SIDE_LEN);
var smallMap = new SubField <float>(wtf, rect);
var scaledUp = new BlurredField(new ReResField(smallMap, SMALL_MAP_RESIZED_LEN / smallMap.Width), SMALL_MAP_RESIZED_LEN / (4 * SMALL_MAP_SIDE_LEN));
var smallDamp = new SubField <float>(noiseDamping, rect);
var scaledDamp = new BlurredField(new ReResField(smallDamp, SMALL_MAP_RESIZED_LEN / smallMap.Width), SMALL_MAP_RESIZED_LEN / (4 * SMALL_MAP_SIDE_LEN));
// Do spline-y things.
Field2d <float> riverbeds;
List <SplineTree> splines = new List <SplineTree>();
{
// Collect a comprehensive list of the spline trees for the local frame.
for (int y = rect.Top - 1; y <= rect.Bottom + 1; y++)
{
for (int x = rect.Left - 1; x <= rect.Right + 1; x++)
{
List <SplineTree> trees = relevantSplines[y, x];
if (trees != null)
{
splines.AddRange(trees);
}
}
}
// Crafts the actual river kernel. Probably not the best way to go about this.
riverbeds = new Field2d <float>(new ConstantField <float>(SMALL_MAP_RESIZED_LEN, SMALL_MAP_RESIZED_LEN, float.MaxValue));
foreach (var s in splines)
{
var samples = s.GetSamplesPerControlPoint(1f * SMALL_MAP_RESIZED_LEN / SMALL_MAP_SIDE_LEN);
int priorX = int.MinValue;
int priorY = int.MinValue;
foreach (var p in samples)
{
int x = (int)((p[0] - rect.Left) * SMALL_MAP_RESIZED_LEN / SMALL_MAP_SIDE_LEN);
int y = (int)((p[1] - rect.Top) * SMALL_MAP_RESIZED_LEN / SMALL_MAP_SIDE_LEN);
if (x == priorX && y == priorY)
{
continue;
}
else
{
priorX = x;
priorY = y;
}
if (0 <= x && x < SMALL_MAP_RESIZED_LEN && 0 <= y && y < SMALL_MAP_RESIZED_LEN)
{
const int r = 1024 / SMALL_MAP_SIDE_LEN;
for (int j = -r; j <= r; j++)
{
for (int i = -r; i <= r; i++)
{
int xx = x + i;
int yy = y + j;
if (0 <= xx && xx < SMALL_MAP_RESIZED_LEN && 0 <= yy && yy < SMALL_MAP_RESIZED_LEN)
{
float dSq = i * i + j * j;
riverbeds[yy, xx] = Math.Min(riverbeds[yy, xx], p[2] + dSq / (512f * 32 / SMALL_MAP_SIDE_LEN));
//scaledDamp[yy, xx] = 1f;
//scaledUp[yy, xx] = Math.Min(scaledUp[yy, xx], p[2] + (float)Math.Sqrt(xx * xx + yy * yy) / 1f);
}
}
}
}
}
}
//Utils.OutputField(riverbeds, new Bitmap(riverbeds.Width, riverbeds.Height), args.outputPath + "river_field.png");
}
var mountainous = new ScaleTransform(new MountainNoise(1024, 1024, STARTING_SCALE), 1f);
var hilly = new ScaleTransform(new Simplex2D(1024, 1024, STARTING_SCALE * 4), 0.1f);
var terrainNoise = new Transformation2d <float, float, float>(mountainous, hilly, (x, y, m, h) =>
{
float a = scaledUp[y, x];
float sh = Math.Max(-2f * Math.Abs(a - 0.2f) / 3f + 1f, 0f);
float sm = Math.Min(1.3f * a, 1f);
return(h * sh + m * sm);
});
IField2d <float> combined =
new NormalizedComposition2d <float>(
new Transformation2d <float, float, float>(riverbeds,
new Composition2d <float>(scaledUp,
new Transformation2d <float, float, float>(scaledDamp, terrainNoise, (s, m) => (1 - Math.Min(1, s)) * m)
),
(r, c) => r == float.MaxValue ? c : Math.Min(r, c))
);
Bitmap img = new Bitmap(combined.Width, combined.Height);
Utils.OutputField(combined, img, args.outputPath + "combined.png");
Utils.OutputAsOBJ(combined, splines, rect, img, args.outputPath);
}
