noise generation class
public class NoiseGenerator {
@SuppressWarnings("unused")
public static float[][] generateOctavedSimplexNoise(int width, int height, int startX, int startY,int octaves, float roughness, float scale) {
float[][] totalNoise = new float[width][height];
float layerFrequency = scale;
float layerWeight = 1;
float weightSum = 0;
for (int octave = 0; octave < octaves; octave++) {
//Calculate single layer/octave of simplex noise, then add it to total noise
for(int x = 0; x < width; x++){
for(int y = 0; y < height; y++){
totalNoise[x][y] += (float) noise((x+startX) * layerFrequency,(y+startY) * layerFrequency) * layerWeight;
}
}
//Increase variables with each incrementing octave
layerFrequency *= 2;
weightSum += layerWeight;
layerWeight *= roughness;
}
return totalNoise;
}
private static int grad3[][] = { { 1, 1, 0 }, { -1, 1, 0 }, { 1, -1, 0 },
{ -1, -1, 0 }, { 1, 0, 1 }, { -1, 0, 1 }, { 1, 0, -1 },
{ -1, 0, -1 }, { 0, 1, 1 }, { 0, -1, 1 }, { 0, 1, -1 },
{ 0, -1, -1 } };
private static int grad4[][] = { { 0, 1, 1, 1 }, { 0, 1, 1, -1 },
{ 0, 1, -1, 1 }, { 0, 1, -1, -1 }, { 0, -1, 1, 1 },
{ 0, -1, 1, -1 }, { 0, -1, -1, 1 }, { 0, -1, -1, -1 },
{ 1, 0, 1, 1 }, { 1, 0, 1, -1 }, { 1, 0, -1, 1 }, { 1, 0, -1, -1 },
{ -1, 0, 1, 1 }, { -1, 0, 1, -1 }, { -1, 0, -1, 1 },
{ -1, 0, -1, -1 }, { 1, 1, 0, 1 }, { 1, 1, 0, -1 },
{ 1, -1, 0, 1 }, { 1, -1, 0, -1 }, { -1, 1, 0, 1 },
{ -1, 1, 0, -1 }, { -1, -1, 0, 1 }, { -1, -1, 0, -1 },
{ 1, 1, 1, 0 }, { 1, 1, -1, 0 }, { 1, -1, 1, 0 }, { 1, -1, -1, 0 },
{ -1, 1, 1, 0 }, { -1, 1, -1, 0 }, { -1, -1, 1, 0 },
{ -1, -1, -1, 0 } };
private static int p[] = { 151, 160, 137, 91, 90, 15, 131, 13, 201, 95, 96,
53, 194, 233, 7, 225, 140, 36, 103, 30, 69, 142, 8, 99, 37, 240,
21, 10, 23, 190, 6, 148, 247, 120, 234, 75, 0, 26, 197, 62, 94,
252, 219, 203, 117, 35, 11, 32, 57, 177, 33, 88, 237, 149, 56, 87,
174, 20, 125, 136, 171, 168, 68, 175, 74, 165, 71, 134, 139, 48,
27, 166, 77, 146, 158, 231, 83, 111, 229, 122, 60, 211, 133, 230,
220, 105, 92, 41, 55, 46, 245, 40, 244, 102, 143, 54, 65, 25, 63,
161, 1, 216, 80, 73, 209, 76, 132, 187, 208, 89, 18, 169, 200, 196,
135, 130, 116, 188, 159, 86, 164, 100, 109, 198, 173, 186, 3, 64,
52, 217, 226, 250, 124, 123, 5, 202, 38, 147, 118, 126, 255, 82,
85, 212, 207, 206, 59, 227, 47, 16, 58, 17, 182, 189, 28, 42, 223,
183, 170, 213, 119, 248, 152, 2, 44, 154, 163, 70, 221, 153, 101,
155, 167, 43, 172, 9, 129, 22, 39, 253, 19, 98, 108, 110, 79, 113,
224, 232, 178, 185, 112, 104, 218, 246, 97, 228, 251, 34, 242, 193,
238, 210, 144, 12, 191, 179, 162, 241, 81, 51, 145, 235, 249, 14,
239, 107, 49, 192, 214, 31, 181, 199, 106, 157, 184, 84, 204, 176,
115, 121, 50, 45, 127, 4, 150, 254, 138, 236, 205, 93, 222, 114,
67, 29, 24, 72, 243, 141, 128, 195, 78, 66, 215, 61, 156, 180 };
// To remove the need for index wrapping, double the permutation table
// length
private static int perm[] = new int[512];
static {
for (int i = 0; i < 512; i++)
perm[i] = p[i & 255];
}
// A lookup table to traverse the simplex around a given point in 4D.
// Details can be found where this table is used, in the 4D noise method.
private static int simplex[][] = { { 0, 1, 2, 3 }, { 0, 1, 3, 2 },
{ 0, 0, 0, 0 }, { 0, 2, 3, 1 }, { 0, 0, 0, 0 }, { 0, 0, 0, 0 },
{ 0, 0, 0, 0 }, { 1, 2, 3, 0 }, { 0, 2, 1, 3 }, { 0, 0, 0, 0 },
{ 0, 3, 1, 2 }, { 0, 3, 2, 1 }, { 0, 0, 0, 0 }, { 0, 0, 0, 0 },
{ 0, 0, 0, 0 }, { 1, 3, 2, 0 }, { 0, 0, 0, 0 }, { 0, 0, 0, 0 },
{ 0, 0, 0, 0 }, { 0, 0, 0, 0 }, { 0, 0, 0, 0 }, { 0, 0, 0, 0 },
{ 0, 0, 0, 0 }, { 0, 0, 0, 0 }, { 1, 2, 0, 3 }, { 0, 0, 0, 0 },
{ 1, 3, 0, 2 }, { 0, 0, 0, 0 }, { 0, 0, 0, 0 }, { 0, 0, 0, 0 },
{ 2, 3, 0, 1 }, { 2, 3, 1, 0 }, { 1, 0, 2, 3 }, { 1, 0, 3, 2 },
{ 0, 0, 0, 0 }, { 0, 0, 0, 0 }, { 0, 0, 0, 0 }, { 2, 0, 3, 1 },
{ 0, 0, 0, 0 }, { 2, 1, 3, 0 }, { 0, 0, 0, 0 }, { 0, 0, 0, 0 },
{ 0, 0, 0, 0 }, { 0, 0, 0, 0 }, { 0, 0, 0, 0 }, { 0, 0, 0, 0 },
{ 0, 0, 0, 0 }, { 0, 0, 0, 0 }, { 2, 0, 1, 3 }, { 0, 0, 0, 0 },
{ 0, 0, 0, 0 }, { 0, 0, 0, 0 }, { 3, 0, 1, 2 }, { 3, 0, 2, 1 },
{ 0, 0, 0, 0 }, { 3, 1, 2, 0 }, { 2, 1, 0, 3 }, { 0, 0, 0, 0 },
{ 0, 0, 0, 0 }, { 0, 0, 0, 0 }, { 3, 1, 0, 2 }, { 0, 0, 0, 0 },
{ 3, 2, 0, 1 }, { 3, 2, 1, 0 } };
// This method is a *lot* faster than using (int)Math.floor(x)
private static int fastfloor(double x) {
return x > 0 ? (int) x : (int) x - 1;
}
private static double dot(int g[], double x, double y) {
return g[0] * x + g[1] * y;
}
private static double dot(int g[], double x, double y, double z, double w) {
return g[0] * x + g[1] * y + g[2] * z + g[3] * w;
} // 2D simplex noise
public static double noise(double xin, double yin) {
double n0, n1, n2; // Noise contributions from the three corners
// Skew the input space to determine which simplex cell we're in
final double F2 = 0.5 * (Math.sqrt(3.0) - 1.0);
double s = (xin + yin) * F2; // Hairy factor for 2D
int i = fastfloor(xin + s);
int j = fastfloor(yin + s);
final double G2 = (3.0 - Math.sqrt(3.0)) / 6.0;
double t = (i + j) * G2;
double X0 = i - t; // Unskew the cell origin back to (x,y) space
double Y0 = j - t;
double x0 = xin - X0; // The x,y distances from the cell origin
double y0 = yin - Y0;
// For the 2D case, the simplex shape is an equilateral triangle.
// Determine which simplex we are in.
int i1, j1; // Offsets for second (middle) corner of simplex in (i,j)
// coords
if (x0 > y0) {
i1 = 1;
j1 = 0;
} // lower triangle, XY order: (0,0)->(1,0)->(1,1)
else {
i1 = 0;
j1 = 1;
} // upper triangle, YX order: (0,0)->(0,1)->(1,1)
// A step of (1,0) in (i,j) means a step of (1-c,-c) in (x,y), and
// a step of (0,1) in (i,j) means a step of (-c,1-c) in (x,y), where
// c = (3-sqrt(3))/6
double x1 = x0 - i1 + G2; // Offsets for middle corner in (x,y) unskewed
// coords
double y1 = y0 - j1 + G2;
double x2 = x0 - 1.0 + 2.0 * G2; // Offsets for last corner in (x,y)
// unskewed coords
double y2 = y0 - 1.0 + 2.0 * G2;
// Work out the hashed gradient indices of the three simplex corners
int ii = i & 255;
int jj = j & 255;
int gi0 = perm[ii + perm[jj]] % 12;
int gi1 = perm[ii + i1 + perm[jj + j1]] % 12;
int gi2 = perm[ii + 1 + perm[jj + 1]] % 12;
// Calculate the contribution from the three corners
double t0 = 0.5 - x0 * x0 - y0 * y0;
if (t0 < 0)
n0 = 0.0;
else {
t0 *= t0;
n0 = t0 * t0 * dot(grad3[gi0], x0, y0); // (x,y) of grad3 used for
// 2D gradient
}
double t1 = 0.5 - x1 * x1 - y1 * y1;
if (t1 < 0)
n1 = 0.0;
else {
t1 *= t1;
n1 = t1 * t1 * dot(grad3[gi1], x1, y1);
}
double t2 = 0.5 - x2 * x2 - y2 * y2;
if (t2 < 0)
n2 = 0.0;
else {
t2 *= t2;
n2 = t2 * t2 * dot(grad3[gi2], x2, y2);
}
// Add contributions from each corner to get the final noise value.
// The result is scaled to return values in the interval [-1,1].
return 70.0 * (n0 + n1 + n2);
}
double noise(double x, double y, double z, double w) {
// The skewing and unskewing factors are hairy again for the 4D case
final double F4 = (Math.sqrt(5.0) - 1.0) / 4.0;
final double G4 = (5.0 - Math.sqrt(5.0)) / 20.0;
double n0, n1, n2, n3, n4; // Noise contributions from the five corners
// Skew the (x,y,z,w) space to determine which cell of 24 simplices
// we're in
double s = (x + y + z + w) * F4; // Factor for 4D skewing
int i = fastfloor(x + s);
int j = fastfloor(y + s);
int k = fastfloor(z + s);
int l = fastfloor(w + s);
double t = (i + j + k + l) * G4; // Factor for 4D unskewing
double X0 = i - t; // Unskew the cell origin back to (x,y,z,w) space
double Y0 = j - t;
double Z0 = k - t;
double W0 = l - t;
double x0 = x - X0; // The x,y,z,w distances from the cell origin
double y0 = y - Y0;
double z0 = z - Z0;
double w0 = w - W0;
// For the 4D case, the simplex is a 4D shape I won't even try to
// describe.
// To find out which of the 24 possible simplices we're in, we need to
// determine the magnitude ordering of x0, y0, z0 and w0.
// The method below is a good way of finding the ordering of x,y,z,w and
// then find the correct traversal order for the simplex we’re in.
// First, six pair-wise comparisons are performed between each possible
// pair
// of the four coordinates, and the results are used to add up binary
// bits
// for an integer index.
int c1 = (x0 > y0) ? 32 : 0;
int c2 = (x0 > z0) ? 16 : 0;
int c3 = (y0 > z0) ? 8 : 0;
int c4 = (x0 > w0) ? 4 : 0;
int c5 = (y0 > w0) ? 2 : 0;
int c6 = (z0 > w0) ? 1 : 0;
int c = c1 + c2 + c3 + c4 + c5 + c6;
int i1, j1, k1, l1; // The integer offsets for the second simplex corner
int i2, j2, k2, l2; // The integer offsets for the third simplex corner
int i3, j3, k3, l3; // The integer offsets for the fourth simplex corner
// simplex[c] is a 4-vector with the numbers 0, 1, 2 and 3 in some
// order.
// Many values of c will never occur, since e.g. x>y>z>w makes x<z, y<w
// and x<w
// impossible. Only the 24 indices which have non-zero entries make any
// sense.
// We use a thresholding to set the coordinates in turn from the largest
// magnitude.
// The number 3 in the "simplex" array is at the position of the largest
// coordinate.
i1 = simplex[c][0] >= 3 ? 1 : 0;
j1 = simplex[c][1] >= 3 ? 1 : 0;
k1 = simplex[c][2] >= 3 ? 1 : 0;
l1 = simplex[c][3] >= 3 ? 1 : 0;
// The number 2 in the "simplex" array is at the second largest
// coordinate.
i2 = simplex[c][0] >= 2 ? 1 : 0;
j2 = simplex[c][1] >= 2 ? 1 : 0;
k2 = simplex[c][2] >= 2 ? 1 : 0;
l2 = simplex[c][3] >= 2 ? 1 : 0;
// The number 1 in the "simplex" array is at the second smallest
// coordinate.
i3 = simplex[c][0] >= 1 ? 1 : 0;
j3 = simplex[c][1] >= 1 ? 1 : 0;
k3 = simplex[c][2] >= 1 ? 1 : 0;
l3 = simplex[c][3] >= 1 ? 1 : 0;
// The fifth corner has all coordinate offsets = 1, so no need to look
// that up.
double x1 = x0 - i1 + G4; // Offsets for second corner in (x,y,z,w)
// coords
double y1 = y0 - j1 + G4;
double z1 = z0 - k1 + G4;
double w1 = w0 - l1 + G4;
double x2 = x0 - i2 + 2.0 * G4; // Offsets for third corner in (x,y,z,w)
// coords
double y2 = y0 - j2 + 2.0 * G4;
double z2 = z0 - k2 + 2.0 * G4;
double w2 = w0 - l2 + 2.0 * G4;
double x3 = x0 - i3 + 3.0 * G4; // Offsets for fourth corner in
// (x,y,z,w) coords
double y3 = y0 - j3 + 3.0 * G4;
double z3 = z0 - k3 + 3.0 * G4;
double w3 = w0 - l3 + 3.0 * G4;
double x4 = x0 - 1.0 + 4.0 * G4; // Offsets for last corner in (x,y,z,w)
// coords
double y4 = y0 - 1.0 + 4.0 * G4;
double z4 = z0 - 1.0 + 4.0 * G4;
double w4 = w0 - 1.0 + 4.0 * G4;
// Work out the hashed gradient indices of the five simplex corners
int ii = i & 255;
int jj = j & 255;
int kk = k & 255;
int ll = l & 255;
int gi0 = perm[ii + perm[jj + perm[kk + perm[ll]]]] % 32;
int gi1 = perm[ii + i1 + perm[jj + j1 + perm[kk + k1 + perm[ll + l1]]]] % 32;
int gi2 = perm[ii + i2 + perm[jj + j2 + perm[kk + k2 + perm[ll + l2]]]] % 32;
int gi3 = perm[ii + i3 + perm[jj + j3 + perm[kk + k3 + perm[ll + l3]]]] % 32;
int gi4 = perm[ii + 1 + perm[jj + 1 + perm[kk + 1 + perm[ll + 1]]]] % 32;
// Calculate the contribution from the five corners
double t0 = 0.6 - x0 * x0 - y0 * y0 - z0 * z0 - w0 * w0;
if (t0 < 0)
n0 = 0.0;
else {
t0 *= t0;
n0 = t0 * t0 * dot(grad4[gi0], x0, y0, z0, w0);
}
double t1 = 0.6 - x1 * x1 - y1 * y1 - z1 * z1 - w1 * w1;
if (t1 < 0)
n1 = 0.0;
else {
t1 *= t1;
n1 = t1 * t1 * dot(grad4[gi1], x1, y1, z1, w1);
}
double t2 = 0.6 - x2 * x2 - y2 * y2 - z2 * z2 - w2 * w2;
if (t2 < 0)
n2 = 0.0;
else {
t2 *= t2;
n2 = t2 * t2 * dot(grad4[gi2], x2, y2, z2, w2);
}
double t3 = 0.6 - x3 * x3 - y3 * y3 - z3 * z3 - w3 * w3;
if (t3 < 0)
n3 = 0.0;
else {
t3 *= t3;
n3 = t3 * t3 * dot(grad4[gi3], x3, y3, z3, w3);
}
double t4 = 0.6 - x4 * x4 - y4 * y4 - z4 * z4 - w4 * w4;
if (t4 < 0)
n4 = 0.0;
else {
t4 *= t4;
n4 = t4 * t4 * dot(grad4[gi4], x4, y4, z4, w4);
}
// Sum up and scale the result to cover the range [-1,1]
return 27.0 * (n0 + n1 + n2 + n3 + n4);
}
}
then this is how you use it
first pull the data
float[][] newTiles = NoiseGenerator.generateOctavedSimplexNoise(width, height,
startx, starty, 5, 0.4F, 0.003f);
then do some if statments like this
for(int x = 0;x< newTiles.length; x++){
for(int y = 0;y< newTiles[0].length; y++){
if(newTiles[x][y]<0.00F){
if(newTiles[x][y]<-0.35F){
newTileIDs[x][y] = Tile.DEEP_WATER.getID();
}else{
newTileIDs[x][y] = Tile.WATER.getID();
}
}else{
newTileIDs[x][y] = Tile.GRASS.getID();
}
}
}
if you want to see a actual example just ask
you get a output like this
the image i just showen was only a representation