[Unity] Noise

using System.Collections;
using System.Collections.Generic;
using UnityEngine;

public static class Noise {

    //lacunarity - describe the construction of fractal

    public static float [,] GenerateNoiseMap(int mapWidth, int mapHeight, int seed, float scale, int octaves, float persistance, float lacunarity, Vector2 offset)
    {
        float[,] noiseMap = new float[mapWidth, mapHeight];

        System.Random prng = new System.Random(seed);
        Vector2[] octaveOffsets = new Vector2[octaves];
        for (int i = 0; i < octaves; i++)
        {
            float offsetX = prng.Next(-100000, 100000) + offset.x;
            float offsetY = prng.Next(-100000, 100000) + offset.y;
            octaveOffsets[i] = new Vector2(offsetX, offsetY);
        }

        if(scale<=0)
        {
            scale = 0.001f;
        }

        float maxNoiseHeight = float.MinValue;
        float minNoiseHeight = float.MaxValue;

        for (int y = 0; y < mapHeight; y++)
        {
            for (int x = 0; x< mapWidth; x++)
            {
                float amplitude = 1;
                float frequency = 1;
                float noiseHeight = 0;

                for (int i = 0; i < octaves; i++)
                {
                    float sampleX = x / scale * frequency + octaveOffsets[i].x;
                    float sampleY = y / scale * frequency + octaveOffsets[i].y;

                    float perlinNoise = Mathf.PerlinNoise(sampleX, sampleY) * 2 - 1; //Returns value between 0.0 and 1.0
                                                                             // noiseMap[x, y] = perlinNoise;
                    noiseHeight += perlinNoise * amplitude;
                    amplitude *= persistance;
                    frequency *= lacunarity;
                }

                if(noiseHeight > maxNoiseHeight)
                {
                    maxNoiseHeight = noiseHeight;
                }
                else if (noiseHeight < minNoiseHeight)
                {
                    minNoiseHeight = noiseHeight;
                }

                noiseMap[x, y] = noiseHeight;
            }
        }

        for (int y = 0; y < mapHeight; y++)
        {
            for (int x = 0; x < mapWidth; x++)
            {
                noiseMap[x, y] = Mathf.InverseLerp(minNoiseHeight, maxNoiseHeight, noiseMap[x, y]);
            }
        }

        return noiseMap;
    }
}