Grimsace/RPG_City_Maker_Reborn
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changed lake roughness to make it more simliar to rivers

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Grimsace
2026-02-18 15:14:47 -06:00
parent 6227ecb3fd
commit 710c05f716
3 changed files with 32 additions and 9 deletions
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water.go
+14 -7
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@@ -47,7 +47,8 @@ func (pq *priorityQueue) Pop() any {
}
// GenerateLakes creates lakes on the map using a growth algorithm.
func GenerateLakes(width, height, numLakes int, lakeSizeLower, lakeSizeUpper float64, heightmap image.Image, seed int64) (image.Image, [][]image.Point) {
// When lakeEdgeRoughness is 0, lakes grow in perfect circles. Higher values add noise-based irregularity.
func GenerateLakes(width, height, numLakes int, lakeSizeLower, lakeSizeUpper float64, seed int64, lakeEdgeRoughness float64) (image.Image, [][]image.Point) {
// Initialize a white canvas to draw the lakes on
canvas := image.NewRGBA(image.Rect(0, 0, width, height))
draw.Draw(canvas, canvas.Bounds(), image.NewUniform(color.White), image.Point{}, draw.Src)
@@ -125,7 +126,7 @@ func GenerateLakes(width, height, numLakes int, lakeSizeLower, lakeSizeUpper flo
continue
}
// Use noise to create a more natural lake shape.
// Use noise to create a more natural lake shape (only if roughness > 0).
seedX := randSrc.Float64() * 10000.0
seedY := randSrc.Float64() * 10000.0
radius := math.Sqrt(float64(targetPixelsPerLake) / math.Pi)
@@ -134,12 +135,18 @@ func GenerateLakes(width, height, numLakes int, lakeSizeLower, lakeSizeUpper flo
getScore := func(pt image.Point) float64 {
dx, dy := pt.X-startPt.X, pt.Y-startPt.Y
dist := math.Sqrt(float64(dx*dx + dy*dy))
noise := noiseGen.Eval2(seedX+float64(dx)*noiseFreq, seedY+float64(dy)*noiseFreq)
distPenalty := math.Pow(dist/radius, 3.0)
luma, _, _, _ := heightmap.At(pt.X, pt.Y).RGBA()
heightmapVal := float64(luma) / 65535.0
heightmapEffect := (0.5 - heightmapVal) * 1.5 // Encourage growth in lower areas
return noise - distPenalty + heightmapEffect
// Only apply noise if edge roughness is requested
if lakeEdgeRoughness > 0 {
noise := noiseGen.Eval2(seedX+float64(dx)*noiseFreq, seedY+float64(dy)*noiseFreq)
// Scale noise contribution by roughness setting
noiseContribution := noise * (lakeEdgeRoughness / 100.0)
return noiseContribution - distPenalty
}
// Pure circular growth when variability is 0
return -distPenalty
}
heap.Push(pq, &lakePixel{point: startPt, score: getScore(startPt)})