1415 lines
72 KiB
JavaScript
1415 lines
72 KiB
JavaScript
import { INF, MAP_H, MAP_W, SIZE, MinHeap, clamp, fbm, hash2, indexOf, inside, nearMapEdge, pickEntities, rand, valueNoise, xyOf } from "./mapUtils.js";
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import {
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aStar,
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averagePathField,
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compactPathArray,
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distanceToNearest,
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getDegree,
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incrementDegree,
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influenceFromPaths,
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influenceFromPoints,
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makeTransportCost,
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nearestConnectable,
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neighbors8,
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pathCompactness,
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pathEndpointDistance,
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pathLength,
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pathOverlapRatio,
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samplePath,
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smoothPathByLineOfSight,
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} from "./mapGeneratorHelpers.js";
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export function generateMapFeatures(seed, terrain) {
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const {
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elevation,
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moisture,
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slope,
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sea,
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river,
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floodplain,
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plain,
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agriculture,
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ridgeField,
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valleyField,
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basinField,
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coastalLowland,
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flowAccum,
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arcSpineField,
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branchRidgeField,
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depositionalLowland,
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alluvialFanField,
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deltaField,
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portSuitability,
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crossingSuitability,
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passSuitability,
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prefectureMask,
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} = terrain;
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function pickPoints(scoreArray, { threshold, max, minDistance, seedOffset = 0, predicate = () => true }) {
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const candidates = [];
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for (let y = 2; y < MAP_H - 2; y++) {
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for (let x = 2; x < MAP_W - 2; x++) {
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const i = indexOf(x, y);
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if (!predicate(x, y, i)) continue;
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const score = scoreArray[i] + hash2(x, y, seed + seedOffset) * 0.08;
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if (score >= threshold) candidates.push({ x, y, score });
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}
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}
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return pickEntities(candidates, { max, minDistance, threshold, seed: seed + seedOffset });
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}
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let ports = pickPoints(portSuitability, {
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threshold: 0.3 + rand(seed, 1001) * 0.08,
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max: 3 + Math.floor(rand(seed, 1002) * 7),
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minDistance: 10,
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seedOffset: 1000,
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predicate: (x, y, i) => !sea[i],
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}).map((p) => {
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const i = indexOf(p.x, p.y);
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let seaEdge = 0;
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for (let dy = -3; dy <= 3; dy++) for (let dx = -3; dx <= 3; dx++) {
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const nx = p.x + dx;
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const ny = p.y + dy;
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if (inside(nx, ny) && sea[indexOf(nx, ny)]) seaEdge += 1 / (1 + Math.hypot(dx, dy));
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}
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const harborPotential = p.score + coastalLowland[i] * 0.28 + river[i] * 0.08 + seaEdge * 0.025 - slope[i] * 0.2;
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return { ...p, harborPotential, seaEdge, portClass: "fishing", kind: "Fishing Port" };
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}).sort((a, b) => b.harborPotential - a.harborPotential)
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.map((p, n) => {
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const isLakeLike = p.seaEdge < 0.25 && river[indexOf(p.x, p.y)] > 0.32;
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const portClass = isLakeLike ? "lake" : n === 0 ? "major" : n < 3 && p.harborPotential > 0.34 ? "regional" : "fishing";
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const kind = portClass === "major" ? "Major Port" : portClass === "regional" ? "Regional Port" : portClass === "lake" ? "Lake Port" : "Fishing Port";
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return { ...p, portClass, kind, score: p.harborPotential };
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});
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if (!ports.some((p) => p.portClass === "major")) {
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const fallbackMajor = ports.find((p) => p.portClass !== "lake") || ports[0];
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if (fallbackMajor) {
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fallbackMajor.portClass = "major";
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fallbackMajor.kind = "Major Port";
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fallbackMajor.score += 0.16;
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}
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}
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const majorPorts = ports.filter((p) => p.portClass === "major");
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const commercialPorts = ports.filter((p) => p.portClass === "major" || p.portClass === "regional");
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let crossings = pickPoints(crossingSuitability, {
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threshold: 0.28 + rand(seed, 1011) * 0.08,
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max: 8 + Math.floor(rand(seed, 1012) * 15),
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minDistance: 8,
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seedOffset: 1010,
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predicate: (x, y, i) => !sea[i],
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}).map((p) => ({ ...p, kind: "River Crossing" }));
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let passes = pickPoints(passSuitability, {
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threshold: 0.16 + rand(seed, 1021) * 0.08,
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max: 4 + Math.floor(rand(seed, 1022) * 10),
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minDistance: 9,
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seedOffset: 1020,
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predicate: (x, y, i) => !sea[i],
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}).map((p) => ({ ...p, kind: "Pass" }));
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const settlementCluster = new Float32Array(SIZE);
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for (let y = 2; y < MAP_H - 2; y++) {
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for (let x = 2; x < MAP_W - 2; x++) {
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const i = indexOf(x, y);
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if (sea[i]) continue;
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const depositional = (depositionalLowland?.[i] || 0) + (alluvialFanField?.[i] || 0) * 0.65 + (deltaField?.[i] || 0) * 0.85;
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const spineBarrier = (arcSpineField?.[i] || 0) * 0.62 + (branchRidgeField?.[i] || 0) * 0.42;
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const valleyCorridor = clamp(valleyField[i] * 0.62 + river[i] * 0.16);
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const lowlandCorridor = clamp(coastalLowland[i] * 0.38 + basinField[i] * 0.34 + plain[i] * 0.24 + agriculture[i] * 0.18 + depositional * 0.22);
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const terrainGate = clamp(1.0 - slope[i] * 1.18 - ridgeField[i] * 0.52 - spineBarrier * 0.34 - Math.max(0, elevation[i] - 0.62) * 1.35, 0.08, 1);
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const localPatch = valueNoise(x * 0.7, y * 0.7, seed + 1037, 10);
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const broadPatch = fbm(x * 0.32 + 71, y * 0.32 - 19, seed + 1038);
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settlementCluster[i] = clamp((valleyCorridor + lowlandCorridor) * terrainGate * (0.72 + broadPatch * 0.42 + localPatch * 0.18));
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}
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}
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const settlementScore = new Float32Array(SIZE);
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for (let y = 2; y < MAP_H - 2; y++) {
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for (let x = 2; x < MAP_W - 2; x++) {
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const i = indexOf(x, y);
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if (sea[i]) continue;
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let nearFeature = 0;
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for (const p of [...ports, ...crossings, ...passes]) nearFeature = Math.max(nearFeature, 1 / (1 + Math.hypot(x - p.x, y - p.y) / 4));
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const depositional = (depositionalLowland?.[i] || 0) + (alluvialFanField?.[i] || 0) * 0.62 + (deltaField?.[i] || 0) * 0.95;
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const spineBarrier = (arcSpineField?.[i] || 0) * 0.48 + (branchRidgeField?.[i] || 0) * 0.34;
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const riverPull = Math.min(0.36, river[i] * 0.14 + valleyField[i] * 0.16 + depositional * 0.08);
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const mountainVillage = valleyField[i] * clamp(elevation[i] - 0.42, 0, 0.3) * 0.52;
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const remoteMountainPenalty = Math.max(0, elevation[i] - 0.58) * Math.max(0, ridgeField[i] + spineBarrier - 0.22) * (1 - valleyField[i]) * 0.75;
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const base = agriculture[i] * 0.50 + plain[i] * 0.14 + nearFeature * 0.23 + riverPull + basinField[i] * 0.13 + coastalLowland[i] * 0.08 + depositional * 0.13 + mountainVillage - slope[i] * 0.48 - ridgeField[i] * 0.24 - spineBarrier * 0.12 - floodplain[i] * 0.06 - remoteMountainPenalty;
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settlementScore[i] = clamp(base * (0.74 + settlementCluster[i] * 0.66) + settlementCluster[i] * 0.13);
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}
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}
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let villages = pickPoints(settlementScore, {
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threshold: 0.32 + rand(seed, 1031) * 0.1,
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max: 28 + Math.floor(rand(seed, 1032) * 44),
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minDistance: 3 + Math.floor(rand(seed, 1033) * 3),
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seedOffset: 1030,
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predicate: (x, y, i) => !sea[i],
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}).map((p) => ({ ...p, kind: "Village" }));
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const marketScore = new Float32Array(SIZE);
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for (let y = 4; y < MAP_H - 4; y++) {
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for (let x = 4; x < MAP_W - 4; x++) {
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const i = indexOf(x, y);
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if (sea[i]) continue;
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let villagePull = 0;
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let nearbyVillages = 0;
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for (const v of villages) {
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const d = Math.hypot(x - v.x, y - v.y);
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if (d < 24) {
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villagePull += 1 / (1 + d);
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nearbyVillages++;
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}
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}
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let featurePull = 0;
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for (const p of [...ports, ...crossings]) featurePull = Math.max(featurePull, 1 / (1 + Math.hypot(x - p.x, y - p.y) / 3));
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const confluence = river[i] > 0.36 && valleyField[i] > 0.24 ? 0.12 : 0;
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marketScore[i] = clamp(villagePull * 1.25 + featurePull * 0.34 + plain[i] * 0.2 + basinField[i] * 0.16 + (depositionalLowland?.[i] || 0) * 0.10 + (deltaField?.[i] || 0) * 0.08 + confluence + coastalLowland[i] * 0.08 + river[i] * 0.035 - slope[i] * 0.32 - ridgeField[i] * 0.18 - (arcSpineField?.[i] || 0) * 0.08 + nearbyVillages * 0.012);
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}
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}
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let markets = pickPoints(marketScore, {
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threshold: 0.2 + rand(seed, 1041) * 0.08,
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max: 6 + Math.floor(rand(seed, 1042) * 12),
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minDistance: 11,
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seedOffset: 1040,
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predicate: (x, y, i) => !sea[i],
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}).map((p) => ({ ...p, kind: "Market Town" }));
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const defenseScore = new Float32Array(SIZE);
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for (let y = 3; y < MAP_H - 3; y++) {
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for (let x = 3; x < MAP_W - 3; x++) {
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const i = indexOf(x, y);
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if (sea[i]) continue;
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const hillShoulder = clamp(1 - Math.abs(elevation[i] - 0.50) / 0.24);
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let riverArms = 0;
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for (const [nx, ny] of neighbors8(x, y)) if (river[indexOf(nx, ny)] > 0.32) riverArms++;
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const confluence = riverArms >= 3 ? 0.38 : riverArms === 2 ? 0.18 : 0;
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const roadJunctionProxy = (
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(distanceToNearest(markets, x, y) < 7 ? 1 : 0) +
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(distanceToNearest(crossings, x, y) < 6 ? 1 : 0) +
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(distanceToNearest(passes, x, y) < 7 ? 1 : 0) +
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(distanceToNearest(commercialPorts, x, y) < 8 ? 1 : 0)
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) >= 2 ? 0.32 : 0;
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const hillEdge = plain[i] > 0.2 && elevation[i] > 0.36 && elevation[i] < 0.62 && (slope[i] > 0.12 || ridgeField[i] > 0.12) ? 0.3 : 0;
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const mountainRidgeCastle = elevation[i] > 0.56 && ridgeField[i] > 0.3 && valleyField[i] > 0.1 ? 0.28 : 0;
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const validCastleSite = confluence > 0 || roadJunctionProxy > 0 || hillEdge > 0 || mountainRidgeCastle > 0;
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defenseScore[i] = validCastleSite
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? clamp(hillShoulder * 0.28 + confluence + roadJunctionProxy + hillEdge + mountainRidgeCastle + slope[i] * 0.05 - floodplain[i] * 0.42 - coastalLowland[i] * 0.12)
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: 0;
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}
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}
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let castles = pickPoints(defenseScore, {
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threshold: 0.34 + rand(seed, 1051) * 0.08,
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max: 2 + Math.floor(rand(seed, 1052) * 4),
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minDistance: 15,
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seedOffset: 1050,
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predicate: (x, y, i) => !sea[i] && defenseScore[i] > 0,
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}).map((p) => ({
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...p,
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kind: elevation[indexOf(p.x, p.y)] > 0.55 ? "Mountain Castle" : elevation[indexOf(p.x, p.y)] > 0.38 ? "Hilltop Castle" : "Flatland Castle",
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}));
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function normalEdgePenalty(x, y) {
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if (nearMapEdge(x, y, 1)) return INF;
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if (nearMapEdge(x, y, 2)) return 7;
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if (nearMapEdge(x, y, 4)) return 2.8;
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return 0;
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}
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function premodernCost(x, y) {
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const i = indexOf(x, y);
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if (sea[i]) return INF;
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const crossingBonus = distanceToNearest(crossings, x, y) < 4 ? 0.65 : 0;
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const passBonus = distanceToNearest(passes, x, y) < 4 ? 0.45 : 0;
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const riverPenalty = river[i] > 0.28 ? (crossingBonus ? 0.45 : 2.4) : 0;
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const highMountain = elevation[i] > 0.72 ? 4.2 : elevation[i] > 0.58 ? 1.4 : 0;
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return Math.max(0.35, 1 + slope[i] * 5.8 + riverPenalty + highMountain + floodplain[i] * 0.62 - plain[i] * 0.32 - valleyField[i] * 0.42 - coastalLowland[i] * 0.12 - passBonus + normalEdgePenalty(x, y) + hash2(x, y, seed + 111) * 0.16);
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}
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const premodernRoads = [];
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function addPremodernRoad(a, b) {
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const path = aStar(a, b, premodernCost);
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if (path.length > 3) premodernRoads.push(path);
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}
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for (const castle of castles) {
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const near = pickEntities([...markets, ...ports, ...crossings, ...passes].map((p) => ({ ...p, score: 1 / (1 + Math.hypot(p.x - castle.x, p.y - castle.y)) })), { max: 2 + Math.floor(rand(seed, castle.x + castle.y) * 3), minDistance: 1, threshold: 0 });
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for (const p of near) addPremodernRoad(castle, p);
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}
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for (const market of markets) {
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const near = pickEntities([...markets.filter((p) => p !== market), ...ports, ...crossings].map((p) => ({ ...p, score: 1 / (1 + Math.hypot(p.x - market.x, p.y - market.y)) })), { max: 1 + Math.floor(rand(seed, market.x + market.y + 20) * 3), minDistance: 1, threshold: 0 });
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for (const p of near) addPremodernRoad(market, p);
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}
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function urbanSiteSuitability(p) {
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const i = indexOf(p.x, p.y);
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if (sea[i]) return 0;
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const portBonus = p.kind === "Port Town" || p.portClass === "major" || p.portClass === "regional" ? 0.18 : 0;
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const historicalBonus = p.kind === "Market City" || p.kind === "Castle Town" ? 0.05 : 0;
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return clamp(
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plain[i] * 0.46 +
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agriculture[i] * 0.18 +
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basinField[i] * 0.20 +
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coastalLowland[i] * 0.20 +
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valleyField[i] * 0.12 +
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portBonus + historicalBonus -
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slope[i] * 0.58 -
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ridgeField[i] * 0.34 -
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Math.max(0, elevation[i] - 0.55) * 1.35
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);
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}
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function cityPopulationCap(p) {
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const i = indexOf(p.x, p.y);
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const suitability = urbanSiteSuitability(p);
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if (suitability < 0.18 || elevation[i] > 0.66 || slope[i] > 0.82 || ridgeField[i] > 0.72) return 85000;
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if (suitability < 0.28 || elevation[i] > 0.60 || slope[i] > 0.62) return 180000;
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if (suitability < 0.38) return 420000;
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return INF;
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}
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let castleTowns = castles.map((c) => ({ x: c.x, y: c.y, score: c.score + 0.45, kind: "Castle Town" }));
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const cityCandidates = [
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...castleTowns.map((p) => ({ ...p, score: p.score + 0.4 })),
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...ports.map((p) => ({ ...p, kind: "Port Town", score: p.score + 0.28 })),
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...markets.map((p) => ({ ...p, kind: "Market City", score: p.score + 0.12 })),
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].map((p) => {
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const i = indexOf(p.x, p.y);
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const suitability = urbanSiteSuitability(p);
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return {
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...p,
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urbanSuitability: suitability,
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score: p.score + suitability * 0.72 - slope[i] * 0.20 - ridgeField[i] * 0.16 - Math.max(0, elevation[i] - 0.58) * 0.78,
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};
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}).filter((p) => p.urbanSuitability >= 0.10 || p.kind === "Castle Town");
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let modernCities = pickEntities(cityCandidates, {
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max: 7 + Math.floor(rand(seed, 1061) * 10),
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minDistance: 9,
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threshold: 0.33 + rand(seed, 1062) * 0.12,
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seed: seed + 1060,
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}).map((p, n) => {
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const rank = n === 0 ? "Prefectural Capital" : n < 4 ? "Regional Center" : "Small City";
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const r = rand(seed, 1600 + n * 13 + p.x * 3 + p.y);
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const rawScale = Math.pow(1 - n / Math.max(1, cityCandidates.length + 1), 1.55) * 0.58 + Math.pow(r, 3.4) * 0.42;
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const rankBase = rank === "Prefectural Capital" ? 420000 : rank === "Regional Center" ? 115000 : 26000;
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const rankSpread = rank === "Prefectural Capital" ? 1450000 : rank === "Regional Center" ? 520000 : 185000;
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const pi = indexOf(p.x, p.y);
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const suitability = p.urbanSuitability ?? urbanSiteSuitability(p);
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const geographyBoost = clamp(plain[pi] * 0.34 + agriculture[pi] * 0.18 + basinField[pi] * 0.2 + coastalLowland[pi] * 0.18 + valleyField[pi] * 0.12 + suitability * 0.24 + (p.kind === "Port Town" ? 0.22 : 0));
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const rawPopulation = Math.round((rankBase + rankSpread * Math.pow(rawScale + geographyBoost * 0.18, 1.75)) / 1000) * 1000;
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const population = Math.min(rawPopulation, cityPopulationCap(p));
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const urbanRadius = clamp(7.5 + Math.sqrt(population) / 80 + (rank === "Prefectural Capital" ? 3.0 : rank === "Regional Center" ? 1.5 : 0), 8, 32);
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const coreRadius = clamp(2.6 + Math.sqrt(population) / 320, 3, 9);
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const urbanWeight = clamp(0.74 + Math.log10(Math.max(10000, population)) * 0.36, 1.15, 3.05);
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return { ...p, population, urbanRadius, coreRadius, urbanWeight, rank, kind: p.kind || "City" };
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});
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function fallbackCapitalCandidate() {
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const pools = [...markets, ...ports, ...villages].filter((p) => p && prefectureMask[indexOf(p.x, p.y)] && !sea[indexOf(p.x, p.y)]);
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let best = null;
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let bestScore = -INF;
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for (const p of pools) {
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const i = indexOf(p.x, p.y);
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const score = urbanSiteSuitability(p) * 1.6 + plain[i] * 0.32 + populationDensityProxyForCapital(i) + (p.kind?.includes("Port") ? 0.18 : 0) + (p.score || 0);
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if (score > bestScore) { bestScore = score; best = p; }
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}
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if (best) return { ...best, kind: "Market City", population: 360000, urbanRadius: 15, coreRadius: 4.6, urbanWeight: 1.9, score: bestScore };
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for (let y = 4; y < MAP_H - 4; y++) {
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for (let x = 4; x < MAP_W - 4; x++) {
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const i = indexOf(x, y);
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if (!prefectureMask[i] || sea[i]) continue;
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const score = plain[i] * 0.72 + agriculture[i] * 0.24 + basinField[i] * 0.18 + coastalLowland[i] * 0.14 - slope[i] * 0.72 - ridgeField[i] * 0.32;
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if (score > bestScore) { bestScore = score; best = { x, y, score, kind: "Market City" }; }
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}
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}
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return best ? { ...best, population: 320000, urbanRadius: 14, coreRadius: 4.2, urbanWeight: 1.7 } : null;
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}
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function populationDensityProxyForCapital(i) {
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return settlementScore[i] * 0.18 + marketScore[i] * 0.12;
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}
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if (modernCities.length === 0 || !modernCities.some((city) => prefectureMask[indexOf(city.x, city.y)])) {
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const fallbackCapital = fallbackCapitalCandidate();
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if (fallbackCapital) modernCities.unshift(fallbackCapital);
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}
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if (modernCities.length > 0) {
|
|
modernCities.sort((a, b) => (b.population || 0) + b.score * 90000 - ((a.population || 0) + a.score * 90000));
|
|
let capitalIndex = -1;
|
|
let capitalScore = -INF;
|
|
for (let i = 0; i < modernCities.length; i++) {
|
|
const city = modernCities[i];
|
|
const ci = indexOf(city.x, city.y);
|
|
if (!prefectureMask[ci] || sea[ci]) continue;
|
|
const suitability = urbanSiteSuitability(city);
|
|
const score = suitability * 900000 + (city.population || 0) * 0.55 + (city.score || 0) * 120000 - slope[ci] * 180000 - Math.max(0, elevation[ci] - 0.58) * 360000;
|
|
if (score > capitalScore) { capitalScore = score; capitalIndex = i; }
|
|
}
|
|
if (capitalIndex > 0) modernCities.unshift(modernCities.splice(capitalIndex, 1)[0]);
|
|
const capCell = indexOf(modernCities[0].x, modernCities[0].y);
|
|
const capPopulation = prefectureMask[capCell]
|
|
? Math.max(modernCities[0].population || 0, 620000)
|
|
: Math.min(modernCities[0].population || 0, 180000);
|
|
modernCities[0] = {
|
|
...modernCities[0],
|
|
rank: prefectureMask[capCell] ? "Prefectural Capital" : "Regional Center",
|
|
kind: prefectureMask[capCell] ? "Prefectural Capital" : (modernCities[0].kind || "City"),
|
|
isPrefecturalCapital: Boolean(prefectureMask[capCell]),
|
|
population: capPopulation,
|
|
urbanRadius: prefectureMask[capCell] ? Math.max(modernCities[0].urbanRadius || 0, 18) : modernCities[0].urbanRadius,
|
|
coreRadius: prefectureMask[capCell] ? Math.max(modernCities[0].coreRadius || 0, 5.5) : modernCities[0].coreRadius,
|
|
urbanWeight: prefectureMask[capCell] ? Math.max(modernCities[0].urbanWeight || 0, 2.15) : modernCities[0].urbanWeight,
|
|
};
|
|
for (let i = 1; i < modernCities.length; i++) modernCities[i] = { ...modernCities[i], isPrefecturalCapital: false };
|
|
}
|
|
|
|
const capital = modernCities.find((city) => city.isPrefecturalCapital && prefectureMask[indexOf(city.x, city.y)]) || modernCities.find((city) => prefectureMask[indexOf(city.x, city.y)]) || markets.find((p) => prefectureMask[indexOf(p.x, p.y)]) || ports.find((p) => prefectureMask[indexOf(p.x, p.y)]) || { x: Math.floor(MAP_W / 2), y: Math.floor(MAP_H / 2), score: 1, population: 0, urbanRadius: 12, coreRadius: 4, urbanWeight: 1, isPrefecturalCapital: true };
|
|
|
|
const populationDensity = new Float32Array(SIZE);
|
|
let maxPopulationDensity = 0;
|
|
for (let y = 0; y < MAP_H; y++) {
|
|
for (let x = 0; x < MAP_W; x++) {
|
|
const i = indexOf(x, y);
|
|
if (sea[i]) continue;
|
|
let density = 0;
|
|
for (const city of modernCities) {
|
|
const populationScale = clamp((Math.log10(Math.max(10000, city.population || 10000)) - 4) / 2.25, 0.12, 1.55);
|
|
const d = Math.hypot(city.x - x, city.y - y);
|
|
const urbanR = Math.max(5, city.urbanRadius || 11);
|
|
const coreR = Math.max(2.4, city.coreRadius || 4);
|
|
density += populationScale * 1.55 / (1 + Math.pow(d / urbanR, 2.35));
|
|
density += populationScale * 1.05 * Math.exp(-(d * d) / (coreR * coreR * 2.2));
|
|
}
|
|
for (const market of markets) {
|
|
const d = Math.hypot(market.x - x, market.y - y);
|
|
density += 0.22 / (1 + Math.pow(d / 7.5, 2.2));
|
|
}
|
|
for (const village of villages) {
|
|
const d = Math.hypot(village.x - x, village.y - y);
|
|
density += 0.055 / (1 + Math.pow(d / 4.2, 2));
|
|
}
|
|
density *= clamp(0.48 + plain[i] * 0.62 + agriculture[i] * 0.14 + basinField[i] * 0.22 + coastalLowland[i] * 0.18 + valleyField[i] * 0.1 - slope[i] * 1.05 - ridgeField[i] * 0.48 - Math.max(0, elevation[i] - 0.58) * 1.05, 0.018, 1.22);
|
|
populationDensity[i] = density;
|
|
if (density > maxPopulationDensity) maxPopulationDensity = density;
|
|
}
|
|
}
|
|
if (maxPopulationDensity > 0) {
|
|
for (let i = 0; i < SIZE; i++) populationDensity[i] = clamp(populationDensity[i] / maxPopulationDensity);
|
|
}
|
|
|
|
function densityValue(x, y) {
|
|
return populationDensity[indexOf(x, y)] || 0;
|
|
}
|
|
|
|
function midDensityAffinity(x, y) {
|
|
const d = densityValue(x, y);
|
|
return clamp(1 - Math.abs(d - 0.38) / 0.38);
|
|
}
|
|
|
|
function nearPassPoint(x, y, radius = 5) {
|
|
return distanceToNearest(passes, x, y) <= radius;
|
|
}
|
|
|
|
function mountainBarrierPenalty(x, y, type = "rail") {
|
|
const i = indexOf(x, y);
|
|
const e = elevation[i];
|
|
const s = slope[i];
|
|
const pass = nearPassPoint(x, y, type === "express" ? 7 : type === "rail" ? 6 : 5);
|
|
if (e > 0.84) return INF;
|
|
if (pass && e > 0.80 && s > 0.16) return INF;
|
|
if (!pass && e > 0.78) return INF;
|
|
if (!pass && e > 0.70 && s > 0.16) return INF;
|
|
if (!pass && e > 0.66 && s > 0.28) return INF;
|
|
if (!pass && e > 0.72) return type === "express" ? 260 : type === "rail" ? 330 : type === "minor" ? 80 : 155;
|
|
if (!pass && e > 0.64 && s > 0.20) return type === "express" ? 145 : type === "rail" ? 180 : type === "minor" ? 54 : 96;
|
|
const passDiscount = pass ? (type === "minor" ? 0.35 : 0.22) : 1;
|
|
const mountain = Math.max(0, e - 0.48);
|
|
const steep = Math.max(0, s - 0.15);
|
|
const typeFactor = type === "express" ? 360 : type === "rail" ? 430 : type === "minor" ? 115 : 210;
|
|
return (mountain * mountain * typeFactor + steep * steep * 150 + ridgeField[i] * 9.5) * passDiscount;
|
|
}
|
|
|
|
function transportAccessPoint(node, mode = "road", salt = 0) {
|
|
if (!node || nearMapEdge(node.x, node.y, 1) || node.kind === "External Gateway") return node;
|
|
const minR = mode === "express" ? 10 : mode === "rail" ? 2 : 4;
|
|
const maxR = mode === "express" ? 20 : mode === "rail" ? 6 : 10;
|
|
let best = null;
|
|
let bestScore = -INF;
|
|
for (let dy = -maxR; dy <= maxR; dy++) {
|
|
for (let dx = -maxR; dx <= maxR; dx++) {
|
|
const d = Math.hypot(dx, dy);
|
|
if (d < minR || d > maxR) continue;
|
|
const x = node.x + dx;
|
|
const y = node.y + dy;
|
|
if (!inside(x, y)) continue;
|
|
const i = indexOf(x, y);
|
|
if (sea[i]) continue;
|
|
const barrier = mode === "express" || mode === "rail" ? mountainBarrierPenalty(x, y, mode) : mountainBarrierPenalty(x, y, "road");
|
|
if (barrier >= INF) continue;
|
|
const targetD = (minR + maxR) * 0.5;
|
|
const flatness = plain[i] * 1.0 + agriculture[i] * 0.2 + valleyField[i] * 0.26 + coastalLowland[i] * 0.16 - slope[i] * 1.22 - ridgeField[i] * 0.72 - Math.max(0, elevation[i] - 0.58) * 2.35;
|
|
const ring = -Math.abs(d - targetD) * 0.08;
|
|
const riverPenalty = river[i] > 0.5 ? 0.45 : river[i] * 0.12;
|
|
const density = densityValue(x, y);
|
|
const densityAffinity = mode === "rail" ? density * 0.9 : mode === "express" ? midDensityAffinity(x, y) * 0.52 - Math.max(0, density - 0.72) * 0.9 : density * 0.24;
|
|
const noise = hash2(x, y, seed + salt + (mode === "rail" ? 6000 : mode === "express" ? 7000 : 5000)) * 0.12;
|
|
const score = flatness + densityAffinity + ring - riverPenalty - barrier * 0.012 + noise;
|
|
if (score > bestScore) {
|
|
bestScore = score;
|
|
best = { x, y, score: node.score || 0.5, kind: `${mode} Access`, parent: node };
|
|
}
|
|
}
|
|
}
|
|
return best || node;
|
|
}
|
|
|
|
function routePoint(node, mode, salt = 0) {
|
|
return transportAccessPoint(node, mode, salt);
|
|
}
|
|
|
|
const townAvoidNodes = [...modernCities, ...markets, ...ports];
|
|
|
|
const urbanCenters = modernCities.map((city, n) => {
|
|
let best = { x: city.x, y: city.y, score: city.score + 0.5 };
|
|
let bestScore = -INF;
|
|
const searchR = Math.max(2, Math.round(city.coreRadius));
|
|
for (let dy = -searchR; dy <= searchR; dy++) {
|
|
for (let dx = -searchR; dx <= searchR; dx++) {
|
|
const x = city.x + dx;
|
|
const y = city.y + dy;
|
|
if (!inside(x, y)) continue;
|
|
const i = indexOf(x, y);
|
|
if (sea[i]) continue;
|
|
const d = Math.hypot(dx, dy);
|
|
const score = plain[i] * 0.54 + agriculture[i] * 0.16 - slope[i] * 0.36 - d * 0.06 + hash2(x, y, seed + 1700 + n) * 0.07;
|
|
if (score > bestScore) { bestScore = score; best = { x, y, score: city.score + 0.5, cityIndex: n, parent: city }; }
|
|
}
|
|
}
|
|
return { ...best, kind: city.rank === "Prefectural Capital" ? "Central Business District" : "Urban Center", population: Math.round(city.population * (city.rank === "Prefectural Capital" ? 0.18 : 0.12)), insidePrefecture: Boolean(prefectureMask[indexOf(best.x, best.y)]) };
|
|
});
|
|
|
|
function railCost(x, y) {
|
|
const i = indexOf(x, y);
|
|
if (sea[i]) return INF;
|
|
const barrier = mountainBarrierPenalty(x, y, "rail");
|
|
if (barrier >= INF) return INF;
|
|
const density = densityValue(x, y);
|
|
const highPenalty = Math.max(0, elevation[i] - 0.52) * 14 + barrier;
|
|
const riverPenalty = river[i] > 0.5 ? 1.6 : river[i] > 0.25 ? 0.7 : 0;
|
|
return Math.max(0.42, 1 + slope[i] * 22 + highPenalty + riverPenalty + floodplain[i] * 0.28 - density * 0.88 - plain[i] * 0.28 - valleyField[i] * 0.62 - coastalLowland[i] * 0.48 + ridgeField[i] * 1.4 + normalEdgePenalty(x, y) + hash2(x, y, seed + 222) * 0.08);
|
|
}
|
|
|
|
const railways = [];
|
|
const branchRailways = [];
|
|
const railDegree = new Map();
|
|
const railCore = [capital];
|
|
const railHubs = [...modernCities, ...commercialPorts];
|
|
|
|
function addRailRoute(a, b, bucket = railways) {
|
|
const start = routePoint(a, "rail", a.x * 19 + a.y * 23);
|
|
const goal = routePoint(b, "rail", b.x * 19 + b.y * 23 + 11);
|
|
const existingRails = [...railways, ...branchRailways];
|
|
const cost = makeTransportCost(railCost, existingRails, railHubs, [start, goal], 5, 10.5, townAvoidNodes, 2.4, 4.2);
|
|
const path = aStar(start, goal, cost);
|
|
const length = pathLength(path);
|
|
const direct = pathEndpointDistance(path);
|
|
const overlap = pathOverlapRatio(path, existingRails, 2);
|
|
const densityPurpose = averagePathField(path, populationDensity) + averagePathField(path, plain) * 0.28 + averagePathField(path, valleyField) * 0.2;
|
|
const isMain = bucket === railways;
|
|
if (path.length > 3 && direct >= (isMain ? 18 : 12) && length >= (isMain ? 22 : 14) && pathCompactness(path) < (isMain ? 3.1 : 3.4) && overlap < (isMain ? 0.30 : 0.20) && densityPurpose > (isMain ? 0.18 : 0.12)) {
|
|
bucket.push(path);
|
|
incrementDegree(railDegree, a);
|
|
incrementDegree(railDegree, b);
|
|
return true;
|
|
}
|
|
return false;
|
|
}
|
|
|
|
const transportCities = modernCities.filter((city) => (city.population || 0) >= 120000);
|
|
const mainRailTargets = transportCities.filter((city) => city !== capital).slice(0, 2 + Math.floor(rand(seed, 1070) * 3));
|
|
for (const city of mainRailTargets) {
|
|
const anchor = nearestConnectable(railCore, city, railDegree, 3) || capital;
|
|
if (addRailRoute(anchor, city, railways)) railCore.push(city);
|
|
}
|
|
for (const city of modernCities.filter((city) => city !== capital && !mainRailTargets.includes(city))) {
|
|
const anchor = nearestConnectable(railCore, city, railDegree, 2) || capital;
|
|
if (anchor && rand(seed, city.x * 10 + city.y) > 0.2) {
|
|
if (addRailRoute(city, anchor, branchRailways)) railCore.push(city);
|
|
}
|
|
}
|
|
for (const port of majorPorts.slice(0, 1 + Math.floor(rand(seed, 1071) * 2))) {
|
|
const anchor = nearestConnectable(railCore, port, railDegree, 2) || capital;
|
|
if (anchor && addRailRoute(port, anchor, branchRailways)) railCore.push(port);
|
|
}
|
|
|
|
compactPathArray(railways, { minLength: 17, maxOverlap: 0.34, maxCount: 5 });
|
|
compactPathArray(branchRailways, { minLength: 11, maxOverlap: 0.22, maxCount: 9 });
|
|
|
|
const railInfluence = influenceFromPaths([...railways, ...branchRailways], 5);
|
|
const stationCandidates = [
|
|
...modernCities.map((p, i) => ({ ...routePoint(p, "rail", 1900 + i), score: p.score + 0.46, kind: "Major Station", population: p.population })),
|
|
...railways.flatMap((path) => samplePath(path, 18 + Math.floor(rand(seed, path.length) * 14))).map((p) => ({ ...p, kind: "Station", score: 0.52 + agriculture[indexOf(p.x, p.y)] * 0.2 })),
|
|
...branchRailways.flatMap((path) => samplePath(path, 16 + Math.floor(rand(seed, path.length + 99) * 14))).map((p) => ({ ...p, kind: "Station", score: 0.42 + agriculture[indexOf(p.x, p.y)] * 0.2 })),
|
|
];
|
|
|
|
let stations = pickEntities(stationCandidates, { max: 14 + Math.floor(rand(seed, 1080) * 22), minDistance: 6, threshold: 0.38, seed: seed + 1080 });
|
|
|
|
const industrialScore = new Float32Array(SIZE);
|
|
for (let y = 4; y < MAP_H - 4; y++) {
|
|
for (let x = 4; x < MAP_W - 4; x++) {
|
|
const i = indexOf(x, y);
|
|
if (sea[i]) continue;
|
|
const nearPort = 1 / (1 + distanceToNearest(majorPorts.length ? majorPorts : commercialPorts, x, y) / 5);
|
|
const nearCity = distanceToNearest(modernCities, x, y);
|
|
const cityEdge = nearCity > 5 && nearCity < 20 ? 0.22 : nearCity <= 5 ? -0.25 : 0;
|
|
industrialScore[i] = clamp(plain[i] * 0.24 + coastalLowland[i] * 0.24 + railInfluence[i] * 0.38 + nearPort * 0.58 + river[i] * 0.04 + cityEdge - slope[i] * 0.36 - ridgeField[i] * 0.18 - floodplain[i] * 0.03);
|
|
}
|
|
}
|
|
|
|
let industrialZones = pickPoints(industrialScore, {
|
|
threshold: 0.31 + rand(seed, 1091) * 0.09,
|
|
max: 4 + Math.floor(rand(seed, 1092) * 13),
|
|
minDistance: 10,
|
|
seedOffset: 1090,
|
|
predicate: (x, y, i) => !sea[i],
|
|
}).map((p) => ({ ...p, kind: "Industrial Zone" }));
|
|
|
|
function roadCost(x, y) {
|
|
const i = indexOf(x, y);
|
|
if (sea[i]) return INF;
|
|
const barrier = mountainBarrierPenalty(x, y, "road");
|
|
if (barrier >= INF) return INF;
|
|
const density = densityValue(x, y);
|
|
const nodeAvoid = distanceToNearest(townAvoidNodes, x, y) < 2.2 ? 2.0 : 0;
|
|
return Math.max(0.35, 1 + slope[i] * 17.8 + barrier + Math.max(0, elevation[i] - 0.54) * 9.2 + nodeAvoid + (river[i] > 0.45 ? 0.85 : 0) + floodplain[i] * 0.22 - density * 0.50 - plain[i] * 0.22 - valleyField[i] * 0.28 - coastalLowland[i] * 0.20 + ridgeField[i] * 1.15 + normalEdgePenalty(x, y) + hash2(x, y, seed + 333) * 0.08);
|
|
}
|
|
|
|
function expresswayCost(x, y) {
|
|
const i = indexOf(x, y);
|
|
if (sea[i]) return INF;
|
|
const barrier = mountainBarrierPenalty(x, y, "express");
|
|
if (barrier >= INF) return INF;
|
|
const density = densityValue(x, y);
|
|
const midDensity = midDensityAffinity(x, y);
|
|
const cityDistance = distanceToNearest(modernCities, x, y);
|
|
const cityAvoid = cityDistance < 5 ? 22.0 : cityDistance < 9 ? 11.0 : cityDistance < 13 ? 4.0 : distanceToNearest(markets, x, y) < 4 ? 3.2 : 0;
|
|
const densityPenalty = density > 0.66 ? (density - 0.66) * 9.5 : density < 0.08 ? (0.08 - density) * 2.4 : 0;
|
|
const highPenalty = barrier + (elevation[i] > 0.72 ? 26 : elevation[i] > 0.62 ? 8.5 : 0);
|
|
return Math.max(0.42, 1 + slope[i] * 23.0 + highPenalty + cityAvoid + densityPenalty + (river[i] > 0.45 ? 1.0 : 0) - midDensity * 0.82 - plain[i] * 0.16 - valleyField[i] * 0.16 - coastalLowland[i] * 0.18 + ridgeField[i] * 1.20 + normalEdgePenalty(x, y) + hash2(x, y, seed + 444) * 0.015);
|
|
}
|
|
|
|
const nationalRoads = [];
|
|
const roadDegree = new Map();
|
|
function transportDemand(p) {
|
|
const pop = Math.sqrt(Math.max(0, p.population || 0)) / 700;
|
|
const capitalBoost = p.isPrefecturalCapital || p.rank === "Prefectural Capital" ? 2.1 : 0;
|
|
const portBoost = p.portClass === "major" ? 1.4 : p.portClass === "regional" ? 0.8 : p.portClass ? 0.35 : 0;
|
|
const historyBoost = p.kind?.includes("Castle") ? 0.55 : p.kind === "Market Town" ? 0.42 : 0;
|
|
const gatewayBoost = p.kind === "External Gateway" ? 1.1 : 0;
|
|
return 0.35 + pop + capitalBoost + portBoost + historyBoost + gatewayBoost;
|
|
}
|
|
|
|
function sameCorridorAffinity(a, b) {
|
|
const ai = indexOf(a.x, a.y);
|
|
const bi = indexOf(b.x, b.y);
|
|
return Math.min(0.6, (basinField[ai] + basinField[bi]) * 0.14 + (valleyField[ai] + valleyField[bi]) * 0.10 + (coastalLowland[ai] + coastalLowland[bi]) * 0.10);
|
|
}
|
|
|
|
const roadTargetCandidates = [...modernCities.filter((p) => (p.population || 0) >= 90000), ...ports, ...markets, ...castles]
|
|
.map((p) => ({ ...p, demand: transportDemand(p), score: (p.score || 0.4) + transportDemand(p) * 0.24 + ((p.population || 0) >= 180000 ? 0.18 : 0.05) }));
|
|
const pickedRoadTargets = pickEntities(roadTargetCandidates, {
|
|
max: 8 + Math.floor(rand(seed, 1101) * 10),
|
|
minDistance: 9,
|
|
threshold: 0,
|
|
seed: seed + 1100,
|
|
});
|
|
const roadTargets = [
|
|
capital,
|
|
...pickedRoadTargets
|
|
.filter((p) => Math.hypot(p.x - capital.x, p.y - capital.y) > 2)
|
|
.sort((a, b) => transportDemand(b) - transportDemand(a)),
|
|
];
|
|
const roadHubs = [...modernCities, ...ports, ...markets, ...stations];
|
|
const roadCore = [capital];
|
|
|
|
function addNationalRoad(a, b) {
|
|
const start = routePoint(a, "road", a.x * 31 + a.y * 37);
|
|
const goal = routePoint(b, "road", b.x * 31 + b.y * 37 + 17);
|
|
const existing = [...nationalRoads, ...railways, ...branchRailways];
|
|
const path = aStar(start, goal, makeTransportCost(roadCost, existing, roadHubs, [start, goal], 3, 5.8, townAvoidNodes, 3.2, 5.4));
|
|
const direct = pathEndpointDistance(path);
|
|
const urbanPasses = modernCities.filter((city) => path.some(([x, y]) => Math.hypot(x - city.x, y - city.y) <= Math.max(6, Math.min(13, (city.urbanRadius || 8) * 0.78)))).length;
|
|
const passBonusOk = urbanPasses >= 2 || direct >= 24;
|
|
if (path.length > 3 && direct >= 16 && pathLength(path) >= 20 && pathCompactness(path) < 3.35 && pathOverlapRatio(path, existing, 2) < 0.48 && passBonusOk) {
|
|
nationalRoads.push(path);
|
|
incrementDegree(roadDegree, a);
|
|
incrementDegree(roadDegree, b);
|
|
return true;
|
|
}
|
|
return false;
|
|
}
|
|
|
|
for (const target of roadTargets.slice(1, 8 + Math.floor(rand(seed, 1102) * 7))) {
|
|
const anchor = nearestConnectable(roadCore, target, roadDegree, 3) || capital;
|
|
if (addNationalRoad(anchor, target)) roadCore.push(target);
|
|
}
|
|
const roadLinkCandidates = [];
|
|
for (let i = 0; i < roadTargets.length; i++) {
|
|
for (let j = i + 1; j < roadTargets.length; j++) {
|
|
const a = roadTargets[i];
|
|
const b = roadTargets[j];
|
|
const d = Math.hypot(a.x - b.x, a.y - b.y);
|
|
if (d < 18 || d > 58) continue;
|
|
const demand = Math.sqrt(transportDemand(a) * transportDemand(b));
|
|
roadLinkCandidates.push({ a, b, score: demand / (1 + d / 18) + sameCorridorAffinity(a, b) + hash2(a.x + b.x, a.y + b.y, seed + 1111) * 0.05 });
|
|
}
|
|
}
|
|
roadLinkCandidates.sort((a, b) => b.score - a.score);
|
|
let extraRoadLinks = 0;
|
|
for (const link of roadLinkCandidates) {
|
|
if (extraRoadLinks >= 4) break;
|
|
if (getDegree(roadDegree, link.a) >= 4 || getDegree(roadDegree, link.b) >= 4) continue;
|
|
if (addNationalRoad(link.a, link.b)) {
|
|
extraRoadLinks++;
|
|
}
|
|
}
|
|
|
|
// National roads should behave like long trunk corridors: they intentionally
|
|
// pass near as many urbanized cells/cities as possible, unlike expressways.
|
|
const trunkCities = modernCities
|
|
.filter((city) => prefectureMask[indexOf(city.x, city.y)] && (city.population || 0) >= 90000)
|
|
.slice()
|
|
.sort((a, b) => a.x - b.x || a.y - b.y);
|
|
for (let i = 0; i < trunkCities.length - 1; i += 2) {
|
|
const a = trunkCities[i];
|
|
const b = trunkCities[Math.min(trunkCities.length - 1, i + 2)];
|
|
if (a && b && Math.hypot(a.x - b.x, a.y - b.y) >= 22 && getDegree(roadDegree, a) < 5) addNationalRoad(a, b);
|
|
}
|
|
|
|
const expressTargets = pickEntities(modernCities.filter((p) => p !== capital && (p.population || 0) >= 180000).map((p) => ({ ...p, score: p.score + Math.hypot(p.x - capital.x, p.y - capital.y) / 80 + 0.15 })).concat(majorPorts.map((p) => ({ ...p, score: p.score + 0.55 }))), {
|
|
max: 1 + Math.floor(rand(seed, 1120) * 3),
|
|
minDistance: 20,
|
|
threshold: 0.05,
|
|
seed: seed + 1120,
|
|
});
|
|
|
|
const expressways = [];
|
|
const expressDegree = new Map();
|
|
const expressCore = [capital];
|
|
|
|
function addExpressway(a, b, bucket = expressways) {
|
|
const start = routePoint(a, "express", a.x * 41 + a.y * 43);
|
|
const goal = routePoint(b, "express", b.x * 41 + b.y * 43 + 29);
|
|
const existing = [...expressways, ...nationalRoads, ...railways, ...branchRailways];
|
|
let path = aStar(start, goal, makeTransportCost(expresswayCost, existing, roadHubs, [start, goal], 5, 10.8, townAvoidNodes, 8.5, 14.0));
|
|
path = smoothPathByLineOfSight(path, (x, y) => expresswayCost(x, y, x, y) < INF && slope[indexOf(x, y)] < 0.54 && elevation[indexOf(x, y)] < 0.78, 10);
|
|
const direct = pathEndpointDistance(path);
|
|
if (path.length > 8 && direct >= 26 && pathLength(path) >= 30 && pathCompactness(path) < 2.35 && pathOverlapRatio(path, existing, 2) < 0.30) {
|
|
bucket.push(path);
|
|
incrementDegree(expressDegree, a);
|
|
incrementDegree(expressDegree, b);
|
|
return true;
|
|
}
|
|
return false;
|
|
}
|
|
|
|
for (const target of expressTargets) {
|
|
const anchor = nearestConnectable(expressCore, target, expressDegree, 2) || capital;
|
|
if (addExpressway(anchor, target)) expressCore.push(target);
|
|
}
|
|
|
|
const ringRoads = [];
|
|
const ringExpressways = [];
|
|
const ringRailways = [];
|
|
|
|
function ringAnchorCandidates(city, mode, targetRadius, sectors = 8) {
|
|
const anchors = [];
|
|
const minR = Math.max(5, targetRadius - 5);
|
|
const maxR = targetRadius + 7;
|
|
for (let s = 0; s < sectors; s++) {
|
|
const angle0 = (s / sectors) * Math.PI * 2;
|
|
let best = null;
|
|
let bestScore = -INF;
|
|
for (let dy = -Math.ceil(maxR); dy <= Math.ceil(maxR); dy++) {
|
|
for (let dx = -Math.ceil(maxR); dx <= Math.ceil(maxR); dx++) {
|
|
const d = Math.hypot(dx, dy);
|
|
if (d < minR || d > maxR) continue;
|
|
const angle = Math.atan2(dy, dx);
|
|
let delta = Math.abs(Math.atan2(Math.sin(angle - angle0), Math.cos(angle - angle0)));
|
|
if (delta > Math.PI / sectors * 0.95) continue;
|
|
const x = city.x + dx;
|
|
const y = city.y + dy;
|
|
if (!inside(x, y)) continue;
|
|
const i = indexOf(x, y);
|
|
if (sea[i] || !prefectureMask[i]) continue;
|
|
const barrier = mode === "road" ? mountainBarrierPenalty(x, y, "road") : mountainBarrierPenalty(x, y, mode === "express" ? "express" : "rail");
|
|
if (barrier >= INF) continue;
|
|
const density = densityValue(x, y);
|
|
const densityTerm = mode === "rail" ? density * 0.75 : mode === "express" ? midDensityAffinity(x, y) * 0.72 : density * 0.28 + midDensityAffinity(x, y) * 0.22;
|
|
const score = plain[i] * 0.72 + agriculture[i] * 0.12 + densityTerm - slope[i] * 1.25 - Math.max(0, elevation[i] - 0.58) * 1.3 - barrier * 0.01 - Math.abs(d - targetRadius) * 0.035 + hash2(x, y, seed + 4100 + s * 37 + mode.length * 101) * 0.08;
|
|
if (score > bestScore) {
|
|
bestScore = score;
|
|
best = { x, y, score, kind: `${mode} ring anchor`, parent: city };
|
|
}
|
|
}
|
|
}
|
|
if (best) anchors.push(best);
|
|
}
|
|
return anchors;
|
|
}
|
|
|
|
function ringCost(baseCost, city, targetRadius, mode) {
|
|
return (x, y, cx, cy) => {
|
|
const base = baseCost(x, y, cx, cy);
|
|
if (base >= INF) return base;
|
|
const d = Math.hypot(x - city.x, y - city.y);
|
|
const tooClose = Math.max(0, targetRadius * 0.46 - d);
|
|
const tooFar = Math.max(0, d - targetRadius * 1.55);
|
|
const bandPenalty = tooClose * 0.34 + tooFar * 0.16 + Math.abs(d - targetRadius) * 0.018;
|
|
const density = densityValue(x, y);
|
|
const densityBias = mode === "rail" ? -density * 0.42 : mode === "express" ? -midDensityAffinity(x, y) * 0.32 + Math.max(0, density - 0.82) * 0.8 : -density * 0.12;
|
|
return Math.max(0.36, base + bandPenalty + densityBias);
|
|
};
|
|
}
|
|
|
|
function softRingRailCost(x, y) {
|
|
const i = indexOf(x, y);
|
|
const barrier = mountainBarrierPenalty(x, y, "rail");
|
|
if (sea[i] || barrier >= INF) return INF;
|
|
const density = densityValue(x, y);
|
|
return Math.max(0.38, 1 + slope[i] * 14 + barrier + Math.max(0, elevation[i] - 0.56) * 22 + (river[i] > 0.5 ? 1.3 : river[i] * 0.6) - density * 0.62 - plain[i] * 0.20 + normalEdgePenalty(x, y) + hash2(x, y, seed + 7222) * 0.05);
|
|
}
|
|
|
|
function softRingExpressCost(x, y) {
|
|
const i = indexOf(x, y);
|
|
const barrier = mountainBarrierPenalty(x, y, "express");
|
|
if (sea[i] || barrier >= INF) return INF;
|
|
return Math.max(0.38, 1 + slope[i] * 13 + barrier + Math.max(0, elevation[i] - 0.58) * 20 + (river[i] > 0.5 ? 1.0 : river[i] * 0.5) - midDensityAffinity(x, y) * 0.42 - plain[i] * 0.14 + normalEdgePenalty(x, y) + hash2(x, y, seed + 7444) * 0.05);
|
|
}
|
|
|
|
function addEnvironmentalRing(city, mode, bucket, baseCost, existingPaths, targetRadius) {
|
|
const anchors = ringAnchorCandidates(city, mode, targetRadius, mode === "road" ? 7 : 8);
|
|
if (anchors.length < 3) return 0;
|
|
let made = 0;
|
|
const cost = ringCost(baseCost, city, targetRadius, mode);
|
|
for (let i = 0; i < anchors.length - (anchors.length < 4 ? 1 : 0); i++) {
|
|
const a = anchors[i];
|
|
const b = anchors[(i + 1) % anchors.length];
|
|
if (Math.hypot(a.x - b.x, a.y - b.y) > targetRadius * 1.85) continue;
|
|
const path = aStar(a, b, makeTransportCost(cost, [...existingPaths, ...bucket], roadHubs, [a, b], mode === "road" ? 3 : 4, mode === "road" ? 4.8 : 7.0, townAvoidNodes, mode === "express" ? 3.8 : 2.2, mode === "express" ? 4.8 : 2.8));
|
|
if (path.length >= 5 && path.length <= targetRadius * 8.0) {
|
|
bucket.push(path);
|
|
made++;
|
|
}
|
|
}
|
|
return made;
|
|
}
|
|
|
|
function flexibleRingAnchors(city, targetRadius, maxAnchors = 6) {
|
|
const candidates = [];
|
|
const maxR = targetRadius + 11;
|
|
const minR = Math.max(5, targetRadius * 0.45);
|
|
for (let dy = -Math.ceil(maxR); dy <= Math.ceil(maxR); dy++) {
|
|
for (let dx = -Math.ceil(maxR); dx <= Math.ceil(maxR); dx++) {
|
|
const d = Math.hypot(dx, dy);
|
|
if (d < minR || d > maxR) continue;
|
|
const x = city.x + dx;
|
|
const y = city.y + dy;
|
|
if (!inside(x, y)) continue;
|
|
const i = indexOf(x, y);
|
|
if (sea[i] || !prefectureMask[i] || elevation[i] > 0.82) continue;
|
|
const score = plain[i] * 0.7 + midDensityAffinity(x, y) * 0.32 + densityValue(x, y) * 0.2 - slope[i] * 1.15 - Math.max(0, elevation[i] - 0.58) * 0.88 - Math.abs(d - targetRadius) * 0.02 + hash2(x, y, seed + 7555) * 0.06;
|
|
candidates.push({ x, y, score, angle: Math.atan2(dy, dx), kind: "flexible ring anchor", parent: city });
|
|
}
|
|
}
|
|
return pickEntities(candidates, { max: maxAnchors, minDistance: 5, threshold: -1, seed: seed + city.x * 83 + city.y * 89 })
|
|
.sort((a, b) => a.angle - b.angle);
|
|
}
|
|
|
|
function addLooseEnvironmentalRing(city, bucket, baseCost, targetRadius) {
|
|
let anchors = ringAnchorCandidates(city, "road", targetRadius, 6);
|
|
if (anchors.length < 3) anchors = flexibleRingAnchors(city, targetRadius, 6);
|
|
if (anchors.length < 2) return 0;
|
|
let made = 0;
|
|
for (let i = 0; i < anchors.length; i++) {
|
|
const a = anchors[i];
|
|
const b = anchors[(i + 1) % anchors.length];
|
|
const path = aStar(a, b, (x, y, cx, cy) => {
|
|
const base = baseCost(x, y, cx, cy);
|
|
if (base >= INF) return INF;
|
|
const d = Math.hypot(x - city.x, y - city.y);
|
|
const band = Math.max(0, targetRadius * 0.42 - d) * 0.22 + Math.max(0, d - targetRadius * 1.7) * 0.14 + Math.abs(d - targetRadius) * 0.012;
|
|
return Math.max(0.3, base + band);
|
|
});
|
|
if (path.length >= 4 && path.length <= targetRadius * 9.0) {
|
|
bucket.push(path);
|
|
made++;
|
|
}
|
|
}
|
|
return made;
|
|
}
|
|
|
|
const mediumRingCities = modernCities.filter((c) => (c.population || 0) >= 130000).slice(0, 6);
|
|
for (const city of mediumRingCities) {
|
|
const radius = clamp(8 + Math.sqrt(city.population || 100000) / 170, 10, 22);
|
|
addEnvironmentalRing(city, "road", ringRoads, roadCost, [...nationalRoads, ...railways, ...branchRailways], radius);
|
|
}
|
|
const largeRingCities = modernCities.filter((c) => (c.population || 0) >= 900000).slice(0, 1);
|
|
for (const city of largeRingCities) {
|
|
const roadRadius = clamp(10 + Math.sqrt(city.population || 400000) / 155, 13, 28);
|
|
const expressRadius = roadRadius + 3 + rand(seed, city.x * 71 + city.y * 73) * 3;
|
|
const railRadius = Math.max(8, roadRadius - 4);
|
|
addEnvironmentalRing(city, "road", ringRoads, roadCost, [...nationalRoads, ...expressways, ...railways, ...branchRailways], roadRadius);
|
|
// Expressway rings are intentionally disabled; expressways stay as sparse interurban corridors.
|
|
const railRingSegments = addEnvironmentalRing(city, "rail", ringRailways, railCost, [...railways, ...branchRailways, ...nationalRoads, ...expressways], railRadius);
|
|
// Expressway rings should be rare; do not force a fallback ring when terrain rejects it.
|
|
if (railRingSegments === 0) addLooseEnvironmentalRing(city, ringRailways, softRingRailCost, railRadius);
|
|
}
|
|
ringExpressways.length = 0;
|
|
compactPathArray(ringRoads, { minLength: 8, maxOverlap: 0.32, maxCount: 18 });
|
|
compactPathArray(ringRailways, { minLength: 8, maxOverlap: 0.26, maxCount: 8 });
|
|
|
|
const gatewayCandidates = [];
|
|
for (let x = 0; x < MAP_W; x++) for (const y of [0, MAP_H - 1]) { const i = indexOf(x, y); if (!sea[i]) gatewayCandidates.push({ x, y, side: y === 0 ? "N" : "S", score: plain[i] + agriculture[i] + (1 - slope[i]) * 0.5 + coastalLowland[i] * 0.2 - Math.max(0, elevation[i] - 0.56) * 1.6 - ridgeField[i] * 0.35 }); }
|
|
for (let y = 0; y < MAP_H; y++) for (const x of [0, MAP_W - 1]) { const i = indexOf(x, y); if (!sea[i]) gatewayCandidates.push({ x, y, side: x === 0 ? "W" : "E", score: plain[i] + agriculture[i] + (1 - slope[i]) * 0.5 + coastalLowland[i] * 0.2 - Math.max(0, elevation[i] - 0.56) * 1.6 - ridgeField[i] * 0.35 }); }
|
|
|
|
let externalGateways = pickEntities(gatewayCandidates, {
|
|
max: 2 + Math.floor(rand(seed, 1201) * 3),
|
|
minDistance: 28,
|
|
threshold: 0.4,
|
|
seed: seed + 1201,
|
|
}).map((p) => ({ ...p, kind: "External Gateway" }));
|
|
|
|
function externalRoadCost(goal) {
|
|
return (x, y) => {
|
|
const i = indexOf(x, y);
|
|
if (sea[i]) return INF;
|
|
const barrier = mountainBarrierPenalty(x, y, "road");
|
|
if (barrier >= INF) return INF;
|
|
const borderPenalty = nearMapEdge(x, y, 1) && !(Math.abs(x - goal.x) <= 2 && Math.abs(y - goal.y) <= 2) ? 7 : nearMapEdge(x, y, 3) ? 1.5 : 0;
|
|
const density = densityValue(x, y);
|
|
const nodeAvoid = distanceToNearest(townAvoidNodes, x, y) < 2.2 ? 2.0 : 0;
|
|
return Math.max(0.35, 1 + slope[i] * 13 + barrier + Math.max(0, elevation[i] - 0.54) * 7.5 + nodeAvoid + (river[i] > 0.45 ? 0.9 : 0) + floodplain[i] * 0.24 - density * 0.3 - plain[i] * 0.24 + borderPenalty + hash2(x, y, seed + 333) * 0.06);
|
|
};
|
|
}
|
|
function externalExpresswayCost(goal) {
|
|
return (x, y) => {
|
|
const i = indexOf(x, y);
|
|
if (sea[i]) return INF;
|
|
const barrier = mountainBarrierPenalty(x, y, "express");
|
|
if (barrier >= INF) return INF;
|
|
const borderPenalty = nearMapEdge(x, y, 1) && !(Math.abs(x - goal.x) <= 2 && Math.abs(y - goal.y) <= 2) ? 7 : nearMapEdge(x, y, 3) ? 1.5 : 0;
|
|
const density = densityValue(x, y);
|
|
const cityDistance = distanceToNearest(modernCities, x, y);
|
|
const cityAvoid = cityDistance < 5 ? 22.0 : cityDistance < 9 ? 11.0 : cityDistance < 13 ? 4.0 : distanceToNearest(markets, x, y) < 4 ? 3.2 : 0;
|
|
const densityPenalty = density > 0.66 ? (density - 0.66) * 9.5 : density < 0.08 ? (0.08 - density) * 2.4 : 0;
|
|
return Math.max(0.42, 1 + slope[i] * 19 + barrier + cityAvoid + densityPenalty + (river[i] > 0.45 ? 1 : 0) + floodplain[i] * 0.2 - midDensityAffinity(x, y) * 0.7 - plain[i] * 0.12 + borderPenalty + hash2(x, y, seed + 444) * 0.05);
|
|
};
|
|
}
|
|
function externalRailCost(goal) {
|
|
return (x, y) => {
|
|
const i = indexOf(x, y);
|
|
if (sea[i]) return INF;
|
|
const barrier = mountainBarrierPenalty(x, y, "rail");
|
|
if (barrier >= INF) return INF;
|
|
const borderPenalty = nearMapEdge(x, y, 1) && !(Math.abs(x - goal.x) <= 2 && Math.abs(y - goal.y) <= 2) ? 9 : nearMapEdge(x, y, 3) ? 1.8 : 0;
|
|
const density = densityValue(x, y);
|
|
return Math.max(0.42, 1 + slope[i] * 22 + barrier + Math.max(0, elevation[i] - 0.52) * 14 + (river[i] > 0.45 ? 1.2 : 0) + borderPenalty - density * 1.0 - plain[i] * 0.28 + hash2(x, y, seed + 222) * 0.05);
|
|
};
|
|
}
|
|
|
|
const externalRoads = [];
|
|
const externalExpressways = [];
|
|
const externalRailways = [];
|
|
|
|
function selectExternalStart(pool, gate, degreeMap, maxDegree = 2) {
|
|
const sorted = pool
|
|
.filter(Boolean)
|
|
.map((p) => ({ ...p, d: Math.hypot(p.x - gate.x, p.y - gate.y), degree: getDegree(degreeMap, p) }))
|
|
.sort((a, b) => a.d + a.degree * 16 + (a.degree >= maxDegree ? 30 : 0) - (b.d + b.degree * 16 + (b.degree >= maxDegree ? 30 : 0)));
|
|
return sorted.find((p) => p.degree < maxDegree) || sorted[0] || capital;
|
|
}
|
|
|
|
externalGateways.forEach((gate, idx) => {
|
|
const makeExpressLink = idx === 0 || rand(seed, 1210 + idx) > 0.4;
|
|
const roadStartRaw = selectExternalStart([...roadCore, ...modernCities, ...ports, ...markets], gate, roadDegree, 3);
|
|
const roadStart = routePoint(roadStartRaw, makeExpressLink ? "express" : "road", gate.x * 53 + gate.y * 59);
|
|
const roadExisting = [...nationalRoads, ...expressways, ...externalRoads, ...externalExpressways, ...railways, ...branchRailways];
|
|
const roadBaseCost = makeExpressLink ? externalExpresswayCost(gate) : externalRoadCost(gate);
|
|
const roadPath = aStar(roadStart, gate, makeTransportCost(roadBaseCost, roadExisting, roadHubs, [roadStart, gate], makeExpressLink ? 4 : 3, makeExpressLink ? 8.2 : 6.2, townAvoidNodes, makeExpressLink ? 5.4 : 3.2, makeExpressLink ? 7.8 : 5.6));
|
|
if (roadPath.length > 6) {
|
|
if (makeExpressLink) {
|
|
externalExpressways.push(roadPath);
|
|
incrementDegree(expressDegree, roadStartRaw);
|
|
incrementDegree(expressDegree, gate);
|
|
expressCore.push(gate);
|
|
} else {
|
|
externalRoads.push(roadPath);
|
|
incrementDegree(roadDegree, roadStartRaw);
|
|
incrementDegree(roadDegree, gate);
|
|
}
|
|
}
|
|
if ((idx === 0 || rand(seed, 1220 + idx) > 0.5) && modernCities.length > 0) {
|
|
const railStartRaw = selectExternalStart([...railCore, ...modernCities, ...ports], gate, railDegree, 2);
|
|
const railStart = routePoint(railStartRaw, "rail", gate.x * 61 + gate.y * 67);
|
|
const railExisting = [...railways, ...branchRailways, ...externalRailways, ...nationalRoads, ...expressways, ...externalExpressways];
|
|
const railPath = aStar(railStart, gate, makeTransportCost(externalRailCost(gate), railExisting, railHubs, [railStart, gate], 4, 8.2, townAvoidNodes, 2.5, 4.4));
|
|
if (railPath.length > 6) {
|
|
externalRailways.push(railPath);
|
|
incrementDegree(railDegree, railStartRaw);
|
|
incrementDegree(railDegree, gate);
|
|
}
|
|
}
|
|
});
|
|
|
|
const requiredTransportNodes = [];
|
|
function addRequiredTransportNode(node, reason) {
|
|
if (!node || !inside(node.x, node.y) || sea[indexOf(node.x, node.y)]) return;
|
|
const key = `${node.x},${node.y}`;
|
|
if (requiredTransportNodes.some((p) => `${p.x},${p.y}` === key)) return;
|
|
requiredTransportNodes.push({ ...node, requiredTransportReason: reason });
|
|
}
|
|
addRequiredTransportNode(capital, "capital");
|
|
for (const gate of externalGateways) addRequiredTransportNode(gate, "externalGateway");
|
|
for (const city of modernCities) if ((city.population || 0) >= 120000 || city.isPrefecturalCapital) addRequiredTransportNode(city, "majorCity");
|
|
for (const port of majorPorts) addRequiredTransportNode(port, "majorPort");
|
|
|
|
const backboneAccess = new Map();
|
|
function nodeKey(p) {
|
|
return `${p.x},${p.y}`;
|
|
}
|
|
function backbonePoint(node) {
|
|
const key = nodeKey(node);
|
|
if (!backboneAccess.has(key)) {
|
|
const mode = node.requiredTransportReason === "externalGateway" ? "road" : "road";
|
|
backboneAccess.set(key, routePoint(node, mode, 18000 + node.x * 97 + node.y * 101));
|
|
}
|
|
return backboneAccess.get(key);
|
|
}
|
|
function addBackboneRoad(a, b) {
|
|
const start = backbonePoint(a);
|
|
const goal = backbonePoint(b);
|
|
const existing = [...nationalRoads, ...externalRoads, ...externalExpressways, ...railways, ...branchRailways];
|
|
const path = aStar(start, goal, makeTransportCost(roadCost, existing, roadHubs, [start, goal], 2, 4.2, townAvoidNodes, 2.6, 4.2));
|
|
if (path.length <= 3 || pathCompactness(path) > 3.8 || path.some(([x, y]) => elevation[indexOf(x, y)] > 0.72)) return false;
|
|
nationalRoads.push(path);
|
|
incrementDegree(roadDegree, a);
|
|
incrementDegree(roadDegree, b);
|
|
return true;
|
|
}
|
|
const connectedBackboneNodes = requiredTransportNodes.length ? [requiredTransportNodes[0]] : [];
|
|
const pendingBackboneNodes = requiredTransportNodes.slice(1);
|
|
let backboneEdgeCount = 0;
|
|
while (pendingBackboneNodes.length && connectedBackboneNodes.length) {
|
|
let bestIndex = -1;
|
|
let bestAnchor = null;
|
|
let bestScore = INF;
|
|
for (let i = 0; i < pendingBackboneNodes.length; i++) {
|
|
const node = pendingBackboneNodes[i];
|
|
for (const anchor of connectedBackboneNodes) {
|
|
const d = Math.hypot(node.x - anchor.x, node.y - anchor.y);
|
|
const ai = indexOf(anchor.x, anchor.y);
|
|
const bi = indexOf(node.x, node.y);
|
|
const corridor = sameCorridorAffinity(anchor, node);
|
|
const score = d * (1.0 - corridor * 0.22) + Math.max(elevation[ai], elevation[bi]) * 8 - Math.max(passSuitability[ai], passSuitability[bi]) * 4;
|
|
if (score < bestScore) {
|
|
bestScore = score;
|
|
bestIndex = i;
|
|
bestAnchor = anchor;
|
|
}
|
|
}
|
|
}
|
|
if (bestIndex < 0 || !bestAnchor) break;
|
|
const node = pendingBackboneNodes.splice(bestIndex, 1)[0];
|
|
if (addBackboneRoad(bestAnchor, node)) backboneEdgeCount++;
|
|
connectedBackboneNodes.push(node);
|
|
}
|
|
|
|
function nearestPathCellDistance(node, paths) {
|
|
let best = INF;
|
|
for (const path of paths) {
|
|
for (const [x, y] of path) best = Math.min(best, Math.hypot(node.x - x, node.y - y));
|
|
}
|
|
return best;
|
|
}
|
|
const combinedModernBackbone = [...nationalRoads, ...externalRoads, ...externalExpressways, ...railways, ...branchRailways, ...externalRailways, ...expressways];
|
|
const connectedRequiredNodeCount = requiredTransportNodes.filter((node) => nearestPathCellDistance(node, combinedModernBackbone) <= 7).length;
|
|
const missingRequiredNodes = requiredTransportNodes
|
|
.filter((node) => nearestPathCellDistance(node, combinedModernBackbone) > 7)
|
|
.map((node) => ({ x: node.x, y: node.y, kind: node.kind, reason: node.requiredTransportReason }));
|
|
const transportDebug = {
|
|
requiredNodeCount: requiredTransportNodes.length,
|
|
connectedRequiredNodeCount,
|
|
missingRequiredNodes,
|
|
backboneEdgeCount,
|
|
};
|
|
|
|
function pruneHighMountainTransport(paths, threshold = 0.82) {
|
|
for (let i = paths.length - 1; i >= 0; i--) {
|
|
if (paths[i].some(([x, y]) => elevation[indexOf(x, y)] > threshold)) paths.splice(i, 1);
|
|
}
|
|
}
|
|
for (const paths of [railways, branchRailways, ringRailways, externalRailways, expressways, externalExpressways]) pruneHighMountainTransport(paths, 0.82);
|
|
|
|
const expressInfluence = influenceFromPaths([...expressways, ...externalExpressways], 6);
|
|
const roadInfluence = influenceFromPaths([...nationalRoads, ...ringRoads, ...expressways, ...externalRoads, ...externalExpressways], 4);
|
|
|
|
const icCandidates = [];
|
|
for (const path of [...expressways, ...externalExpressways]) {
|
|
icCandidates.push(...samplePath(path, 11 + Math.floor(rand(seed, path.length + 333) * 5)).map((p) => ({ ...p, score: 0.62 + plain[indexOf(p.x, p.y)] * 0.24 + midDensityAffinity(p.x, p.y) * 0.16, kind: "Interchange" })));
|
|
for (const city of modernCities) {
|
|
let best = null;
|
|
let bestDistance = 999;
|
|
for (const [x, y] of path) {
|
|
const d = Math.hypot(x - city.x, y - city.y);
|
|
if (d < bestDistance) { bestDistance = d; best = { x, y }; }
|
|
}
|
|
if (best && bestDistance > 4 && bestDistance < 18) icCandidates.push({ ...best, score: 0.8 + city.score * 0.1, kind: "Urban Interchange" });
|
|
}
|
|
}
|
|
|
|
let interchanges = pickEntities(icCandidates, { max: 14 + Math.floor(rand(seed, 1130) * 18), minDistance: 7, threshold: 0.44, seed: seed + 1130 });
|
|
|
|
const icAccessRoads = [];
|
|
const nationalRoadAccessPoints = nationalRoads.flatMap((path) => samplePath(path, 8));
|
|
for (const ic of interchanges) {
|
|
const accessTargets = [
|
|
...industrialZones.map((p) => ({ ...p, score: 0.95 / (1 + Math.hypot(p.x - ic.x, p.y - ic.y) / 7) })),
|
|
...modernCities.map((p) => ({ ...routePoint(p, "road", 8200 + p.x * 7 + p.y), score: 0.72 / (1 + Math.hypot(p.x - ic.x, p.y - ic.y) / 10) })),
|
|
...nationalRoadAccessPoints.map((p) => ({ ...p, score: 0.62 / (1 + Math.hypot(p.x - ic.x, p.y - ic.y) / 6), kind: "National Road Access" })),
|
|
];
|
|
const target = pickEntities(accessTargets, { max: 1, minDistance: 1, threshold: 0, seed: seed + 1134 + ic.x * 3 + ic.y })[0];
|
|
if (!target || Math.hypot(target.x - ic.x, target.y - ic.y) > 22) continue;
|
|
const path = aStar(ic, target, roadCost);
|
|
if (path.length > 2 && path.length < 36) icAccessRoads.push(path);
|
|
}
|
|
|
|
const logisticsScore = new Float32Array(SIZE);
|
|
for (let y = 4; y < MAP_H - 4; y++) {
|
|
for (let x = 4; x < MAP_W - 4; x++) {
|
|
const i = indexOf(x, y);
|
|
if (sea[i]) continue;
|
|
const nearIC = 1 / (1 + distanceToNearest(interchanges, x, y) / 3);
|
|
const cityPenalty = distanceToNearest(modernCities, x, y) < 5 ? 0.28 : 0;
|
|
logisticsScore[i] = clamp(nearIC * 0.56 + plain[i] * 0.24 + roadInfluence[i] * 0.22 + expressInfluence[i] * 0.16 - slope[i] * 0.32 - cityPenalty);
|
|
}
|
|
}
|
|
|
|
let logisticsParks = pickPoints(logisticsScore, {
|
|
threshold: 0.32 + rand(seed, 1141) * 0.1,
|
|
max: 3 + Math.floor(rand(seed, 1142) * 13),
|
|
minDistance: 9,
|
|
seedOffset: 1140,
|
|
predicate: (x, y, i) => !sea[i],
|
|
}).map((p) => ({ ...p, kind: "Logistics Park" }));
|
|
|
|
const cityInfluence = influenceFromPoints(modernCities, 34, (p) => p.urbanWeight || 1.2);
|
|
const cityCoreInfluence = influenceFromPoints(urbanCenters, 11, (p) => p.parent?.coreRadius ? 1.35 + p.parent.coreRadius / 5 : 1.2);
|
|
const stationInfluence = influenceFromPoints(stations, 10, () => 1);
|
|
const railInfluence2 = influenceFromPaths([...railways, ...branchRailways, ...ringRailways, ...externalRailways], 6);
|
|
const satelliteScore = new Float32Array(SIZE);
|
|
const largeCitiesForSatellites = modernCities.filter((c) => (c.population || 0) >= 320000);
|
|
for (let y = 4; y < MAP_H - 4; y++) {
|
|
for (let x = 4; x < MAP_W - 4; x++) {
|
|
const i = indexOf(x, y);
|
|
if (sea[i] || !prefectureMask[i]) continue;
|
|
let ringPull = 0;
|
|
let parent = null;
|
|
for (const city of largeCitiesForSatellites) {
|
|
const d = Math.hypot(city.x - x, city.y - y);
|
|
const ideal = clamp(11 + Math.sqrt(city.population || 320000) / 150, 13, 27);
|
|
const v = clamp(1 - Math.abs(d - ideal) / 9);
|
|
if (v > ringPull) { ringPull = v; parent = city; }
|
|
}
|
|
if (!parent) continue;
|
|
const railPull = Math.max(railInfluence2[i], stationInfluence[i] * 0.84);
|
|
const separated = distanceToNearest(modernCities, x, y) > 7 ? 1 : 0;
|
|
satelliteScore[i] = clamp(ringPull * 0.42 + railPull * 0.38 + populationDensity[i] * 0.14 + plain[i] * 0.2 + basinField[i] * 0.08 + agriculture[i] * 0.05 - slope[i] * 0.86 - ridgeField[i] * 0.34 - Math.max(0, elevation[i] - 0.56) * 0.72 + separated * 0.1 + hash2(x, y, seed + 1160) * 0.035);
|
|
}
|
|
}
|
|
let satelliteCities = pickPoints(satelliteScore, {
|
|
threshold: 0.43 + rand(seed, 1161) * 0.07,
|
|
max: Math.min(14, 2 + largeCitiesForSatellites.length * 4 + Math.floor(rand(seed, 1162) * 4)),
|
|
minDistance: 8,
|
|
seedOffset: 1160,
|
|
predicate: (x, y, i) => !sea[i] && prefectureMask[i],
|
|
}).map((p, n) => {
|
|
const parent = largeCitiesForSatellites.slice().sort((a, b) => Math.hypot(a.x - p.x, a.y - p.y) - Math.hypot(b.x - p.x, b.y - p.y))[0];
|
|
const basePop = parent ? parent.population * (0.045 + rand(seed, 1165 + n) * 0.11) : 42000 + rand(seed, 1165 + n) * 90000;
|
|
return { ...p, kind: "Satellite City", parentCityIndex: parent ? modernCities.indexOf(parent) : -1, population: Math.round(basePop / 1000) * 1000, urbanRadius: 5 + Math.sqrt(basePop) / 135, coreRadius: 1.5 + Math.sqrt(basePop) / 420, urbanWeight: 0.55 + Math.sqrt(basePop) / 720 };
|
|
});
|
|
const satelliteInfluence = influenceFromPoints(satelliteCities, 16, (p) => p.urbanWeight || 0.8);
|
|
const oldCoreInfluence = influenceFromPoints([...castleTowns, ...markets, ...ports], 12, () => 1);
|
|
const industrialInfluence = influenceFromPoints(industrialZones, 9, () => 1);
|
|
const logisticsInfluence = influenceFromPoints(logisticsParks, 9, () => 1);
|
|
const interchangeInfluence = influenceFromPoints(interchanges, 8, () => 1);
|
|
const premodernInfluence = influenceFromPaths(premodernRoads, 4);
|
|
const villageInfluence = influenceFromPoints(villages, 7, () => 1);
|
|
|
|
const newTownScore = new Float32Array(SIZE);
|
|
for (let y = 4; y < MAP_H - 4; y++) {
|
|
for (let x = 4; x < MAP_W - 4; x++) {
|
|
const i = indexOf(x, y);
|
|
if (sea[i]) continue;
|
|
const dCity = distanceToNearest(modernCities, x, y);
|
|
const ring = dCity > 8 && dCity < 22 ? 1 : 0;
|
|
const uplandTerrace = elevation[i] > 0.36 && elevation[i] < 0.58 && slope[i] < 0.34 && ridgeField[i] < 0.34 ? 0.24 : 0;
|
|
newTownScore[i] = clamp(ring * 0.34 + stationInfluence[i] * 0.24 + roadInfluence[i] * 0.08 + railInfluence2[i] * 0.1 + plain[i] * 0.14 + uplandTerrace + agriculture[i] * 0.06 - slope[i] * 0.72 - ridgeField[i] * 0.22 - floodplain[i] * 0.22 - satelliteInfluence[i] * 0.18);
|
|
}
|
|
}
|
|
|
|
let newTowns = pickPoints(newTownScore, {
|
|
threshold: 0.32 + rand(seed, 1151) * 0.1,
|
|
max: 2 + Math.floor(rand(seed, 1152) * 10),
|
|
minDistance: 11,
|
|
seedOffset: 1150,
|
|
predicate: (x, y, i) => !sea[i],
|
|
}).map((p) => ({ ...p, kind: "New Town" }));
|
|
|
|
const minorRoads = [];
|
|
const trunkNodes = [...markets, ...modernCities, ...stations.slice(0, 24), ...crossings.slice(0, 16)];
|
|
const roadNetInfluence = influenceFromPaths([...nationalRoads, ...ringRoads, ...expressways, ...ringExpressways, ...externalRoads, ...externalExpressways, ...premodernRoads], 3);
|
|
|
|
function minorRoadCost(x, y) {
|
|
const i = indexOf(x, y);
|
|
if (sea[i] || elevation[i] > 0.72) return INF;
|
|
const barrier = mountainBarrierPenalty(x, y, "minor");
|
|
if (barrier >= INF) return INF;
|
|
return Math.max(0.3, 1 + slope[i] * 8.4 + barrier * 0.55 + Math.max(0, elevation[i] - 0.58) * 4.4 + floodplain[i] * 0.18 + (river[i] > 0.5 ? 1.0 : 0.18 * river[i]) - plain[i] * 0.24 - valleyField[i] * 0.36 - coastalLowland[i] * 0.12 + ridgeField[i] * 0.58 - roadNetInfluence[i] * 0.35 + normalEdgePenalty(x, y) + hash2(x, y, seed + 555) * 0.15);
|
|
}
|
|
|
|
const connectedPairs = new Set();
|
|
function addMinorRoad(a, b) {
|
|
const key = `${a.x},${a.y}|${b.x},${b.y}`;
|
|
if (connectedPairs.has(key)) return;
|
|
connectedPairs.add(key);
|
|
const path = aStar(a, b, minorRoadCost);
|
|
if (path.length > 2 && path.length < 90) minorRoads.push(path);
|
|
}
|
|
|
|
for (const village of villages) {
|
|
if (rand(seed, village.x * 13 + village.y * 17) < 0.42) {
|
|
const target = pickEntities(trunkNodes.map((p) => ({ ...p, score: 1 / (1 + Math.hypot(p.x - village.x, p.y - village.y)) })), { max: 1, minDistance: 1, threshold: 0 })[0];
|
|
if (target && Math.hypot(target.x - village.x, target.y - village.y) < 28) addMinorRoad(village, target);
|
|
}
|
|
}
|
|
for (const market of markets) {
|
|
const localVillages = pickEntities(villages.map((v) => ({ ...v, score: 1 / (1 + Math.hypot(v.x - market.x, v.y - market.y)) })), { max: 3, minDistance: 1, threshold: 0 });
|
|
for (const v of localVillages) addMinorRoad(market, v);
|
|
}
|
|
for (const pass of passes.slice(0, 8)) {
|
|
const target = pickEntities([...markets, ...villages].map((p) => ({ ...p, score: 1 / (1 + Math.hypot(p.x - pass.x, p.y - pass.y)) })), { max: 1, minDistance: 1, threshold: 0 })[0];
|
|
if (target) addMinorRoad(pass, target);
|
|
}
|
|
|
|
const newTownInfluence = influenceFromPoints(newTowns, 8, () => 1);
|
|
const landuse = new Uint8Array(SIZE);
|
|
for (let y = 0; y < MAP_H; y++) {
|
|
for (let x = 0; x < MAP_W; x++) {
|
|
const i = indexOf(x, y);
|
|
if (sea[i]) continue;
|
|
const mountain = elevation[i] > 0.62 || slope[i] > 0.46 || ridgeField[i] > 0.64;
|
|
const farm = agriculture[i] > 0.26 && (plain[i] > 0.2 || valleyField[i] > 0.32 || basinField[i] > 0.25);
|
|
let nearestCity = null;
|
|
let nearestCityDistance = INF;
|
|
for (const city of modernCities) {
|
|
const d = Math.hypot(city.x - x, city.y - y);
|
|
if (d < nearestCityDistance) { nearestCityDistance = d; nearestCity = city; }
|
|
}
|
|
const dCity = nearestCityDistance;
|
|
const populationScale = nearestCity ? clamp(Math.log10(Math.max(10000, nearestCity.population)) - 4, 0.25, 2.2) : 0.5;
|
|
const normalizedUrbanDistance = nearestCity ? dCity / Math.max(6, nearestCity.urbanRadius) : 99;
|
|
const cityClusterBoost = nearestCity ? clamp(1 - normalizedUrbanDistance) * (0.18 + populationScale * 0.16) : 0;
|
|
const density = populationDensity[i];
|
|
const oldTownScore = oldCoreInfluence[i] * 0.64 + premodernInfluence[i] * 0.32 + plain[i] * 0.12 + density * 0.08;
|
|
const terrainUrbanPenalty = slope[i] * 1.02 + ridgeField[i] * 0.55 + Math.max(0, elevation[i] - 0.56) * 0.56;
|
|
const nodeCausalPull = Math.max(stationInfluence[i] * 0.18, premodernInfluence[i] * 0.13, coastalLowland[i] * river[i] * 0.12, valleyField[i] * 0.08);
|
|
const satelliteEnvelope = satelliteInfluence[i] * 0.54;
|
|
const urbanEnvelope = cityInfluence[i] * 0.58 + cityCoreInfluence[i] * 0.3 + satelliteEnvelope + density * 0.47 + stationInfluence[i] * 0.18 + oldCoreInfluence[i] * 0.14 + newTownInfluence[i] * 0.12 + cityClusterBoost + nodeCausalPull - terrainUrbanPenalty;
|
|
const coreScore = cityCoreInfluence[i] * 0.74 + urbanEnvelope * 0.3 + density * 0.36 + satelliteInfluence[i] * 0.16 + stationInfluence[i] * 0.06 + railInfluence2[i] * 0.04 - slope[i] * 0.82 - ridgeField[i] * 0.28;
|
|
const suburbScore = urbanEnvelope * 0.54 + density * 0.14 + satelliteInfluence[i] * 0.22 + stationInfluence[i] * 0.09 + roadInfluence[i] * 0.05 + railInfluence2[i] * 0.05 + plain[i] * 0.16 + valleyField[i] * 0.04 + populationScale * 0.05 + (coreScore < 0.58 ? 0.05 : 0) - slope[i] * 0.76 - ridgeField[i] * 0.22;
|
|
const roadsideScore = interchangeInfluence[i] * 0.54 + logisticsInfluence[i] * 0.18 + roadInfluence[i] * 0.1 + plain[i] * 0.1 - cityInfluence[i] * 0.02;
|
|
const isolatedCorridor = roadInfluence[i] > 0.22 && cityInfluence[i] < 0.08 && stationInfluence[i] < 0.08 && interchangeInfluence[i] < 0.18;
|
|
const ruralScore = villageInfluence[i] * 0.3 + agriculture[i] * 0.38 + plain[i] * 0.18 - slope[i] * 0.08;
|
|
|
|
if (mountain) landuse[i] = 9;
|
|
else if (industrialInfluence[i] > 0.44) landuse[i] = 5;
|
|
else if (logisticsInfluence[i] > 0.42) landuse[i] = 6;
|
|
else if (newTownInfluence[i] > 0.42 && urbanEnvelope > 0.16) landuse[i] = 7;
|
|
else if (coreScore > 0.68 && density > 0.48 && stationInfluence[i] > 0.05 && slope[i] < 0.24 && ridgeField[i] < 0.36) landuse[i] = 3;
|
|
else if (oldTownScore > 0.49) landuse[i] = 2;
|
|
else if (suburbScore > 0.235 && !isolatedCorridor && slope[i] < 0.32 && ridgeField[i] < 0.48 && (normalizedUrbanDistance < 1.42 || satelliteInfluence[i] > 0.24)) landuse[i] = 4;
|
|
else if (roadsideScore > 0.5 && plain[i] > 0.18 && slope[i] < 0.34 && ridgeField[i] < 0.5 && !isolatedCorridor && (interchangeInfluence[i] > 0.24 || logisticsInfluence[i] > 0.16 || cityInfluence[i] > 0.09)) landuse[i] = 8;
|
|
else if (farm) landuse[i] = 1;
|
|
else if (ruralScore > 0.3) landuse[i] = 0;
|
|
else landuse[i] = 0;
|
|
}
|
|
}
|
|
|
|
function hasUrbanNeighborCluster(x, y, radius = 2, minUrban = 7) {
|
|
let urban = 0;
|
|
for (let dy = -radius; dy <= radius; dy++) {
|
|
for (let dx = -radius; dx <= radius; dx++) {
|
|
const nx = x + dx;
|
|
const ny = y + dy;
|
|
if (!inside(nx, ny)) continue;
|
|
const lu = landuse[indexOf(nx, ny)];
|
|
if (lu === 2 || lu === 3 || lu === 4 || lu === 7 || lu === 8) urban++;
|
|
}
|
|
}
|
|
return urban >= minUrban;
|
|
}
|
|
|
|
function removeIsolatedUrbanPatches(maxCells = 22) {
|
|
const seen = new Uint8Array(SIZE);
|
|
const namedCenters = [...modernCities, ...(satelliteCities || []), ...markets, ...ports, ...newTowns, ...stations];
|
|
const queue = [];
|
|
for (let i = 0; i < SIZE; i++) {
|
|
if (seen[i] || !prefectureMask[i] || sea[i]) continue;
|
|
const lu0 = landuse[i];
|
|
if (!(lu0 >= 2 && lu0 <= 8)) continue;
|
|
const component = [];
|
|
let maxDensity = 0;
|
|
queue.length = 0;
|
|
queue.push(i);
|
|
seen[i] = 1;
|
|
for (let q = 0; q < queue.length; q++) {
|
|
const cur = queue[q];
|
|
component.push(cur);
|
|
maxDensity = Math.max(maxDensity, populationDensity[cur]);
|
|
const [x, y] = xyOf(cur);
|
|
for (const [nx, ny] of neighbors8(x, y)) {
|
|
const ni = indexOf(nx, ny);
|
|
if (seen[ni] || !prefectureMask[ni] || sea[ni]) continue;
|
|
if (!(landuse[ni] >= 2 && landuse[ni] <= 8)) continue;
|
|
seen[ni] = 1;
|
|
queue.push(ni);
|
|
}
|
|
}
|
|
if (component.length > maxCells) continue;
|
|
let hasAnchor = false;
|
|
for (const ci of component) {
|
|
const [x, y] = xyOf(ci);
|
|
if (distanceToNearest(namedCenters, x, y) <= 5.8) {
|
|
hasAnchor = true;
|
|
break;
|
|
}
|
|
}
|
|
if (!hasAnchor) {
|
|
for (const ci of component) landuse[ci] = agriculture[ci] > 0.34 ? 1 : 0;
|
|
}
|
|
}
|
|
}
|
|
|
|
for (let pass = 0; pass < 2; pass++) removeIsolatedUrbanPatches(36);
|
|
|
|
// CBD is no longer a marker. It is a DID-like contiguous high-density core:
|
|
// first remove isolated core cells, then grow connected high-density cells
|
|
// from each urban center according to population scale.
|
|
for (let y = 1; y < MAP_H - 1; y++) {
|
|
for (let x = 1; x < MAP_W - 1; x++) {
|
|
const i = indexOf(x, y);
|
|
if (landuse[i] === 3 && !hasUrbanNeighborCluster(x, y, 2, 8)) landuse[i] = 4;
|
|
}
|
|
}
|
|
|
|
function growDidCore(center, city, salt) {
|
|
if (!center || !city) return 0;
|
|
const start = indexOf(center.x, center.y);
|
|
if (sea[start] || !prefectureMask[start]) return 0;
|
|
if ((city.population || 0) < 220000) return 0;
|
|
const targetCells = Math.round(clamp(2 + Math.sqrt(city.population || 80000) / 74, 4, 22));
|
|
const maxRadius = clamp((city.coreRadius || 3) * 2.4 + Math.sqrt(city.population || 80000) / 260, 6, 16);
|
|
const selected = new Set();
|
|
const queued = new Set([start]);
|
|
const heap = new MinHeap();
|
|
heap.push({ i: start, f: -10 });
|
|
let made = 0;
|
|
|
|
while (heap.length > 0 && made < targetCells) {
|
|
const cur = heap.pop();
|
|
if (!cur || selected.has(cur.i)) continue;
|
|
const [x, y] = xyOf(cur.i);
|
|
const i = cur.i;
|
|
const d = Math.hypot(x - center.x, y - center.y);
|
|
const support = populationDensity[i] * 1.18 + cityInfluence[i] * 0.22 + stationInfluence[i] * 0.18 + plain[i] * 0.12 - slope[i] * 1.24 - ridgeField[i] * 0.54 - Math.max(0, elevation[i] - 0.58) * 0.50 - floodplain[i] * 0.08 - d / maxRadius * 0.22;
|
|
if (d > maxRadius || support < 0.44 || sea[i] || !prefectureMask[i]) continue;
|
|
if (!(landuse[i] === 2 || landuse[i] === 3 || landuse[i] === 4 || landuse[i] === 7 || populationDensity[i] > 0.22 || stationInfluence[i] > 0.14)) continue;
|
|
|
|
selected.add(i);
|
|
landuse[i] = 3;
|
|
made++;
|
|
|
|
for (const [nx, ny] of neighbors8(x, y)) {
|
|
const ni = indexOf(nx, ny);
|
|
if (queued.has(ni) || selected.has(ni) || sea[ni] || !prefectureMask[ni]) continue;
|
|
const nd = Math.hypot(nx - center.x, ny - center.y);
|
|
if (nd > maxRadius + 1) continue;
|
|
const score = populationDensity[ni] * 1.24 + cityInfluence[ni] * 0.22 + stationInfluence[ni] * 0.18 + plain[ni] * 0.12 - slope[ni] * 1.25 - ridgeField[ni] * 0.54 - nd / maxRadius * 0.22 + hash2(nx, ny, seed + salt) * 0.03;
|
|
queued.add(ni);
|
|
heap.push({ i: ni, f: -score });
|
|
}
|
|
}
|
|
return made;
|
|
}
|
|
|
|
urbanCenters.forEach((center, n) => growDidCore(center, center.parent || modernCities[n], 9400 + n * 17));
|
|
for (let pass = 0; pass < 3; pass++) removeIsolatedUrbanPatches(42);
|
|
for (let y = 1; y < MAP_H - 1; y++) {
|
|
for (let x = 1; x < MAP_W - 1; x++) {
|
|
const i = indexOf(x, y);
|
|
if (landuse[i] === 3 && !hasUrbanNeighborCluster(x, y, 2, 8)) landuse[i] = 4;
|
|
}
|
|
}
|
|
|
|
|
|
return {
|
|
ports,
|
|
crossings,
|
|
passes,
|
|
settlementCluster,
|
|
settlementScore,
|
|
villages,
|
|
markets,
|
|
castles,
|
|
premodernRoads,
|
|
minorRoads,
|
|
castleTowns,
|
|
modernCities,
|
|
populationDensity,
|
|
railways,
|
|
branchRailways,
|
|
ringRailways,
|
|
externalRailways,
|
|
stations,
|
|
industrialZones,
|
|
nationalRoads,
|
|
ringRoads,
|
|
expressways,
|
|
ringExpressways,
|
|
icAccessRoads,
|
|
externalRoads,
|
|
externalExpressways,
|
|
interchanges,
|
|
logisticsParks,
|
|
satelliteCities,
|
|
newTowns,
|
|
landuse,
|
|
stationInfluence,
|
|
roadInfluence,
|
|
railInfluence2,
|
|
villageInfluence,
|
|
externalGateways,
|
|
transportDebug,
|
|
cityPopulationCap,
|
|
};
|
|
}
|