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burgs placement change + resource style
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parent
1e227642c8
commit
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5 changed files with 111 additions and 97 deletions
46
main.js
46
main.js
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@ -77,8 +77,6 @@ let prec = viewbox.append("g").attr("id", "prec").style("display", "none");
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let population = viewbox.append("g").attr("id", "population");
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let goods = viewbox.append('g').attr('id', 'goods');
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let emblems = viewbox.append("g").attr("id", "emblems").style("display", "none");
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let goods = viewbox.append("g").attr("id", "goods");
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let emblems = viewbox.append("g").attr("id", "emblems").style("display", "none");
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let labels = viewbox.append("g").attr("id", "labels");
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let icons = viewbox.append("g").attr("id", "icons");
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let burgIcons = icons.append("g").attr("id", "burgIcons");
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@ -1540,15 +1538,15 @@ function getBiomeId(moisture, temperature, height) {
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return biomesData.biomesMartix[moistureBand][temperatureBand];
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}
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// assess cells suitability to calculate population and rand cells for culture center and burgs placement
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// assess cells suitability to calculate population and rang cells for culture center and burgs placement
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function rankCells() {
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TIME && console.time('rankCells');
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const {cells, features} = pack;
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cells.s = new Int16Array(cells.i.length); // cell suitability array
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cells.pop = new Float32Array(cells.i.length); // cell population array
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const flMean = d3.median(cells.fl.filter((f) => f)) || 0,
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flMax = d3.max(cells.fl) + d3.max(cells.conf); // to normalize flux
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const flMean = d3.median(cells.fl.filter((f) => f)) || 0;
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const flMax = d3.max(cells.fl) + d3.max(cells.conf); // to normalize flux
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const areaMean = d3.mean(cells.area); // to adjust population by cell area
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const getResValue = (i) => (cells.resource[i] ? Resources.get(cells.resource[i])?.value : 0); // get bonus resource scope
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const POP_BALANCER = 1.5; // to ballance population to desired number
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@ -1556,24 +1554,24 @@ function rankCells() {
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for (const i of cells.i) {
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// if (cells.b[i]) continue; // avoid adding burgs on map border
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if (cells.h[i] < 20) continue; // no population in water
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let s = +biomesData.habitability[cells.biome[i]]; // base suitability derived from biome habitability
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let s = biomesData.habitability[cells.biome[i]] / 10; // base suitability derived from biome habitability
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if (!s) continue; // uninhabitable biomes has 0 suitability
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if (flMean) s += normalize(cells.fl[i] + cells.conf[i], flMean, flMax) * 250; // big rivers and confluences are valued
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s -= (cells.h[i] - 50) / 5; // low elevation is valued, high is not;
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if (flMean) s += normalize(cells.fl[i] + cells.conf[i], flMean, flMax) * 50; // big rivers and confluences are valued
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s -= (cells.h[i] - 50) / 25; // low elevation is valued, high is not;
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if (cells.t[i] === 1) {
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if (cells.r[i]) s += 15; // estuary is valued
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const feature = features[cells.f[cells.haven[i]]];
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if (feature.type === 'lake') {
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if (feature.group === 'freshwater') s += 30;
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else if (feature.group == 'salt') s += 10;
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else if (feature.group == 'frozen') s += 1;
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else if (feature.group == 'dry') s -= 5;
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else if (feature.group == 'sinkhole') s -= 5;
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else if (feature.group == 'lava') s -= 30;
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if (cells.r[i]) s += 3; // estuary is valued
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const {type, group} = features[cells.f[cells.haven[i]]];
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if (type === 'lake') {
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if (group === 'freshwater') s += 5;
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else if (group == 'salt') s += 2;
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else if (group == 'dry') s -= 1;
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else if (group == 'sinkhole') s -= 1;
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else if (group == 'lava') s -= 6;
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} else {
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s += 5; // ocean coast is valued
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if (cells.harbor[i] === 1) s += 20; // safe sea harbor is valued
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s += 1; // ocean coast is valued
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if (cells.harbor[i] === 1) s += 4; // safe sea harbor is valued
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}
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}
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@ -1584,9 +1582,17 @@ function rankCells() {
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const resBonus = (cellRes ? cellRes + 10 : 0) + neibRes;
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// cell rural population is suitability adjusted by cell area
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cells.pop[i] = cells.s[i] > 0 ? (cells.s[i] * cells.area[i]) / areaMean : 0;
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cells.pop[i] = s > 0 ? (s * POP_BALANCER * cells.area[i]) / areaMean : 0;
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cells.s[i] = s + resBonus;
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debug.append('text').attr('x', cells.p[i][0]).attr('y', cells.p[i][1]).text(cells.s[i]);
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}
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console.log(resBonuses);
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console.log(d3.max(resBonuses));
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console.log(d3.mean(resBonuses));
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console.log(d3.median(resBonuses.map((v) => rn(v))));
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TIME && console.timeEnd('rankCells');
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}
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