maxwellbo.github.io/partitionguessr.html at master · MaxwellBo/maxwellbo.github.io · GitHub

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<!DOCTYPE html>
<html>
<head>
  <title>partitionguessr</title>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <link rel="stylesheet" href="https://unpkg.com/leaflet@1.7.1/dist/leaflet.css" />
  <style>
    /* We want to keep styling as minimal as possible. We want a "raw"
    HTML aesthetic */
    #map {
      width: 100%;
      height: 600px;
    }
    #query-meta {
      margin: 0.5rem 0;
      font-family: monospace;
    }
    #query-status {
      margin: 0.5rem 0;
    }
    #char-count.over {
      color: #b00020;
      font-weight: bold;
    }
  </style>
</head>
<body>
  <h1>partitionguessr</h1>

  <p>
    In partitionguessr, you create an
    <a href="https://www.openstreetmap.org/" target="_blank" rel="noopener noreferrer">OpenStreetMap</a>
    <a href="https://overpass-turbo.eu/" target="_blank" rel="noopener noreferrer">Overpass Turbo</a> query.
    The returned points are joined into a short path and plotted as your partition line.
    With a long enough query you could effectively
    <a href="https://en.wikipedia.org/wiki/Gerrymandering" target="_blank" rel="noopener noreferrer">gerrymander</a>
    anything, so the query is limited to 256 characters.
  </p>

  <p>
    Aim for a 50% / 50% split of points on each side of your line (0% difference).
    If your split is 55% / 45%, your score is 5% difference.
  </p>

  <p>
    Skill grades:
    <br>&lt; 5% GOLD
    <br>&lt; 10% SILVER
    <br>&lt; 15% BRONZE
  </p>

  <a href="https://honisoit.com/2017/09/food-fault-lines-mapping-class-division-through-food-chains/">https://honisoit.com/2017/09/food-fault-lines-mapping-class-division-through-food-chains/</a>
  <br>
  <a href="https://x.com/SardineTruther/status/1924725005675593970?t=23LKn0gjnV0FRQWZ7a3f5A&s=19">https://x.com/SardineTruther/status/1924725005675593970?t=23LKn0gjnV0FRQWZ7a3f5A&s=19</a>

  <script src="https://unpkg.com/leaflet@1.7.1/dist/leaflet.js"></script>
  <script src="https://cdn.jsdelivr.net/npm/@turf/turf@7.0.0/turf.min.js"></script>

  <div>
    <form id="overpass-form">
      <textarea id="overpass-query" rows="10" cols="60" placeholder="Enter your Overpass Turbo query here...">[out:json][timeout:25];

(
  node["name"~"Red Rooster", i]({{bbox}});
  way["name"~"Red Rooster", i]({{bbox}});
  relation["name"~"Red Rooster", i]({{bbox}});
);

out geom;</textarea>
      <div id="query-meta">
        Query length: <span id="char-count">0 / 256</span>
      </div>
      <br>
      <button type="submit">Run query</button>
    </form>
    <div id="query-status"></div>
  </div>

  <div id="map"></div>

  <pre id="geojson-out"></pre>

  <script type="module">
    const MAX_QUERY_CHARS = 256;
    const BBOX = [-34.02136404964111, 150.77362060546875, -33.67978264318627, 151.5220642089844];
    const SA2_DATA_URL = 'data/partitionguessr/sa2_nsw_2021_income_joined.geojson';
    const osmtogeojson = await import('https://cdn.skypack.dev/osmtogeojson@3.0.0-beta.5?min');

    const map = L.map('map').setView([-33.8688, 151.2093], 13);
    L.tileLayer('https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png', {
      maxZoom: 19,
    }).addTo(map);

    const overpassForm = document.getElementById('overpass-form');
    const queryInput = document.getElementById('overpass-query');
    const statusElement = document.getElementById('query-status');
    const geoJSONOutElement = document.getElementById('geojson-out');
    const charCountElement = document.getElementById('char-count');

    let activeDataLayer = null;
    let activePathLayer = null;
    let activeSa2Layer = null;
    let sa2IncomeFeatures = [];

    function updateCharCount() {
      const length = queryInput.value.length;
      charCountElement.textContent = `${length} / ${MAX_QUERY_CHARS}`;
      charCountElement.classList.toggle('over', length > MAX_QUERY_CHARS);
    }

    function toPointList(featureCollection) {
      const points = [];
      for (const feature of featureCollection.features) {
        if (!feature.geometry) {
          continue;
        }

        if (feature.geometry.type === 'Point') {
          points.push(feature.geometry.coordinates);
        } else if (feature.geometry.type === 'MultiPoint') {
          points.push(...feature.geometry.coordinates);
        }
      }
      return points;
    }

    function nearestNeighborPath(points) {
      if (points.length <= 1) {
        return points;
      }

      const remaining = points.slice(1);
      const ordered = [points[0]];

      while (remaining.length > 0) {
        const last = ordered[ordered.length - 1];
        let bestIndex = 0;
        let bestDistance = Infinity;

        for (let i = 0; i < remaining.length; i++) {
          const candidate = remaining[i];
          const dx = candidate[0] - last[0];
          const dy = candidate[1] - last[1];
          const distanceSquared = dx * dx + dy * dy;
          if (distanceSquared < bestDistance) {
            bestDistance = distanceSquared;
            bestIndex = i;
          }
        }

        ordered.push(remaining.splice(bestIndex, 1)[0]);
      }

      return ordered;
    }

    function getColorForIncome(income) {
      if (!Number.isFinite(income)) {
        return '#cccccc';
      }
      if (income < 900) return '#f7fbff';
      if (income < 1100) return '#deebf7';
      if (income < 1300) return '#c6dbef';
      if (income < 1500) return '#9ecae1';
      if (income < 1800) return '#6baed6';
      if (income < 2200) return '#4292c6';
      return '#2171b5';
    }

    function extractSa2IncomeFeatures(sa2Geojson) {
      const out = [];

      for (const feature of sa2Geojson.features) {
        if (!feature.geometry || !feature.properties) {
          continue;
        }

        const income = Number(feature.properties.median_equivalised_household_income_weekly_2021);
        if (!Number.isFinite(income)) {
          continue;
        }

        const centroid = turf.centroid(feature);
        out.push({
          sa2Code: feature.properties.sa2_code_2021,
          sa2Name: feature.properties.sa2_name_2021,
          income,
          coordinates: centroid.geometry.coordinates,
        });
      }

      return out;
    }

    function getIncomeSplit(pathCoords, weightedPoints) {
      if (pathCoords.length < 2 || weightedPoints.length === 0) {
        return null;
      }

      let leftIncome = 0;
      let rightIncome = 0;

      for (const point of weightedPoints) {
        const p = point.coordinates;
        let nearestSegmentIndex = 0;
        let nearestDistance = Infinity;

        for (let i = 0; i < pathCoords.length - 1; i++) {
          const segment = turf.lineString([pathCoords[i], pathCoords[i + 1]]);
          const distance = turf.pointToLineDistance(turf.point(p), segment, { units: 'kilometers' });
          if (distance < nearestDistance) {
            nearestDistance = distance;
            nearestSegmentIndex = i;
          }
        }

        const [x1, y1] = pathCoords[nearestSegmentIndex];
        const [x2, y2] = pathCoords[nearestSegmentIndex + 1];
        const [px, py] = p;
        const cross = (x2 - x1) * (py - y1) - (y2 - y1) * (px - x1);

        if (cross >= 0) {
          leftIncome += point.income;
        } else {
          rightIncome += point.income;
        }
      }

      const total = leftIncome + rightIncome;
      if (!total) {
        return null;
      }

      const leftPercent = (leftIncome / total) * 100;
      const rightPercent = (rightIncome / total) * 100;
      return {
        leftIncome,
        rightIncome,
        leftPercent,
        rightPercent,
        difference: Math.abs(leftPercent - 50),
      };
    }

    async function loadSa2IncomeData() {
      const response = await fetch(SA2_DATA_URL);
      if (!response.ok) {
        throw new Error(`Failed to load SA2 income data (${response.status})`);
      }

      const sa2Geojson = await response.json();
      sa2IncomeFeatures = extractSa2IncomeFeatures(sa2Geojson);

      if (activeSa2Layer) {
        map.removeLayer(activeSa2Layer);
      }

      activeSa2Layer = L.geoJSON(sa2Geojson, {
        style: function (feature) {
          const income = Number(feature.properties?.median_equivalised_household_income_weekly_2021);
          return {
            color: '#555',
            weight: 0.5,
            fillOpacity: 0.35,
            fillColor: getColorForIncome(income),
          };
        },
        onEachFeature: function (feature, layer) {
          const props = feature.properties || {};
          const income = Number(props.median_equivalised_household_income_weekly_2021);
          const incomeText = Number.isFinite(income) ? `$${income.toLocaleString()}` : 'N/A';
          layer.bindPopup(
            `<strong>${props.sa2_name_2021 || 'Unknown SA2'}</strong><br>` +
            `Median equivalised household income (weekly): ${incomeText}`
          );
        }
      }).addTo(map);
    }

    queryInput.addEventListener('input', updateCharCount);
    updateCharCount();

    try {
      await loadSa2IncomeData();
      statusElement.textContent = `Loaded ${sa2IncomeFeatures.length} SA2 income areas.`;
    } catch (error) {
      statusElement.textContent = `Could not load SA2 income data: ${error.message}`;
    }

    overpassForm.addEventListener('submit', async function(e) {
      e.preventDefault();
      const rawQuery = queryInput.value;

      if (rawQuery.length > MAX_QUERY_CHARS) {
        statusElement.textContent = `Query is too long (${rawQuery.length} chars). Limit is ${MAX_QUERY_CHARS}.`;
        return;
      }

      statusElement.textContent = 'Running query...';
      geoJSONOutElement.textContent = '';

      const query = rawQuery.replace(/{{bbox}}/g, BBOX.join(','));

      try {
        if (activeDataLayer) {
          map.removeLayer(activeDataLayer);
          activeDataLayer = null;
        }
        if (activePathLayer) {
          map.removeLayer(activePathLayer);
          activePathLayer = null;
        }

        const response = await fetch('https://overpass-api.de/api/interpreter', {
          method: 'POST',
          body: 'data=' + encodeURIComponent(query),
          headers: {
            'Content-Type': 'application/x-www-form-urlencoded'
          }
        });

        if (!response.ok) {
          throw new Error(`Overpass request failed (${response.status})`);
        }

        const data = await response.json();
        const geojson = osmtogeojson.default(data || { elements: [] });
        const points = toPointList(geojson);
        const orderedPoints = nearestNeighborPath(points);

        const lineCollection = {
          type: 'FeatureCollection',
          features: []
        };

        if (orderedPoints.length >= 2) {
          for (let i = 0; i < orderedPoints.length - 1; i++) {
            const line = turf.lineString([orderedPoints[i], orderedPoints[i + 1]], {
              name: `Line ${i + 1}`,
              source: 'Generated nearest-neighbor path'
            });
            lineCollection.features.push(line);
          }

          activePathLayer = L.geoJSON(lineCollection, {
            style: {
              color: '#ff7800',
              weight: 4,
              opacity: 0.65
            }
          }).addTo(map);
        }

        activeDataLayer = L.geoJSON(geojson, {
          onEachFeature: function (feature, layer) {
            if (feature.properties) {
              layer.bindPopup(`<strong>${feature.properties.name || 'Unnamed'}</strong><br>ID: ${feature.properties.id || 'N/A'}`);
            }
          }
        }).addTo(map);

        if (activeDataLayer.getLayers().length > 0) {
          map.fitBounds(activeDataLayer.getBounds(), { padding: [20, 20] });
        }

        let scoreText = '';
        const split = getIncomeSplit(orderedPoints, sa2IncomeFeatures);

        if (split) {
          scoreText = ` Income split: ${split.leftPercent.toFixed(1)}% / ${split.rightPercent.toFixed(1)}% (${split.difference.toFixed(1)}% difference from 50/50).`;
        }

        statusElement.textContent = `Query completed successfully. ${geojson.features.length} features loaded.${scoreText}`;
        geoJSONOutElement.textContent = JSON.stringify(geojson, null, 2);
      } catch (error) {
        statusElement.textContent = 'Error running query: ' + error.message;
      }
    });
  </script>
</body>
</html>