Create a scale-dependent visualization

This sample demonstrates how to create a scale-dependent visualization with a HeatmapRenderer and a SimpleRenderer.

A HeatmapRenderer is ideal for visualizing large, dense point datasets, particularly those that have lots of overlapping points. However, the heatmap is only effective at certain scales. It particularly tends to fail to convey useful information at large scales.

You can setup a watch on the view's scale property and set a scale threshold where the layer's renderer can switch from a heatmap to discrete marker symbols as the user zooms to large scales.

Use dark colors for code blocksCopy
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117  view.when().then(() => {  // When the view is ready, clone the heatmap renderer  // from the only layer in the web map   const layer = view.map.layers.getItemAt(0);  const heatmapRenderer = layer.renderer.clone();   // The following simple renderer will render all points as simple  // markers at certain scales  const simpleRenderer = {  type: "simple",  symbol: {  type: "simple-marker",  color: "#c80000",  size: 5,  },  };   // When the scale is larger than 1:72,224 (zoomed in passed that scale),  // then switch from a heatmap renderer to a simple renderer. When zoomed  // out beyond that scale, switch back to the heatmap renderer  reactiveUtils.watch(  () => view.scale,  (scale) => {  layer.renderer = scale <= 72224 ? simpleRenderer : heatmapRenderer;  },  );  }); 

This will create a more ideal visualization at large and small scales.

Your browser is no longer supported. Please upgrade your browser for the best experience. See our browser deprecation post for more details.