Demonstrates how to create a JavaScript Choropleth map, a type of thematic map where areas are shaded or patterned in proportion to the value of a variable being represented, using our FastTriangleRenderableSeries.
drawExample.ts
index.html
vanilla.ts
theme.ts
australiaData.ts
helpers.ts
1import {
2 ZoomExtentsModifier,
3 ZoomPanModifier,
4 NumericAxis,
5 SciChartSurface,
6 NumberRange,
7 XyDataSeries,
8 ETriangleSeriesDrawMode,
9 FastTriangleRenderableSeries,
10 MouseWheelZoomModifier,
11 FastBubbleRenderableSeries,
12 EllipsePointMarker,
13 XyzDataSeries,
14 IPointMetadata,
15 EHorizontalTextPosition,
16 Thickness,
17 EVerticalTextPosition,
18 FastLineRenderableSeries,
19} from "scichart";
20
21import { appTheme } from "../../../theme";
22
23import { getMinMax, interpolateColor, keyData, australiaData, preserveAspectRatio } from "./helpers";
24
25import { australianCities } from "./australiaData";
26
27type Keytype = "population" | "population_density" | "area_km2";
28
29const dataArray: { name: string; areaData: number[][] }[] = [];
30const outlines: number[][][] = [];
31
32function setMapJson(mapJson: any) {
33 dataArray.length = 0;
34 outlines.length = 0;
35 mapJson.forEach((d: any) => {
36 outlines.push(d.outline);
37 dataArray.push({ name: d.name, areaData: d.areaData });
38 });
39}
40
41export const drawExample = async (rootElement: string | HTMLDivElement) => {
42 // Create a SciChartSurface
43 const { wasmContext, sciChartSurface } = await SciChartSurface.create(rootElement, {
44 theme: appTheme.SciChartJsTheme,
45 });
46
47 const growBy = new NumberRange(0.1, 0.1);
48
49 sciChartSurface.xAxes.add(new NumericAxis(wasmContext, { growBy, isVisible: true }));
50 sciChartSurface.yAxes.add(new NumericAxis(wasmContext, { growBy, isVisible: true }));
51
52 const xAxis = sciChartSurface.xAxes.get(0);
53 const yAxis = sciChartSurface.yAxes.get(0);
54
55 let firstTime = true;
56
57 const setMap = (key: Keytype) => {
58 sciChartSurface.renderableSeries.clear(true);
59
60 const [min, max] = getMinMax(key, australiaData);
61
62 const series = dataArray.map((d, i) => {
63 const dataSeries = new XyDataSeries(wasmContext, {
64 xValues: d.areaData.map((p) => p[0]),
65 yValues: d.areaData.map((p) => p[1]),
66 });
67
68 const triangleSeries = new FastTriangleRenderableSeries(wasmContext, {
69 dataSeries: dataSeries,
70 drawMode: ETriangleSeriesDrawMode.List,
71 fill: interpolateColor(min, max, keyData[d.name][key]),
72 opacity: 0.9,
73 });
74
75 return triangleSeries;
76 });
77
78 sciChartSurface.renderableSeries.add(...series);
79
80 // outline
81 const outlinesSC = outlines.map((outline) => {
82 const xVals = outline.map((d) => d[0]);
83 const yVals = outline.map((d) => d[1]);
84
85 //FastMountainRenderableSeries
86 const lineSeries = new FastLineRenderableSeries(wasmContext, {
87 dataSeries: new XyDataSeries(wasmContext, {
88 xValues: xVals,
89 yValues: yVals,
90 }),
91 stroke: "#FFFFFF",
92 strokeThickness: 1,
93 opacity: 1,
94 });
95
96 return lineSeries;
97 });
98
99 sciChartSurface.renderableSeries.add(...outlinesSC);
100
101 // cities
102 const cLongitude = australianCities.map((d) => d.longitude);
103 const clatitude = australianCities.map((d) => d.latitude);
104 const cSize = australianCities.map((d) => 5);
105 const cMetadata = australianCities.map((d) => d) as unknown as IPointMetadata[];
106
107 const citiesSeries = new FastBubbleRenderableSeries(wasmContext, {
108 pointMarker: new EllipsePointMarker(wasmContext, {
109 width: 64,
110 height: 64,
111 fill: appTheme.ForegroundColor,
112 strokeThickness: 0,
113 }),
114 dataSeries: new XyzDataSeries(wasmContext, {
115 xValues: cLongitude,
116 yValues: clatitude,
117 zValues: cSize,
118 metadata: cMetadata,
119 }),
120 dataLabels: {
121 verticalTextPosition: EVerticalTextPosition.Above,
122 horizontalTextPosition: EHorizontalTextPosition.Right,
123 style: {
124 fontFamily: "Arial",
125 fontSize: 14,
126 padding: new Thickness(0, 0, 3, 3),
127 },
128 color: appTheme.TextColor,
129 metaDataSelector: (md) => {
130 const metadata = md as unknown as { name: string };
131 return metadata.name.toString();
132 },
133 },
134 });
135 sciChartSurface.renderableSeries.add(citiesSeries);
136
137 if (firstTime) {
138 sciChartSurface.zoomExtents();
139 firstTime = false;
140 }
141 };
142
143 sciChartSurface.preRender.subscribe(() => {
144 const result = preserveAspectRatio(
145 sciChartSurface.viewRect.width,
146 sciChartSurface.viewRect.height,
147 xAxis.visibleRange.min,
148 xAxis.visibleRange.max,
149 yAxis.visibleRange.min,
150 yAxis.visibleRange.max
151 );
152
153 xAxis.visibleRange = new NumberRange(result.minVisibleX, result.maxVisibleX);
154 yAxis.visibleRange = new NumberRange(result.minVisibleY, result.maxVisibleY);
155 });
156
157 // Add zoom/pan controls
158 sciChartSurface.chartModifiers.add(
159 new ZoomExtentsModifier(),
160 new ZoomPanModifier({ enableZoom: true }),
161 new MouseWheelZoomModifier()
162 );
163
164 return { wasmContext, sciChartSurface, setMap, setMapJson };
165};
166This JavaScript example demonstrates how to create an interactive map of Australia using SciChart.js. It visualizes geographic data with FastTriangleRenderableSeries for terrain coloring and FastLineRenderableSeries for state outlines.
The implementation uses triangulation to convert geographic coordinates into renderable triangles with ETriangleSeriesDrawMode.List mode. Data is loaded from predefined arrays and styled based on population density metrics. The chart includes interactive modifiers like ZoomPanModifier for navigation. This example fetches australiaConverted.json from server. australiaConverted.json is array of objects and each object contains 'name', 'outline' and 'areaData'.
name is string that contains name of the location
outline is array of arrays that represent longitude and latitude of points that represent outline of area
areaData is array of arrays that represent series of coordinate points that form triangles used by SciChart's FastTriangleRenderableSeries to create shapes that represent area
areaData is generated using poly2tri - https://github.com/r3mi/poly2tri.js, a 2D constrained Delaunay triangulation library from GeoJSON representation of Australia map
The example shows dynamic recoloring of states based on selected metrics (population, area, or density) using a custom interpolation function. City markers are displayed using FastBubbleRenderableSeries with data labels.
The implementation follows JavaScript best practices with async chart initialization and proper surface disposal. The aspect ratio preservation logic ensures correct map proportions during resizing.

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