Demonstrates how to create a Polar Map Example using our PolarTriangleRenderableSeries class, along with a triangulation alorithm.
drawExample.ts
angular.ts
constrainedDelaunayTriangulation.ts
1import {
2 NumberRange,
3 XyDataSeries,
4 ETriangleSeriesDrawMode,
5 PolarPanModifier,
6 PolarZoomExtentsModifier,
7 PolarMouseWheelZoomModifier,
8 PolarTriangleRenderableSeries,
9 PolarNumericAxis,
10 EPolarAxisMode,
11 EAxisAlignment,
12 SciChartPolarSurface,
13} from "scichart";
14
15import constrainedDelaunayTriangulation from "./constrainedDelaunayTriangulation";
16
17export const drawExample = async (rootElement: string | HTMLDivElement) => {
18 // Create a SciChartSurface
19 const { wasmContext, sciChartSurface } = await SciChartPolarSurface.create(rootElement);
20
21 sciChartSurface.debugRendering = false;
22
23 let showFromSouthPole = false;
24
25 const setView = (positionFromSPole: boolean) => {
26 showFromSouthPole = positionFromSPole;
27
28 sciChartSurface.xAxes.clear();
29 sciChartSurface.yAxes.clear();
30 sciChartSurface.renderableSeries.clear(true);
31
32 const xAxis = new PolarNumericAxis(wasmContext, {
33 polarAxisMode: EPolarAxisMode.Angular,
34 visibleRange: new NumberRange(-180, 180), // longitude
35 flippedCoordinates: showFromSouthPole ? true : false,
36 axisAlignment: EAxisAlignment.Bottom,
37 useNativeText: true,
38 drawMajorBands: false,
39 drawMajorGridLines: false,
40 drawMajorTickLines: false,
41 drawMinorGridLines: false,
42 drawMinorTickLines: false,
43 labelPrecision: 0
44 });
45 sciChartSurface.xAxes.add(xAxis);
46
47 const yAxis = new PolarNumericAxis(wasmContext, {
48 polarAxisMode: EPolarAxisMode.Radial,
49 visibleRange: new NumberRange(-90, 90), // latitude
50 axisAlignment: EAxisAlignment.Left,
51 flippedCoordinates: showFromSouthPole ? false : true,
52 useNativeText: true,
53 drawMajorBands: false,
54 drawMajorGridLines: false,
55 drawMajorTickLines: false,
56 drawMinorGridLines: false,
57 drawMinorTickLines: false,
58 labelPrecision: 0
59 });
60 sciChartSurface.yAxes.add(yAxis);
61 };
62
63 setView(true);
64
65 const [min, max] = [140, 1379302771]; // population min max
66
67 function interpolateColor(min: number, max: number, value: number) {
68 // Clamp value between min and max
69 value = Math.max(min, Math.min(max, value));
70 // Normalize to [0,1]
71 let t = (value - min) / (max - min);
72
73 // Parse hex colors to RGB
74 function hexToRgb(hex: string) {
75 hex = hex.replace(/^#/, "");
76 if (hex.length === 3)
77 hex = hex
78 .split("")
79 .map((x) => x + x)
80 .join("");
81 const num = parseInt(hex, 16);
82 return [num >> 16, (num >> 8) & 255, num & 255];
83 }
84
85 // Interpolate between two RGB colors
86 function lerp(a: number, b: number, t: number) {
87 return Math.round(a + (b - a) * t);
88 }
89
90 const colorA = hexToRgb("#ffffff");
91 const colorB = hexToRgb("#1e3489");
92 const r = lerp(colorA[0], colorB[0], t);
93 const g = lerp(colorA[1], colorB[1], t);
94 const b = lerp(colorA[2], colorB[2], t);
95
96 // Convert back to hex
97 return "#" + [r, g, b].map((x) => x.toString(16).padStart(2, "0")).join("");
98 }
99
100 let dataArray: { name: string; gdp: number; population: number; areaData: number[][] }[] = [];
101
102 const setMapJson = (mapData: { features: any[] }) => {
103 dataArray = [];
104
105 mapData?.features.forEach((state, i) => {
106 if (state.geometry.type === "Polygon") {
107 let area = state.geometry.coordinates[0];
108 area.pop();
109 let areaData = [].concat(...constrainedDelaunayTriangulation(area));
110
111 dataArray.push({
112 name: state.properties.NAME,
113 gdp: +state.properties.GDP_MD_EST,
114 population: +state.properties.POP_EST,
115 areaData,
116 });
117 } else {
118 let polyArea = state.geometry.coordinates;
119
120 if (state.properties.SOVEREIGNT === "Antarctica" && showFromSouthPole === false) {
121 return;
122 }
123
124 polyArea.forEach((a: any[]) => {
125 let area = a[0];
126
127 area.pop();
128 let areaData = [].concat(...constrainedDelaunayTriangulation(area));
129
130 dataArray.push({
131 name: state.properties.NAME,
132 gdp: +state.properties.GDP_MD_EST,
133 population: +state.properties.POP_EST,
134 areaData,
135 });
136 });
137 }
138 });
139 };
140
141 const setMap = () => {
142 sciChartSurface.renderableSeries.clear(true);
143
144 const series = dataArray.map((d, i) => {
145 const dataSeries = new XyDataSeries(wasmContext, {
146 xValues: d.areaData.map((p) => p[0]),
147 yValues: d.areaData.map((p) => p[1]),
148 });
149
150 const triangleSeries = new PolarTriangleRenderableSeries(wasmContext, {
151 dataSeries: dataSeries,
152 drawMode: ETriangleSeriesDrawMode.List,
153 fill: interpolateColor(min, max, d.population),
154 opacity: 0.9,
155 });
156
157 return triangleSeries;
158 });
159
160 sciChartSurface.renderableSeries.add(...series);
161 };
162
163 sciChartSurface.chartModifiers.add(new PolarPanModifier());
164 sciChartSurface.chartModifiers.add(new PolarZoomExtentsModifier());
165 sciChartSurface.chartModifiers.add(new PolarMouseWheelZoomModifier());
166 return { sciChartSurface, wasmContext, setMapJson, setMap, setView };
167};
168This Angular implementation demonstrates a polar map visualization using the SciChart Angular wrapper. The standalone component displays geographic data as triangles on polar coordinates with dynamic view switching.
The chart is initialized through the [initChart] input binding, which creates a SciChartPolarSurface with configured axes. Geographic data is loaded via HTTP client and processed into triangles using the constrained Delaunay algorithm.
The component maintains the same core functionality as other frameworks, including population-based coloring and polar coordinate transformations. Angular's change detection ensures proper updates when switching between North/South pole views.
The example follows Angular best practices for standalone components and async data loading. The SciChart Angular wrapper simplifies integration while maintaining full access to SciChart's API.

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