Angular Choropleth Map Example

Demonstrates how to create a Angular 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.

New South Wales - 8,511,151Victoria - 7,012,962Queensland - 5,608,666Western Australia - 2,981,752South Australia - 1,882,722Tasmania - 575,959Australian Capital Territory - 475,644Northern Territory - 255,559

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drawExample.ts

angular.ts

theme.ts

australiaData.ts

helpers.ts

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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};
166

Map Example - Angular

Overview

This Angular standalone component displays an interactive Australia map using ScichartAngularComponent. It demonstrates geographic visualization with Angular's component architecture.

Technical Implementation

The chart configuration is encapsulated in drawExample.ts, which is passed to the Angular component. The implementation uses NumericAxis for coordinate mapping and XyDataSeries for geographic data. 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

Features and Capabilities

The component supports dynamic metric switching with preserved aspect ratio. It combines triangle series for filled states, line series for borders, and bubble series for city markers, demonstrating SciChart's multi-series capabilities.

Integration and Best Practices

The example follows Angular best practices using standalone components and proper chart disposal.

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