지리적 위치를 사용한 React 바인딩 CSV 파일

Ignite UI for React 사용하면 다양한 파일 유형에서 로드된 지리적 데이터를 플로팅할 수 있습니다. 예를 들어, 쉼표로 구분된 값(CSV) 파일에서 지리적 위치를 로드할 수 있습니다.

React Binding CSV Files with Geographic Locations Example

EXAMPLE

DATA

TSX

export default class WorldUtils {

    // calculate geo-paths between two locations using great circle formula
    public static calcPaths(origin: any, dest: any): any[] {
        let interval = 200;
        let paths: any[] = [[]];
        let pathID = 0;
        let distance = this.calcDistance(origin, dest);
        if (distance <= interval) {
            paths[pathID].push({ x: origin.lon, y: origin.lat });
            paths[pathID].push({ x: dest.lon, y: dest.lat });
        } else {
            let current = origin;
            let previous = origin;

            for (let dist = interval; dist <= distance; dist += interval)
            {
                previous = current
                paths[pathID].push({ x: current.lon, y: current.lat });

                let bearing = this.calcBearing(current, dest);
                current = this.calcDestination(current, bearing, interval);
                // ensure geo-path wrap around the world through the new date-line
                if (previous.lon > 150 && current.lon < -150) {
                    paths[pathID].push({ x: 180, y: current.lat });
                    paths.push([]);
                    pathID++
                    current = { lon: -180, lat: current.lat }
                } else if (previous.lon < -150 && current.lon > 150) {
                    paths[pathID].push({ x: -180, y: current.lat });
                    paths.push([]);
                    pathID++
                    current = { lon: 180, lat: current.lat }
                }
            }
            paths[pathID].push({ x: dest.lon, y: dest.lat });
        }
        return paths;
    }

    // calculate bearing angle between two locations
    public static calcBearing(origin: any, dest: any): number
    {
        origin = this.toRadianLocation(origin);
        dest = this.toRadianLocation(dest);
        let range = (dest.lon - origin.lon);
        let y = Math.sin(range) * Math.cos(dest.lat);
        let x = Math.cos(origin.lat) * Math.sin(dest.lat) -
                Math.sin(origin.lat) * Math.cos(dest.lat) * Math.cos(range);
        let angle = Math.atan2(y, x);
        return this.toDegreesNormalized(angle);
    }

    // calculate destination for origin location and travel distance
    public static calcDestination(origin: any, bearing: number, distance: number): any {
        let radius = 6371.0;
        origin = this.toRadianLocation(origin);
        bearing = this.toRadians(bearing);
        distance = distance / radius; // angular distance in radians

        let lat = Math.asin(Math.sin(origin.lat) * Math.cos(distance) +
                       Math.cos(origin.lat) * Math.sin(distance) * Math.cos(bearing));
        let x = Math.sin(bearing) * Math.sin(distance) * Math.cos(origin.lat);
        let y = Math.cos(distance) - Math.sin(origin.lat) * Math.sin(origin.lat);
        let lon = origin.lon + Math.atan2(x, y);
        // normalize lon to coordinate between -180º and +180º
        lon = (lon + 3 * Math.PI) % (2 * Math.PI) - Math.PI;

        lon = this.toDegrees(lon);
        lat = this.toDegrees(lat);

        return { lon: lon, lat: lat };
    }

    // calculate distance between two locations
    public static calcDistance(origin: any, dest: any): number {
        origin = this.toRadianLocation(origin);
        dest = this.toRadianLocation(dest);
        let sinProd = Math.sin(origin.lat) * Math.sin(dest.lat);
        let cosProd = Math.cos(origin.lat) * Math.cos(dest.lat);
        let lonDelta = (dest.lon - origin.lon);

        let angle = Math.acos(sinProd + cosProd * Math.cos(lonDelta));
        let distance = angle * 6371.0;
        return distance; // * 6371.0; // in km
    }

    public static toRadianLocation(geoPoint: any): any {
        let x = this.toRadians(geoPoint.lon);
        let y = this.toRadians(geoPoint.lat);
        return { lon: x, lat: y };
    }

    public static toRadians(degrees: number): number
    {
        return degrees * Math.PI / 180;
    }

    public static toDegrees(radians: number): number {
        return (radians * 180.0 / Math.PI);
    }

    public static toDegreesNormalized(radians: number): number
    {
        let degrees = this.toDegrees(radians);
        degrees = (degrees + 360) % 360;
        return degrees;
    }

    // converts latitude coordinate to a string
    public static toStringLat(latitude: number): string {
        let str = Math.abs(latitude).toFixed(1) + "°";
        return latitude > 0 ? str + "N" : str + "S";
    }

    // converts longitude coordinate to a string
    public static toStringLon(coordinate: number): string {
        let val = Math.abs(coordinate);
        let str = val < 100 ? val.toFixed(1) : val.toFixed(0);
        return coordinate > 0 ? str + "°E" : str + "°W";
    }

    public static toStringAbbr(value: number): string {
        if (value > 1000000000000) {
            return (value / 1000000000000).toFixed(1) + " T"
        } else if (value > 1000000000) {
            return (value / 1000000000).toFixed(1) + " B"
        } else if (value > 1000000) {
            return (value / 1000000).toFixed(1) + " M"
        } else if (value > 1000) {
            return (value / 1000).toFixed(1) + " K"
        }
        return value.toFixed(0);
    }

    public static getLongitude(location: any): number {
        if (location.x) return location.x;
        if (location.lon) return location.lon;
        if (location.longitude) return location.longitude;
        return Number.NaN;
    }

    public static getLatitude(location: any): number {
        if (location.y) return location.y;
        if (location.lat) return location.lat;
        if (location.latitude) return location.latitude;
        return Number.NaN;
    }

    public static getBounds(locations: any[]): any {
        let minLat = 90;
        let maxLat = -90;
        let minLon = 180;
        let maxLon = -180;

        for (const location of locations) {
            const crrLon = this.getLongitude(location);
            if (!Number.isNaN(crrLon)) {
                minLon = Math.min(minLon, crrLon);
                maxLon = Math.max(maxLon, crrLon);
            }

            const crrLat = this.getLatitude(location);
            if (!Number.isNaN(crrLat)) {
                minLat = Math.min(minLat, crrLat);
                maxLat = Math.max(maxLat, crrLat);
            }

            // if (location.x) {
            //     minLon = Math.min(minLon, location.x);
            //     maxLon = Math.max(maxLon, location.x);
            // } else if (location.lon) {
            //     minLon = Math.min(minLon, location.lon);
            //     maxLon = Math.max(maxLon, location.lon);
            // } else if (location.longitude) {
            //     minLon = Math.min(minLon, location.longitude);
            //     maxLon = Math.max(maxLon, location.longitude);
            // }
            // if (location.y) {
            //     minLat = Math.min(minLat, location.y);
            //     maxLat = Math.max(maxLat, location.y);
            // } else if (location.lat) {
            //     minLat = Math.min(minLat, location.lat);
            //     maxLat = Math.max(maxLat, location.lat);
            // } else if (location.latitude) {
            //     minLat = Math.min(minLat, location.latitude);
            //     maxLat = Math.max(maxLat, location.latitude);
            // }
        }

        const geoBounds = {
            left: minLon,
            top: minLat,
            width: Math.abs(maxLon - minLon),
            height: Math.abs(maxLat - minLat)
        };
        return geoBounds;
    }

    public static getNightShapes(): any[] {
        let nightShape = [];

        let line: any[] = [];

        for (let lon = -180; lon <= 180; lon += 1) {

            // let line: any[] = [{x: lon, y: -90}, {x: lon, y: 90}];
            let x = lon;
            let y = 75 * Math.cos(lon * Math.PI / 180);
            line.push({x: x, y: y});
        }
        // line.push({x: 180, y: 90});
        // line.push({x: -180, y: 90});
        // line.push({x: -180, y: -90});

        let coordinateLine = {points: [line]};

        nightShape.push(coordinateLine);

        return nightShape;
    }

}
tsコピー

import React from 'react';
import ReactDOM from 'react-dom/client';
import './index.css';
import WorldUtils from "./WorldUtils"
import { IgrGeographicMapModule } from "@infragistics/igniteui-react-maps";
import { IgrGeographicMap } from "@infragistics/igniteui-react-maps";
import { IgrGeographicHighDensityScatterSeries } from "@infragistics/igniteui-react-maps";
import { IgrDataChartInteractivityModule } from "@infragistics/igniteui-react-charts";
import { IgrDataContext } from "@infragistics/igniteui-react-core";

IgrGeographicMapModule.register();
IgrDataChartInteractivityModule.register();

export default class MapBindingDataCSV extends React.Component {

    public geoMap: IgrGeographicMap;

    constructor(props: any) {
        super(props);

        this.onMapRef = this.onMapRef.bind(this);
    }

    public render(): JSX.Element {
        return (
            <div className="container sample">
                <div className="container" >
                    <IgrGeographicMap
                        ref={this.onMapRef}
                        width="100%"
                        height="100%"
                        zoomable="true"/>
                </div>
                <div className="overlay-bottom-right overlay-border">Imagery Tiles: @OpenStreetMap</div>
            </div>
        );
    }

    public onMapRef(geoMap: IgrGeographicMap) {
        if (!geoMap) { return; }

        this.geoMap = geoMap;
    }

    public componentDidMount() {
        // fetching JSON data with geographic locations from public folder

        fetch("https://static.infragistics.com/xplatform/data/UsaCitiesPopulation.csv")
            .then((response) => response.text())
            .then(data => this.onDataLoaded(data));
    }

    public onDataLoaded(csvData: string) {
        const csvLines = csvData.split("\n");
        // console.log("loaded UsaCitiesPopulation.csv " + csvLines.length);

        // parsing CSV data and creating geographic locations
        const geoLocations: any[] = [];
        for (let i = 1; i < csvLines.length; i++) {
            const columns = csvLines[i].split(",");
            const location = {
                latitude:  Number(columns[1]),
                longitude: Number(columns[2]),
                name:  columns[0],
                population: Number(columns[3])
            };
            geoLocations.push(location);
        }

        // creating HD series with loaded data
        const geoSeries = new IgrGeographicHighDensityScatterSeries( { name: "hdSeries" });
        geoSeries.dataSource = geoLocations;
        geoSeries.latitudeMemberPath  = "latitude";
        geoSeries.longitudeMemberPath = "longitude";
        geoSeries.heatMaximumColor = "Red";
        geoSeries.heatMinimumColor = "Black";
        geoSeries.heatMinimum = 0;
        geoSeries.heatMaximum = 5;
        geoSeries.pointExtent = 1;
        geoSeries.tooltipTemplate = this.createTooltip;
        geoSeries.mouseOverEnabled = true;

        // adding symbol series to the geographic amp
        this.geoMap.series.add(geoSeries);

        // zooming to bound of lower 48-states
        const geoBounds = {
            left: -130,
            top: 15,
            width: Math.abs(-130 + 65),
            height: Math.abs(50 - 15)
        };
        this.geoMap.zoomToGeographic(geoBounds);
    }

    public createTooltip(context: any) {
        const dataContext = context.dataContext as IgrDataContext;
        if (!dataContext) return null;

        const series = dataContext.series as any;
        if (!series) return null;

        const dataItem = dataContext.item as any;
        if (!dataItem) return null;

        const lat = WorldUtils.toStringLat(dataItem.latitude);
        const lon = WorldUtils.toStringLon(dataItem.longitude);
        const population = WorldUtils.toStringAbbr(dataItem.population);

        return <div>
            <div className="tooltipTitle">{dataItem.name}</div>
            <div className="tooltipBox">
                <div className="tooltipRow">
                    <div className="tooltipLbl">Latitude:</div>
                    <div className="tooltipVal">{lat}</div>
                </div>
                <div className="tooltipRow">
                    <div className="tooltipLbl">Longitude:</div>
                    <div className="tooltipVal">{lon}</div>
                </div>
                <div className="tooltipRow">
                    <div className="tooltipLbl">Population: </div>
                    <div className="tooltipVal">{population}</div>
                </div>
            </div>
        </div>
    }

}

// rendering above class to the React DOM
const root = ReactDOM.createRoot(document.getElementById('root'));
root.render(<MapBindingDataCSV/>);
tsxコピー

Edit in: Codesandbox

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Data Example

다음은 CSV 파일의 데이터 예입니다.

City,Lat,Lon,State,Code,County,Density,Population
New York,40.7856,-74.0093,New Jersey,NJ,Hudson,21057,54227
Dundee,42.5236,-76.9775,New York,NY,Yates,579,1650
ts

Code Snippet

다음 코드는 지도 구성 요소의 IgrGeographicHighDensityScatterSeries 지리적 위치가 포함된 로드된 CSV 파일에서 생성된 개체 배열에 로드하고 바인딩합니다.

import { IgrGeographicHighDensityScatterSeries } from 'igniteui-react-maps';
// ...

public componentDidMount() {
    // fetching CSV data with geographic locations from public folder
    fetch(url + "/Data/UsaCities.csv")
        .then((response) => response.text())
        .then(data => this.onDataLoaded(data));
}

public onDataLoaded(csvData: string) {
    const csvLines = csvData.split("\n");

    // parsing CSV data and creating geographic locations
    const geoLocations: any[] = [];
    for (let i = 1; i < csvLines.length; i++) {
        const columns = csvLines[i].split(",");
        // using CSV columns: City,Lat,Lon,State,Code,County,Density,Population
        const location = {
            name:  columns[0],
            latitude:  Number(columns[1]),
            longitude: Number(columns[2]),
            state: columns[3],
            code: columns[4],
            county: columns[5],
            density: Number(columns[6]),
            population: Number(columns[7])
        };
        geoLocations.push(location);
    }

    // creating HD series with loaded data
    const geoSeries = new IgrGeographicHighDensityScatterSeries( { name: "hdSeries" });
    geoSeries.dataSource = geoLocations;
    geoSeries.latitudeMemberPath  = "latitude";
    geoSeries.longitudeMemberPath = "longitude";
    geoSeries.heatMaximumColor = "Red";
    geoSeries.heatMinimumColor = "Black";
    geoSeries.heatMinimum = 0;
    geoSeries.heatMaximum = 5;
    geoSeries.pointExtent = 1;
    geoSeries.mouseOverEnabled = true;
    // adding symbol series to the geographic amp
    this.geoMap.series.add(geoSeries);
}
ts

API References

• IgrGeographicHighDensityScatterSeries
• DataSource
• latitudeMemberPath
• longitudeMemberPath
• heatMaximumColor
• heatMinimumColor
• pointExtent