rn_supermap/test_mode/App(聚合图).js

rn_supermap 一款基于React-Native框架的移动应用开发工具。基于该开发工具，用户可以使用JavaScript开发语言，开发出在Android和IOS操作系统下运行的原生移动GIS应用，入门门槛低，一次开发，处处运行。

/**
 * Sample React Native App
 * https://github.com/facebook/react-native
 * @flow
 */

import React, { Component } from "react";
import {
  Platform,
  StyleSheet,
  Text,
  View,
  TouchableHighlight,
} from "react-native";
import {
  Workspace,
  SMMapView,
  Utility,
  GridHotChart,
  Point2D,
  ColorScheme,
  ChartPoint,
  BarChartData,
  BarChartDataItem,
  PieChartData,
  SMBarChartView,
  PolymerChart,
} from "rn_supermap";

const instructions = Platform.select({
  ios: "Press Cmd+R to reload,\n" + "Cmd+D or shake for dev menu",
  android:
    "Double tap R on your keyboard to reload,\n" +
    "Shake or press menu button for dev menu",
});

export default class App extends Component<{}> {
  state = {
    barData: false,
  };
  _onGetInstance = (mapView) => {
    this.mapView = mapView;
    this._addMap();
  };
  render() {
    return (
      <View style={styles.container}>
        <SMMapView
          ref="mapView"
          style={styles.map}
          onGetInstance={this._onGetInstance}
        />
        {this.state.barData && (
          <SMBarChartView
            isValueAlongXAxis={true}
            style={styles.chart}
            title={"chart"}
            isValueAlongXAxis={true}
            data={this.state.barData}
          />
        )}
        <View style={styles.buttons}>
          <TouchableHighlight style={styles.button} onPress={this._barChart}>
            <Text style={styles.button_text}>BarChart</Text>
          </TouchableHighlight>
          <TouchableHighlight
            style={styles.button}
            onPress={this._gridHotChart}
          >
            <Text style={styles.button_text}>GridHotChart</Text>
          </TouchableHighlight>
        </View>
      </View>
    );
  }

  _addMap = () => {
    var workspaceModule = new Workspace();
    (async function () {
      this.workspace = await workspaceModule.createObj();
      this.mapControl = await this.mapView.getMapControl();
      this.map = await this.mapControl.getMap();

      var filePath = "/SampleData/hotMap.smwu";
      if (Platform.OS === "ios") {
        filePath = await Utility.appendingHomeDirectory(
          "/Documents/hotMap.smwu"
        );
      }
      var openWk = await this.workspace.open(filePath);
      this.datasource = await this.workspace.getDatasource(0);

      await this.map.setWorkspace(this.workspace);
      var mapName = await this.workspace.getMapName(0);
      await this.map.open(mapName);
      await this.map.refresh();
    }.bind(this)());
  };

  _barChart = async () => {
    var layer = await this.map.getLayer(0);
    var dataset = await layer.getDataset();
    await console.log("name:" + layer.getName());
    var datasetVector = await dataset.toDatasetVector();
    var lables = ["四川", "河南", "广东", "山西", "山东"];
    var barChartDataMoudle = new BarChartData();
    var barChartDataItemMouble = new BarChartDataItem();

    var datas1 = [];
    var datas2 = [];
    //调色板
    var colorsArr = [
      [188, 254, 151],
      [255, 245, 151],
      [126, 237, 253],
      [255, 205, 147.0],
      [125, 125, 151],
    ];

    for (var i = 0; i < lables.length; i++) {
      var value1 = await datasetVector.getFieldValue(
        "NAME = '" + lables[i] + "'",
        "HIGHSCHOOL_1990"
      );
      var id = await datasetVector.getFieldValue(
        "NAME = '" + lables[i] + "'",
        "SmID"
      );
      var value2 = await datasetVector.getFieldValue(
        "NAME = '" + lables[i] + "'",
        "HIGHSCHOOL_2000"
      );
      console.log("value1:" + value1 + ";value2:" + value2 + ";id:" + id);
      var barChartDataItem = await barChartDataItemMouble.createObj(
        value1[0],
        colorsArr[i],
        lables[i],
        id[0]
      );
      var barChartDataItem1 = await barChartDataItemMouble.createObj(
        value2[0],
        colorsArr[i],
        lables[i],
        id[0]
      );
      await datas1.push(barChartDataItem);
      await datas2.push(barChartDataItem1);
    }
    var barChartData = await barChartDataMoudle.createObj("2000", datas1);
    var dataArr = [];
    await dataArr.push(barChartData.barChartDataId);
    var barChartData1 = await barChartDataMoudle.createObj("2001", datas2);
    await dataArr.push(barChartData1.barChartDataId);
    this.setState({
      barData: dataArr,
    });
  };

  //数据量大，显示性能极低；
  _gridHotChart = async () => {
    var layersCount = await this.map.getLayersCount();
    for (var i = 0; i < layersCount; i++) {
      var layer = await this.map.getLayer(i);
      await layer.setVisible(false);
    }
    var layer = await this.map.getLayer("Provinces_R@hotMap");
    await layer.setVisible(true);

    var pointMoudle = new Point2D();
    var center = await pointMoudle.createObj(
      116.58764784354724,
      39.823781647298183
    );
    await this.map.setCenter(center);
    await this.map.refresh();

    var gridHotChartMoudle = new PolymerChart();
    var gridHotChart = await gridHotChartMoudle.createObj(this.mapControl);
    await gridHotChart.setPolymerizationType(1);

    // await gridHotChart.setTitle("热力图");
    // var legend = await gridHotChart.getLegend();

    /*
        var colorsMoudle = new ColorScheme();
        var colorsArr = [[252,165,93],[227,74,51],[165,0,38]];
        var colors = await colorsMoudle.createObj();
        await colors.setColors(colorsArr);
        var values = [1,5,15];
        await colors.setSegmentValue(values);
        await gridHotChart.setColorScheme(colors);
*/

    var dataset = await this.datasource.getDataset(5);
    var datasetVector = await dataset.toDatasetVector();
    var points = await datasetVector.getGeoInnerPoint("SMID <= 20000");
    var chartpointMoudle = new ChartPoint();
    var dataArr = [];

    for (var i = 0; i < points.length; i++) {
      var x = await points[i][0];
      var y = await points[i][1];
      var chartpoint = await chartpointMoudle.createObj(8, x, y);
      dataArr.push(chartpoint);
    }

    await gridHotChart.addChartData(dataArr);
    // await gridHotChart.update();
    this.forceUpdate();
  };
}

const styles = StyleSheet.create({
  container: {
    flex: 1,
    justifyContent: "center",
    alignItems: "center",
    backgroundColor: "#F5FCFF",
  },
  map: {
    flex: 0.8,
    alignSelf: "stretch",
  },
  list: {
    flex: 0.2,
    flexDirection: "row",
    flexWrap: "wrap",
    justifyContent: "space-between",
    alignContent: "flex-start",
  },
  chart: {
    flex: 0.8,
    backgroundColor: "#ffffff",
    alignSelf: "stretch",
  },
  buttons: {
    flex: 1,
    flexDirection: "column",
    justifyContent: "flex-start",
    top: 20,
    left: 10,
    width: 100,
    height: 300,
    position: "absolute",
  },
  button: {
    flex: 0,
    width: 100,
    height: 20,
    marginBottom: 8,
    opacity: 0.6,
    backgroundColor: "#333333",
    borderRadius: 5,
  },
  button_text: {
    textAlign: "center",
    color: "#f0f8ff",
    padding: 4,
    fontSize: 12,
  },
});