全国疫情统计可视化地图

Posted 2021-03-07 wendi

 

     第二阶段的要求是通过地图展示全国疫情的情况。

   1：首先要下载中国地图的插件 china.js  ，由于目前Echarts官网已经不提供地图的下载。下面是echarts.min.js  china.js和各个省份地图的js的资源，方便大家下载。

      链接: https://pan.baidu.com/s/1MFt-0LqAUQXzpiI1qy-Q0w 提取码: q7y4

      2： 要将数据库中数据传进地图去，自然要书写相应的bean目录、dao层以及servlet。bean目录的话不用多说，和之前的代码一样。下面贴上我的代码。

               

package com.bean;

public class Data {
    private int id;
    private String Date;
    private String Province;
    private String City;
    private String Confirmed_num;
    private String Yisi_num;
    private String Cured_num;
    private String Dead_num;
    private String Code;

    public int getId() {
        return id;
    }
    public void SetId(int id)
    {
        this.id=id;
    }
    public String getDate() {
        return Date;
    }
    public void SetDate(String Date) {
        this.Date = Date;
    }
    public String getProvince() {
        return Province;
    }
    public void SetProvince(String Province) {
        this.Province = Province;
    }
    public String getCity() {
        return City;
    }
    public void SetCity(String City) {
        this.City = City;
    }
    public String getConfirmed_num() {
        return Confirmed_num;
    }
    public void SetConfirmed_num(String Confirmed_num) {
        this.Confirmed_num = Confirmed_num;
    }
    public String getYisi_num() {
        return Yisi_num;
    }
    public void SetYisi_num(String Yisi_num) {
        this.Yisi_num = Yisi_num;
    }
    public String getCured_num() {
        return Cured_num;
    }
    public void SetCured_num(String Cured_num) {
        this.Cured_num = Cured_num;
    }
    public String getDead_num() {
        return Dead_num;
    }
    public void SetDead_num(String Dead_num) {
        this.Dead_num = Dead_num;
    }
    public String getCode() {
        return Code;
    }
    public void SetCode(String Code) {
        this.Code = Code;
    }
    
    public Data(int id,String Date,String Province,String City,String Confirmed_num,String Yisi_num,String Cured_num,String Dead_num,String Code) {
        this.id=id;
        this.Date = Date;
        this.Province = Province;
        this.City = City;
        this.Confirmed_num = Confirmed_num;
        this.Yisi_num = Yisi_num;
        this.Cured_num = Cured_num;
        this.Dead_num = Dead_num;
        this.Code = Code;
    }
    public Data(int id,String Province,String City,String Confirmed_num,String Yisi_num,String Cured_num,String Dead_num,String Code) {
        this.id=id;
        this.Province = Province;
        this.City = City;
        this.Confirmed_num = Confirmed_num;
        this.Yisi_num = Yisi_num;
        this.Cured_num = Cured_num;
        this.Dead_num = Dead_num;
        this.Code = Code;
    }
    public Data(int id,String Date,String Province,String Confirmed_num,String Cured_num,String Dead_num,String Code) {
        this.id=id;
        this.Date = Date;
        this.Province = Province;
        this.Confirmed_num = Confirmed_num;
        this.Cured_num = Cured_num;
        this.Dead_num = Dead_num;
        this.Code = Code;
    }
    public Data(String Date,String Province,String Confirmed_num,String Cured_num,String Dead_num,String Code) {
        this.Date = Date;
        this.Province = Province;
        this.Confirmed_num = Confirmed_num;
        this.Cured_num = Cured_num;
        this.Dead_num = Dead_num;
        this.Code = Code;
    }
    public Data(int id ,String Date,String Province,String Code) {
        this.id=id;
        this.Date = Date;
        this.Province = Province;
        this.Code = Code;
    }
    
}

com.bean

 

然后就是数据库的连接，连接的模板都是固定的，就不发出来了。接下来是dao层的书写，按照日期查找。定义List<Data> list方法存储查找到的数据

 

 

package com.dao;



import java.sql.Connection;
import java.sql.PreparedStatement;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.sql.Statement;
import java.util.ArrayList;
import java.util.List;

import com.bean.*;
import com.jdbc.Util;


public class Dao {
    
    public List<Data> dlist(String sDate,String eDate) { // 查询所有信息

        String begin="";
        String []s=sDate.split("-");
        for(int i=0;i<s.length;i++)
            begin+=s[i].toString();
        
        String end="";
        String []e=eDate.split("-");
        for(int i=0;i<e.length;i++)
            end+=e[i].toString();
        
        int bg=Integer.valueOf(begin);
        int ed=Integer.valueOf(end);
        
        List<Data> list = new ArrayList<Data>(); // 创建集合
        Connection conn = Util.getConn();
        String sql = "select * from info "; // SQL查询语句

        try {

            PreparedStatement pst = conn.prepareStatement(sql);

            ResultSet rs = pst.executeQuery();
            
            Data data = null;
            
            while (rs.next()) {


                int id= rs.getInt("id");;
                
                String Province = rs.getString("Province");
                
                String Confirmed_num = rs.getString("Confirmed_num");
                
                String Yisi_num = rs.getString("Yisi_num");
                
                String Cured_num = rs.getString("Cured_num");
                
                String Dead_num = rs.getString("Dead_num");
                
                String Code = rs.getString("Code");
                
                String City = rs.getString("City");
                
                String Date=rs.getString("Date");
                
                String num="";
                String date=Date.substring(0, 10);
                String []d=date.split("-");
                for(int i=0;i<d.length;i++)
                    {
                        num+=d[i].toString();
                    }
                int k=Integer.valueOf(num);
                
                if(k>=bg&&k<=ed) {
                    data = new Data(id,Province,City,Confirmed_num,Yisi_num,Cured_num,Dead_num,Code);
                }
                list.add(data);

            }

            rs.close(); // 关闭

            pst.close(); // 关闭

        } catch (SQLException e1) {

            e1.printStackTrace(); // 抛出异常

        }

        return list; // 返回一个集合

    }
    public List<Data> list(String Date) { // 查询所有信息

        String begin="";
        String []s=Date.split("-");
        for(int i=0;i<s.length;i++)
            begin+=s[i].toString();
        int bg=Integer.valueOf(begin);
        
        List<Data> list = new ArrayList<Data>(); // 创建集合
        Connection conn = Util.getConn();
        String sql = "select * from info"; // SQL查询语句

        try {

            PreparedStatement pst = conn.prepareStatement(sql);

            ResultSet rs = pst.executeQuery();
            
            Data data = null;
            int index=1;
            while (rs.next()) {

                
                int id= rs.getInt("id");;
                
                String Province = rs.getString("Province");
                
                String Confirmed_num = rs.getString("Confirmed_num");
                
                String Yisi_num = rs.getString("Yisi_num");
                
                String Cured_num = rs.getString("Cured_num");
                
                String Dead_num = rs.getString("Dead_num");
                
                String Code = rs.getString("Code");
                
                String City = rs.getString("City");
                
                String num="";
                String date=Date.substring(0, 10);
                String []d=date.split("-");
                for(int i=0;i<d.length;i++)
                    {
                        num+=d[i].toString();
                    }
                int k=Integer.valueOf(num);
                
                if(k==bg&&index<=32) {
                    index++;
                    data = new Data(id,Date,Province,City,Confirmed_num,Yisi_num,Cured_num,Dead_num,Code);
                    list.add(data);
                }

            }

            rs.close(); // 关闭

            pst.close(); // 关闭

        } catch (SQLException e1) {

            e1.printStackTrace(); // 抛出异常

        }

        return list; // 返回一个集合

    }



    public Data SelectAll() { // 根据ID进行查询
        String sql = "select * from info ";
        Connection conn = Util.getConn();
            Statement state = null;
            ResultSet rs = null;
            Data data = null;
            try {
                state = conn.createStatement();
                rs = state.executeQuery(sql);
                while (rs.next()) {

                    int id= rs.getInt("id");;
                    
                    String Province = rs.getString("Province");
                    
                    String Confirmed_num = rs.getString("Confirmed_num");
                    
                    String Yisi_num = rs.getString("Yisi_num");
                    
                    String Cured_num = rs.getString("Cured_num");
                    
                    String Dead_num = rs.getString("Dead_num");
                    
                    String Code = rs.getString("Code");
                    
                    String City = rs.getString("City");
                    
                    String Date=rs.getString("Date");
                    
                        data = new Data(id,Date,Province,City,Confirmed_num,Yisi_num,Cured_num,Dead_num,Code);
                }
            } catch (Exception e) {
                e.printStackTrace();
            } finally {
                Util.close(rs, state, conn);
            }
            return data;
        }
    
    
    
}

com.dao

 

Servlet层用于接受前端传来的日期，然后传递查找到的list里的值。这里要把list转换为json类型，方便将数据传进地图中。

 

package com.servlet;




import java.io.IOException;
import java.util.ArrayList;
import java.util.List;



import javax.servlet.ServletException;
import javax.servlet.annotation.WebServlet;
import javax.servlet.http.HttpServlet;

import javax.servlet.http.HttpServletRequest;

import javax.servlet.http.HttpServletResponse;
import javax.servlet.http.HttpSession;

import com.dao.Dao;
import com.google.gson.Gson;
import com.bean.*;


@WebServlet("/MapServlet")
public class MapServlet extends HttpServlet { // 显示全部数据



    private static final long serialVersionUID = 1L;



    protected void doGet(HttpServletRequest req, HttpServletResponse resp) throws ServletException, IOException {

        this.doPost(req, resp);

    }



    protected void doPost(HttpServletRequest req, HttpServletResponse resp) throws ServletException, IOException {

        req.setCharacterEncoding("utf-8");
        resp.setContentType("text/html;charset=utf-8");
        String Date=req.getParameter("time");
        Dao dao = new Dao();
        List<Data> list=null;
    
        list=dao.list(Date);
                                Gson gson = new Gson();
                                String json = gson.toJson(list);

                                System.out.println(json);
                                resp.getWriter().write(json);

    }

}

MapServlet

 

     3：然后就是JSP页面。运用$.ajax函数，访问MapServlet，返还json数据。然后将json中的数据放进数组中去，和地图数据对接。值得注意的是，数据库中的省份名称和地图的省份名称不同，导致数据无法显示。我在这一点上卡了好久，参考了同学的博客，从新定义名称便可解决这一问题。

nameMap : {

                    ‘南海诸岛‘ : ‘南海诸岛‘,
                    ‘北京‘ : ‘北京市‘,
                    ‘天津‘ : ‘天津市‘,
                    ‘上海‘ : ‘上海市‘,
                    ‘重庆‘ : ‘重庆市‘,
                    ‘河北‘ : ‘河北省‘,
                    ‘河南‘ : ‘河南省‘,
                    ‘云南‘ : ‘云南省‘,
                    ‘辽宁‘ : ‘辽宁省‘,
                    ‘黑龙江‘ : ‘黑龙江省‘,
                    ‘湖南‘ : ‘湖南省‘,
                    ‘安徽‘ : ‘安徽省‘,
                    ‘山东‘ : ‘山东省‘,
                    ‘新疆‘ : ‘新疆维吾尔自治区‘,
                    ‘江苏‘ : ‘江苏省‘,
                    ‘浙江‘ : ‘浙江省‘,
                    ‘江西‘ : ‘江西省‘,
                    ‘湖北‘ : ‘湖北省‘,
                    ‘广西‘ : ‘广西壮族自治区‘,
                    ‘甘肃‘ : ‘甘肃省‘,
                    ‘山西‘ : ‘山西省‘,
                    ‘内蒙古‘ : "内蒙古自治区",
                    ‘陕西‘ : ‘陕西省‘,
                    ‘吉林‘ : ‘吉林省‘,
                    ‘福建‘ : ‘福建省‘,
                    ‘贵州‘ : ‘贵州省‘,
                    ‘广东‘ : ‘广东省‘,
                    ‘青海‘ : ‘青海省‘,
                    ‘西藏‘ : ‘西藏自治区‘,
                    ‘四川‘ : ‘四川省‘,
                    ‘宁夏‘ : ‘宁夏回族自治区‘,
                    ‘海南‘ : ‘海南省‘,
                    ‘台湾‘ : ‘台湾‘,
                    ‘香港‘ : ‘香港‘,
                    ‘澳门‘ : ‘澳门‘
                }

地图中的颜色，左侧小导航图标等可以自行设置，具体可参考 https://www.echartsjs.com/examples/zh/editor.html?c=map-usa   下面是完整的代码

<%@ page language="java" contentType="text/html; charset=UTF-8"
    pageEncoding="UTF-8"%>
<%@taglib uri="http://java.sun.com/jsp/jstl/core" prefix="c"%>
<%@page import="com.bean.Data" %>
<!DOCTYPE html>
<html>
<head>
<meta charset="ISO-8859-1">
<title>Insert title here</title>
</head>
<meta charset="UTF-8">
     <link type="text/css" rel="stylesheet" href="css/style.css">

    <script src="js/echarts.min.js"></script>
    <script src="js/jquery-3.4.1.min.js"></script>
    <script src="js/china.js"></script>
<title>显示</title>
    <style>
        *{margin:0;padding:0}
        html,body{
            width:100%;
            height:100%;
        }
        #main{
              width:600px;
              height:450px;
              margin: 150px auto;
              border:1px solid #ddd;
          }
        /*默认长宽比0.75*/
    </style>
</head>

<body >
<br>
<h1>疫情统计表</h1>
<br>
<br>
<br>

<div>

<span>
        日期<input class="slide-up " type="date" id="time" name="time">
        <button class="clearfix" style="display:inline-block;float: centre;width:100px;height:40px" type="button" onclick="checkfind()">查询</button>&nbsp;&nbsp;&nbsp;&nbsp;
 </span><br><br>

</div>
  <div id="main">
  
  </div>
  <script type="text/javascript">


    function randomValue() {
        return Math.round(Math.random()*1000);
    }
    var dt;
    var data = new Array(0);
    function checkfind() {
        var time=document.getElementById("time").value;
        if(time=="")
        {
            alert("请输入时间！");
            return ;
        }
        else{
            time = $("#time").val();

            $.ajax({
                url : "MapServlet",
                async : true,
                type : "POST",
                data : {
                    "time" : time
                },
                dataType : "json",
                success : function(json) {
                    
                    
                    
                    for (var i = 0; i < json.length; i++) {
                        var d = {};
                        
                        d["name"] = json[i].Province;
                        d["value"] = json[i].Confirmed_num;
                        d["yisi_num"] = json[i].Yisi_num;
                        d["cured_num"] = json[i].Cured_num;
                        d["dead_num"] = json[i].Dead_num;
                        
                        
                        data.push(d);
                    }
                    

    var myChart = echarts.init(document.getElementById(‘main‘));
    function randomValue() {
        return Math.round(Math.random()*1000);
    }
    var optionMap = {
            backgroundColor : ‘#FFFFFF‘,
            title : {
                text : ‘全国疫情‘,
                subtext : ‘‘,
                x : ‘center‘
            },
            tooltip : {
                formatter : function(params) {
                    return params.name + ‘<br/>‘ + ‘确诊人数 : ‘
                            + params.value + ‘<br/>‘ + ‘死亡人数 : ‘
                            + params[‘data‘].dead_num + ‘<br/>‘ + ‘治愈人数 : ‘
                            + params[‘data‘].cured_num + ‘<br/>‘+ ‘疑似患者人数 : ‘
                            + params[‘data‘].yisi_num;
                }
            },

            //左侧小导航图标
            visualMap: {
                min: 0,
                max: 35000,
                left: ‘left‘,
                top: ‘bottom‘,
                text: [‘高‘,‘低‘],//取值范围的文字
                inRange: {
                    color: [‘#e0ffff‘, ‘#006edd‘]//取值范围的颜色
                },
                show:true//图注
            },
      

            //配置属性
            series : [ {
                type : ‘map‘,
                mapType : ‘china‘,
                label : {
                    show : true
                },
                data : data,
                nameMap : {

                    ‘南海诸岛‘ : ‘南海诸岛‘,
                    ‘北京‘ : ‘北京市‘,
                    ‘天津‘ : ‘天津市‘,
                    ‘上海‘ : ‘上海市‘,
                    ‘重庆‘ : ‘重庆市‘,
                    ‘河北‘ : ‘河北省‘,
                    ‘河南‘ : ‘河南省‘,
                    ‘云南‘ : ‘云南省‘,
                    ‘辽宁‘ : ‘辽宁省‘,
                    ‘黑龙江‘ : ‘黑龙江省‘,
                    ‘湖南‘ : ‘湖南省‘,
                    ‘安徽‘ : ‘安徽省‘,
                    ‘山东‘ : ‘山东省‘,
                    ‘新疆‘ : ‘新疆维吾尔自治区‘,
                    ‘江苏‘ : ‘江苏省‘,
                    ‘浙江‘ : ‘浙江省‘,
                    ‘江西‘ : ‘江西省‘,
                    ‘湖北‘ : ‘湖北省‘,
                    ‘广西‘ : ‘广西壮族自治区‘,
                    ‘甘肃‘ : ‘甘肃省‘,
                    ‘山西‘ : ‘山西省‘,
                    ‘内蒙古‘ : "内蒙古自治区",
                    ‘陕西‘ : ‘陕西省‘,
                    ‘吉林‘ : ‘吉林省‘,
                    ‘福建‘ : ‘福建省‘,
                    ‘贵州‘ : ‘贵州省‘,
                    ‘广东‘ : ‘广东省‘,
                    ‘青海‘ : ‘青海省‘,
                    ‘西藏‘ : ‘西藏自治区‘,
                    ‘四川‘ : ‘四川省‘,
                    ‘宁夏‘ : ‘宁夏回族自治区‘,
                    ‘海南‘ : ‘海南省‘,
                    ‘台湾‘ : ‘台湾‘,
                    ‘香港‘ : ‘香港‘,
                    ‘澳门‘ : ‘澳门‘
                }

            } ]
        };

 

        //使用制定的配置项和数据显示图表
        myChart.setOption(optionMap);
        myChart.on(‘click‘, function (params) {
             var url = "HeibeiData.jsp?province="+params.name+"&time="+time;
            window.location.href =url;
        });
    alert("成功！");
                },
                error : function() {
                    alert("请求失败");
                },
           });
    }
         
         }
  /*  setTimeout(function () {
        myChart.setOption({
            series : [
                {
                    name: ‘信息量‘,
                    type: ‘map‘,
                    geoIndex: 0,
                    data:dataList
                }
            ]
        });
    },1000)*/


</script>
    

</body>
</html>

ChinaData.jsp

 

 

运行效果截图：