JavaScript代码不会将geojson数据输出到传单地图上

我试图将geojson数据输出到一个传单.js映射上，但浏览器中的控制台输出输出如下一行：“UncaughtTypeError:无法读取null的属性'features'”

geojson大约有300000个纬度和经度点。我确实将geojson减少到了95个点，并且我能够在地图上绘制这些点。但是，当我尝试使用更大的geojson文件时，它不会打印

以下是js代码：

var myMap = L.map("map", {
  center: [-10.01194, -51.11583],
  zoom: 5
});


// Adding tile layer

L.tileLayer("https://api.tiles.mapbox.com/v4/{id}/{z}/{x}/{y}.png?access_token={accessToken}", {
  attribution: "Map data &copy; <a href='https://www.openstreetmap.org/'>OpenStreetMap</a> contributors, <a href='https://creativecommons.org/licenses/by-sa/2.0/'>CC-BY-SA</a>, Imagery © <a href='https://www.mapbox.com/'>Mapbox</a>",
  maxZoom: 20,
  id: "mapbox.streets",
  accessToken: API_KEY
}).addTo(myMap);

var newtry = "brazilian_fires2008.txt";

// Grab the data with d3

d3.json(newtry, function(response) {

  // Create a new marker cluster group

  var markers = L.markerClusterGroup();

  // Loop through data

  var lon;
  var lat;

  for(var a = 0; a < 10; a++)
  {
     lon = response.features[a].geometry.coordinates[1];
     lat = response.features[a].geometry.coordinates[0];

     markers.addLayer(L.marker([lon, lat]));
  }
        // Add our marker cluster layer to the map
    myMap.addLayer(markers);
  });

浏览器中的控制台输出输出以下行：

未捕获的TypeError:无法读取null的属性“features”

我相信js代码无法读取geojson。我预计会有几千分，但我什么也得不到。

如果您的错误是“Uncaught TypeError:无法读取null的属性“features”， 然后数据集未正确存储在文件“brazilian_fires2008.txt”中。 请再次检查文件名或文件路径，并确保它指向文件的正确路径

当前代码仍有错误：“无法读取未定义的属性“几何体” 您需要迭代到10。因此，将其更改为response.features.length

var dataset = {
  "type": "FeatureCollection",
  "features": [
    {
      "type": "Feature",
      "properties": {
        "acq_date": "2008-01-01",
        "latitude": -9.2096,
        "longitude": -36.8779,
        "brightness": 360.2,
        "confidence": 100,
        "bright_t31": 314.7,
        "frp": 92.0
      },
      "geometry": {
        "type": "Point",
        "coordinates": [
          -36.8779,
          -9.2096
        ]
      }
    },
    {
      "type": "Feature",
      "properties": {
        "acq_date": "2008-01-01",
        "latitude": -6.0089999999999995,
        "longitude": -38.3049,
        "brightness": 362.1,
        "confidence": 100,
        "bright_t31": 313.4,
        "frp": 109.5
      },
      "geometry": {
        "type": "Point",
        "coordinates": [
          -38.3049,
          -6.0089999999999995
        ]
      }
    },
 ]
};

var myMap = L.map("map", {
  center: [-10.01194, -51.11583],
  zoom: 5
});


// Adding tile layer

L.tileLayer("https://api.tiles.mapbox.com/v4/{id}/{z}/{x}/{y}.png?access_token={accessToken}", {
  attribution: "Map data &copy; <a href='https://www.openstreetmap.org/'>OpenStreetMap</a> contributors, <a href='https://creativecommons.org/licenses/by-sa/2.0/'>CC-BY-SA</a>, Imagery © <a href='https://www.mapbox.com/'>Mapbox</a>",
  maxZoom: 20,
  id: "mapbox.streets",
  accessToken: 'pk.eyJ1Ijoic21hcnRuZWd1cnkiLCJhIjoiY2p5aGFjdTVzMDI2NzNjbDdyYjhjZDdmeSJ9.Zl1LGRGQsFAxUP_jBqkZBQ'
}).addTo(myMap);

var response = dataset;

// Grab the data with d3


  // Create a new marker cluster group

  var markers = L.markerClusterGroup();

  // Loop through data

  var lon;
  var lat;

  for(var a = 0; a < response.features.length; a++)
  {
     lon = response.features[a].geometry.coordinates[1];
     lat = response.features[a].geometry.coordinates[0];

     markers.addLayer(L.marker([lon, lat]));
  }
        // Add our marker cluster layer to the map
    myMap.addLayer(markers);
    

var数据集={
“类型”：“FeatureCollection”，
“特点”：[
{
“类型”：“功能”，
“财产”：{
“acq_日期”：“2008-01-01”，
“纬度”：-9.2096，
“经度”：-36.8779，
“亮度”：360.2，
“信心”：100，
“bright_t31”：314.7，
“frp”：92.0
},
“几何学”：{
“类型”：“点”，
“坐标”：[
-36.8779,
-9.2096
]
}
},
{
“类型”：“功能”，
“财产”：{
“acq_日期”：“2008-01-01”，
“纬度”：-6.00899999995，
“经度”：-38.3049，
“亮度”：362.1，
“信心”：100，
“bright_t31”：313.4，
“frp”：109.5
},
“几何学”：{
“类型”：“点”，
“坐标”：[
-38.3049,
-6.0089999999999995
]
}
},
]
};
var myMap=L.map（“map”{
中心：[-10.01194，-51.11583]，
缩放：5
});
//添加瓷砖层
L.Tillelayer（“https://api.tiles.mapbox.com/v4/{id}/{z}/{x}/{y}.png？access_token={accessToken}“{
属性：“地图数据和副本；贡献者，图像©”，
maxZoom:20，
id:“地图盒。街道”，
accessToken:'pk.eyj1ijoic21hcnruzwd1cnkilchijoy2np5agfjdtvzmdi2nznjbddyjhjzddmesj9.zlllgrgqsfaxup_jBqkZBQ'
}).addTo（myMap）；
var响应=数据集；
//用d3抓取数据
//创建新的标记群集组
var markers=L.markerClusterGroup（）；
//循环浏览数据
瓦隆；
var lat；
对于（var a=0；a


根据浏览器控制台，错误标记在js代码的第29行，即：lon=response.features[a].geometry.coordinates[1]；lat=response.features[a].geometry.coordinations[0]<代码>未捕获类型错误：无法读取null的属性“features”
：这可能意味着
响应
为null，并且它无法尝试评估
响应。features
。虽然这样的事情可能发生在第三方库中，而不是代码中（但仍然可能是由于发送到库中的坏数据造成的）。你能得到完整的跟踪吗？您可能可以通过单击日志行上的某个内容来获取它。至于文件
brazilian_fires2008.txt
：如果只包含前100000个，会发生什么情况？或者从50000到100000？尝试文件的不同部分以缩小坏部分的范围。尝试不同的数量是不起作用的。你说它在前95个点起作用。它对前200个有效吗？500? 1000？如何知道文件是否存储不正确？我已尝试使用该文件的所有文件路径。。。



var dataset = {
  "type": "FeatureCollection",
  "features": [
    {
      "type": "Feature",
      "properties": {
        "acq_date": "2008-01-01",
        "latitude": -9.2096,
        "longitude": -36.8779,
        "brightness": 360.2,
        "confidence": 100,
        "bright_t31": 314.7,
        "frp": 92.0
      },
      "geometry": {
        "type": "Point",
        "coordinates": [
          -36.8779,
          -9.2096
        ]
      }
    },
    {
      "type": "Feature",
      "properties": {
        "acq_date": "2008-01-01",
        "latitude": -6.0089999999999995,
        "longitude": -38.3049,
        "brightness": 362.1,
        "confidence": 100,
        "bright_t31": 313.4,
        "frp": 109.5
      },
      "geometry": {
        "type": "Point",
        "coordinates": [
          -38.3049,
          -6.0089999999999995
        ]
      }
    },
 ]
};

var myMap = L.map("map", {
  center: [-10.01194, -51.11583],
  zoom: 5
});


// Adding tile layer

L.tileLayer("https://api.tiles.mapbox.com/v4/{id}/{z}/{x}/{y}.png?access_token={accessToken}", {
  attribution: "Map data &copy; <a href='https://www.openstreetmap.org/'>OpenStreetMap</a> contributors, <a href='https://creativecommons.org/licenses/by-sa/2.0/'>CC-BY-SA</a>, Imagery © <a href='https://www.mapbox.com/'>Mapbox</a>",
  maxZoom: 20,
  id: "mapbox.streets",
  accessToken: 'pk.eyJ1Ijoic21hcnRuZWd1cnkiLCJhIjoiY2p5aGFjdTVzMDI2NzNjbDdyYjhjZDdmeSJ9.Zl1LGRGQsFAxUP_jBqkZBQ'
}).addTo(myMap);

var response = dataset;

// Grab the data with d3


  // Create a new marker cluster group

  var markers = L.markerClusterGroup();

  // Loop through data

  var lon;
  var lat;

  for(var a = 0; a < response.features.length; a++)
  {
     lon = response.features[a].geometry.coordinates[1];
     lat = response.features[a].geometry.coordinates[0];

     markers.addLayer(L.marker([lon, lat]));
  }
        // Add our marker cluster layer to the map
    myMap.addLayer(markers);